Jiuyong Li

An integrated model for next page access prediction (2009)

Accurate next web page prediction benefits many applications, e-business in particular. The most widely used techniques for this purpose are Markov Model, association rules and clustering. However,...

Exploring complex miRNA-mRNA interactions with Bayesian networks by splitting-averaging strategy (2009)

Accurate next web page prediction benefits many applications, e-business in particular. The most widely used techniques for this purpose are Markov Model, association rules and clustering. However,...

Liu, Bing, Li, Jiuyong, Tsykin, Anna, Liu, Lin, Gaur, Arti B

BMC Bioinformatics BioMed Central Methodology article Exploring complex miRNA-mRNA interactions with Bayesian (2009)

Bing Liu, Jiuyong Li, Anna Tsykin, Lin Liu, Arti B Gaur

networks by splitting-averaging strategy

Exploring complex miRNA-mRNA interactions with Bayesian networks by splitting-averaging strategy (2009)

Liu, Bing, Li, Jiuyong, Tsykin, Anna, Liu, Lin, Gaur, Arti B., Goodall, Gregory John

Exploring complex miRNA-mRNA interactions with Bayesian networks by splitting-averaging strategy (2009)

Liu, Bing, Li, Jiuyong, Tsykin, Anna, Liu, Lin, Gaur, Arti B., Goodall, Gregory John

Injecting purpose and trust into data anonymisation (2009)

Injecting purpose and trust into data anonymisation (2009)

Most existing works of data anonymisation target at the optimization of the anonymisation metrics to balance the data utility and privacy, whereas they ignore the effects of a requester’s trust...

Finding irredundant contained rewritings of tree pattern queries using views (2009)

Most existing works of data anonymisation target at the optimization of the anonymisation metrics to balance the data utility and privacy, whereas they ignore the effects of a requester’s trust...

Wang, Junhu, Wang, Kewen, Li, Jiuyong

Yes

Finding irredundant contained rewritings of tree pattern queries using views (2009)

Wang, Junhu, Wang, Kewen, Li, Jiuyong

Microdata protection through approximate microaggregation (2009)

Microdata protection through approximate microaggregation (2009)

Microdata protection is a hot topic in the field of Statistical Disclosure Control, which has gained special interest after the disclosure of 658000 queries by the America Online (AOL) search engine...

Finding irredundant contained rewritings of tree pattern queries using views (2009)

Microdata protection is a hot topic in the field of Statistical Disclosure Control, which has gained special interest after the disclosure of 658000 queries by the America Online (AOL) search engine...

Wang, Junhu, Wang, Kewen, Li, Jiuyong

Exploring complex miRNA-mRNA interactions with Bayesian networks by splitting-averaging strategy (2009)

Liu, Bing, Li, Jiuyong, Tsykin, Anna, Liu, Lin, Gaur, Arti B., Goodall, Gregory John

Microdata protection through approximate microaggregation (2009)

An integrated model for next page access prediction (2009)

Microdata protection is a hot topic in the field of Statistical Disclosure Control, which has gained special interest after the disclosure of 658000 queries by the America Online (AOL) search engine...

Injecting purpose and trust into data anonymisation (2009)

Accurate next web page prediction benefits many applications, e-business in particular. The most widely used techniques for this purpose are Markov Model, association rules and clustering. However,...

Exploring complex miRNA-mRNA interactions with Bayesian networks by splitting-averaging strategy (2009)

Most existing works of data anonymisation target at the optimization of the anonymisation metrics to balance the data utility and privacy, whereas they ignore the effects of a requester’s trust...

Liu, Bing, Li, Jiuyong, Tsykin, Anna, Liu, Lin, Gaur, Arti B

(α, k)-anonymous data publishing (2009)

Wong, Raymond K, Li, Jiuyong, Fu, Ada Wai-Chee, Wang, Ke Qiang

Achieving p-sensitive k-anonymity via anatomy (2009)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Ross, D

Priority driven K-anonymisation for privacy protection (2008)

Robustness analysis of diversified ensemble decision tree algorithms for Microarray data classification (2008)

[Abstract]: Given the threat of re-identi¯cation in our growing digital society, guaranteeing privacy while providing worthwhile data for knowledge discovery has become a diffcult problem....

Hu, Hong, Li, Jiuyong, Wang, Hua, Daggard, Grant, Wang, Li-Zhen

[Abstract]: Ensemble classification methods have shown promise for achieving higher classification accuracy for Microarray data classification analysis. As noise values do exist in all Microarray...

Using Multiple and Negative Target Rules to Make Classifiers More Understandable Abstract (2008)

Jiuyong Li, Jason Jones

One major goal for data mining is to understand data. Rule based methods are better than other methods in making mining results comprehensible. However, the current rule based classifiers make use a...

Robust Rule-Based Prediction (2008)

Jiuyong Li

Abstract—This paper studies a problem of robust rule-based classification, i.e., making predictions in the presence of missing values in data. This study differs from other missing value handling...

Combined Gene Selection Methods for Microarray Data Analysis (2008)

Hong Hu, Jiuyong Li, Hua Wang, Grant Daggard

Abstract. In recent years, the rapid development of DNA Microarray technology has made it possible for scientists to monitor the expression level of thousands of genes in a single experiment. As a...

A Fast Algorithm for Finding Correlation Clusters in Noise Data (2008)

Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming Yong

Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clustering sheds light on...

A Maximally Diversified Multiple Decision Tree Algorithm for Microarray Data Classification (2008)

Hong Hu, Jiuyong Li, Hua Wang, Grant Daggard, Mingren Shi

We investigate the idea of using diversified multiple trees for Microarray data classification. We propose an algorithm of Maximally Diversified Multiple Trees (MDMT), which makes use of a set of...

On the complexity of restricted k-anonymity problem (2008)

Portable devices of security and privacy preservation for e-learning (2008)

[Abstract]: One of the emerging concepts in microdata protection is k-anonymity, introduced by Samarati and Sweeney. k-anonymity provides a simple and efficient approach to protect private individual...

Authorization approaches for advanced permission-role assignments (2008)

[Abstract]: This paper systematically addresses the security and pricacy concerns for e-learning systems. An effective architecture of e-learning system is proposed for a thorough overview on...

Current Developments of k-Anonymous Data Releasing (2008)

[Abstract]: Role-based access control (RBAC) has been proven to be a flexible and useful access control model for information sharing in distributed collaborative environments. Permission-role...

Jiuyong Li; School Of Computer And Information Science, University Of South Australia, Adelaide, Hua Wang; Department Of Mathematics And Computing, University Of Southern Queensland, Toowoomba, Huidong Jin; NICTA Canberra Lab, Canberra ACT, Australia, Jianming Yong; School Of Information Systems, University Of Southern Queensland, Toowoomba

Disclosure-control is a traditional statistical methodology for protecting privacy when data is released for analysis. Disclosure-control methods have enjoyed a revival in the data mining community,...

ABSTRACT Mining Risk Patterns in Medical Data (2008)

Jiuyong Li

In this paper, we discuss a problem of finding risk patterns in medical data. We define risk patterns by a statistical metric, relative risk, which has been widely used in epidemiological research....

Integrating recommendation models for improved web page prediction accuracy (2008)

(p+, \alpha)-sensitive k-anonymity: a new enhanced privacy protection model (2008)

[Abstract]: Recent research initiatives have addressed the need for improved performance of Web page prediction accuracy that would profit many applications, e-business in particular. Different Web...

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Truta, Traian Marius, Li, Ping

[Abstract]: Publishing data for analysis from a microdata table containing sensitive attributes, while maintaining individual privacy, is a problem of increasing significance today. The k-anonymity...

On the complexity of restricted k-anonymity problem (2008)

(p+, \alpha)-sensitive k-anonymity: a new enhanced privacy protection model (2008)

[Abstract]: One of the emerging concepts in microdata protection is k-anonymity, introduced by Samarati and Sweeney. k-anonymity provides a simple and efficient approach to protect private individual...

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Truta, Traian Marius, Li, Ping

[Abstract]: Publishing data for analysis from a microdata table containing sensitive attributes, while maintaining individual privacy, is a problem of increasing significance today. The k-anonymity...

Current developments of k-anonymous data releasing (2008)

Li, Jiuyong, Wang, Hua, Jin, Huidong, Yong, Jianming

[Abstract]: Disclosure-control is a traditional statistical methodology for protecting privacy when data is released for analysis. Disclosure-control methods have enjoyed a revival in the data mining...

Current developments of k-anonymous data releasing (2008)

Li, Jiuyong, Wang, Hua, Jin, Huidong, Yong, Jianming

[Abstract]: Disclosure-control is a traditional statistical methodology for protecting privacy when data is released for analysis. Disclosure-control methods have enjoyed a revival in the data mining...

(p+, \alpha)-sensitive k-anonymity: a new enhanced privacy protection model (2008)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Truta, Traian Marius, Li, Ping

[Abstract]: Publishing data for analysis from a microdata table containing sensitive attributes, while maintaining individual privacy, is a problem of increasing significance today. The k-anonymity...

On the complexity of restricted k-anonymity problem (2008)

Current developments of k-anonymous data releasing (2008)

[Abstract]: One of the emerging concepts in microdata protection is k-anonymity, introduced by Samarati and Sweeney. k-anonymity provides a simple and efficient approach to protect private individual...

Li, Jiuyong, Wang, Hua, Jin, Huidong, Yong, Jianming

[Abstract]: Disclosure-control is a traditional statistical methodology for protecting privacy when data is released for analysis. Disclosure-control methods have enjoyed a revival in the data mining...

Prediction of student actions using weighted Markov models (2008)

Huang, Xiaodi, Yong, Jianming, Li, Jiuyong, Gao, Junbin

[Abstract]: The Markov model has been applied to many prediction applications including the student models of intelligent tutoring systems. In this paper, we extend this well-known model to the...

Prediction of student actions using weighted Markov models (2008)

Huang, Xiaodi, Yong, Jianming, Li, Jiuyong, Gao, Junbin

[Abstract]: The Markov model has been applied to many prediction applications including the student models of intelligent tutoring systems. In this paper, we extend this well-known model to the...

Portable devices of security and privacy preservation for e-learning (2008)

Authorization approaches for advanced permission-role assignments (2008)

[Abstract]: This paper systematically addresses the security and pricacy concerns for e-learning systems. An effective architecture of e-learning system is proposed for a thorough overview on...

L-diversity based dynamic update for large time-evolving microdata (2008)

[Abstract]: Role-based access control (RBAC) has been proven to be a flexible and useful access control model for information sharing in distributed collaborative environments. Permission-role...

Robustness analysis of diversified ensemble decision tree algorithms for Microarray data classification (2008)

[Abstract]: Data anonymization techniques based on enhanced privacy principles have been the focus of intense research in the last few years. All existing methods achieving privacy principles assume...

Hu, Hong, Li, Jiuyong, Wang, Hua, Daggard, Grant, Wang, Li-Zhen

[Abstract]: Ensemble classification methods have shown promise for achieving higher classification accuracy for Microarray data classification analysis. As noise values do exist in all Microarray...

Integrating recommendation models for improved web page prediction accuracy (2008)

Enhanced P-sensitive K - anonymity models for privacy preserving data publishing (2008)

[Abstract]: Recent research initiatives have addressed the need for improved performance of Web page prediction accuracy that would profit many applications, e-business in particular. Different Web...

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Truta, Traian Marius

[Abstract]: Publishing data for analysis from a micro data table containing sensitive attributes, while maintaining individual privacy, is a problem of increasing significance today. The k-anonymity...

Privacy preserving serial data publishing by role composition (2008)

Bu, Yingyi, Fu, Ada Wai-Chee, Wong, Raymond Chi-Wing, Chen, Lei, Li, Jiuyong

Previous works about privacy preserving serial data publishing on dynamic databases have relied on unrealistic assumptions of the nature of dynamic databases. In many applications, some sensitive...

Priority driven K-anonymisation for privacy protection (2008)

Enhanced P-sensitive K - anonymity models for privacy preserving data publishing (2008)

[Abstract]: Given the threat of re-identi¯cation in our growing digital society, guaranteeing privacy while providing worthwhile data for knowledge discovery has become a diffcult problem....

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Truta, Traian Marius

[Abstract]: Publishing data for analysis from a micro data table containing sensitive attributes, while maintaining individual privacy, is a problem of increasing significance today. The k-anonymity...

Priority driven K-anonymisation for privacy protection (2008)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Roddick, John

Robustness analysis of diversified ensemble decision tree algorithms for microarray data classification (2008)

Hong, Hu, Li, Jiuyong, Wang, Hua, Daggard, Grant, Wang, Li-Zhen, Wang, Xizhao

Comparing decision tree and optimal risk pattern mining for analysing emergency ultra short stay unit data (2008)

Petrus, Khaleel, Li, Jiuyong, Fahey, Paul, Wang, Xizhao

Privacy preserving serial data publishing by role composition (2008)

Bu, Yingyi, Fu, Ada Wai-Chee, Wong, Raymond Chi-Wing, Chen, Lei, Li, Jiuyong, Gerald Weber

Prediction of student actions using weighted Markov models (2008)

Huang, Xiaodi, Yong, Jianming, Li, Jiuyong, Gao, Junbin, Li, Shaozi

L-Diversity based dynamic update for large time-evolving microdata (2008)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Wobcke, W

A role-orientated BDI framework for real-time multiagent teaming (2008)

Leng, Jinsong, Li, Jiuyong, Jain, Lakhmi C

A role-based framework for multi-agent teaming (2008)

Leng, Jinsong, Li, Jiuyong, Jain, Lakhmi C, Lovrek, I

Enhanced P-sensitive K-anonymity models for privacy preserving data publishing (2008)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Truta, Traian Marius

Authorization approaches for advanced permission-role assignments (2008)

Wang, Hua, Yong, Jianming, Li, Jiuyong, Peng, Min, Shen, Weiming

(p+,a) -sensitve k-anonymity: a new enhanced privacy protection model (2008)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Truta, Traian Marius, Li, Ping, Wu, Qiang

Anonymization by local recoding in data with attribute hierarchical taxonomies (2008)

Li, Jiuyong, Pei, Jian

Integrating recommendation models for improved web page prediction accuracy (2008)

Khalil, Faten, Li, Jiuyong, Wang, Hua, Dobbie, Gillian

Portable devices of security and privacy preservation for e-learning (2008)

Yong, Jianming, Li, Jiuyong, Wang, Hua, Shen, Weiming

Current development of k-Anonymous data releasing (2008)

Li, Jiuyong, Wang, Hua, Jin, Huidong, Yong, Jianming

On the complexity of restricted k-anonymity problem (2008)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Zhang, Y

Portable devices of security and privacy preservation for e-learning (2008)

(p+, \alpha)-sensitive k-anonymity: a new enhanced privacy protection model (2008)

[Abstract]: This paper systematically addresses the security and pricacy concerns for e-learning systems. An effective architecture of e-learning system is proposed for a thorough overview on...

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Truta, Traian Marius, Li, Ping

[Abstract]: Publishing data for analysis from a microdata table containing sensitive attributes, while maintaining individual privacy, is a problem of increasing significance today. The k-anonymity...

On the complexity of restricted k-anonymity problem (2008)

Robustness analysis of diversified ensemble decision tree algorithms for Microarray data classification (2008)

[Abstract]: One of the emerging concepts in microdata protection is k-anonymity, introduced by Samarati and Sweeney. k-anonymity provides a simple and efficient approach to protect private individual...

Hu, Hong, Li, Jiuyong, Wang, Hua, Daggard, Grant, Wang, Li-Zhen

[Abstract]: Ensemble classification methods have shown promise for achieving higher classification accuracy for Microarray data classification analysis. As noise values do exist in all Microarray...

Current developments of k-anonymous data releasing (2008)

Li, Jiuyong, Wang, Hua, Jin, Huidong, Yong, Jianming

[Abstract]: Disclosure-control is a traditional statistical methodology for protecting privacy when data is released for analysis. Disclosure-control methods have enjoyed a revival in the data mining...

Authorization approaches for advanced permission-role assignments (2008)

Prediction of student actions using weighted Markov models (2008)

[Abstract]: Role-based access control (RBAC) has been proven to be a flexible and useful access control model for information sharing in distributed collaborative environments. Permission-role...

Huang, Xiaodi, Yong, Jianming, Li, Jiuyong, Gao, Junbin

[Abstract]: The Markov model has been applied to many prediction applications including the student models of intelligent tutoring systems. In this paper, we extend this well-known model to the...

Priority driven K-anonymisation for privacy protection (2008)

L-diversity based dynamic update for large time-evolving microdata (2008)

[Abstract]: Given the threat of re-identi¯cation in our growing digital society, guaranteeing privacy while providing worthwhile data for knowledge discovery has become a diffcult problem....

Integrating recommendation models for improved web page prediction accuracy (2008)

[Abstract]: Data anonymization techniques based on enhanced privacy principles have been the focus of intense research in the last few years. All existing methods achieving privacy principles assume...

Enhanced P-sensitive K - anonymity models for privacy preserving data publishing (2008)

[Abstract]: Recent research initiatives have addressed the need for improved performance of Web page prediction accuracy that would profit many applications, e-business in particular. Different Web...

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Truta, Traian Marius

[Abstract]: Publishing data for analysis from a micro data table containing sensitive attributes, while maintaining individual privacy, is a problem of increasing significance today. The k-anonymity...

Integrating recommendation models for improved web page prediction accuracy (2008)

Khalil, Faten, Li, Jiuyong, Wang, Hua, Dobbie, Gillian

Current development of k-Anonymous data releasing (2008)

Li, Jiuyong, Wang, Hua, Jin, Huidong, Yong, Jianming

Enhanced P-sensitive K-anonymity models for privacy preserving data publishing (2008)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Truta, Traian Marius

Authorization approaches for advanced permission-role assignments (2008)

Wang, Hua, Yong, Jianming, Li, Jiuyong, Peng, Min, Shen, Weiming

Portable devices of security and privacy preservation for e-learning (2008)

Yong, Jianming, Li, Jiuyong, Wang, Hua, Shen, Weiming

(p+,a) -sensitve k-anonymity: a new enhanced privacy protection model (2008)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Truta, Traian Marius, Li, Ping, Wu, Qiang

Anonymization by local recoding in data with attribute hierarchical taxonomies (2008)

Li, Jiuyong, Pei, Jian

On the complexity of restricted k-anonymity problem (2008)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Zhang, Y

A role-based framework for multi-agent teaming (2008)

Leng, Jinsong, Li, Jiuyong, Jain, Lakhmi C, Lovrek, I

Priority driven K-anonymisation for privacy protection (2008)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Roddick, John

Robustness analysis of diversified ensemble decision tree algorithms for microarray data classification (2008)

Hong, Hu, Li, Jiuyong, Wang, Hua, Daggard, Grant, Wang, Li-Zhen, Wang, Xizhao

Comparing decision tree and optimal risk pattern mining for analysing emergency ultra short stay unit data (2008)

Petrus, Khaleel, Li, Jiuyong, Fahey, Paul, Wang, Xizhao

Privacy preserving serial data publishing by role composition (2008)

Bu, Yingyi, Fu, Ada Wai-Chee, Wong, Raymond Chi-Wing, Chen, Lei, Li, Jiuyong, Gerald Weber

Prediction of student actions using weighted Markov models (2008)

Huang, Xiaodi, Yong, Jianming, Li, Jiuyong, Gao, Junbin, Li, Shaozi

L-Diversity based dynamic update for large time-evolving microdata (2008)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Wobcke, W

A role-orientated BDI framework for real-time multiagent teaming (2008)

Leng, Jinsong, Li, Jiuyong, Jain, Lakhmi C

Privacy preservation · Data (2008)

Raymond Wong, Jiuyong Li, Ada Fu, Ke Wang, R. Wong, J. Li (b, ...

Abstract Privacy preservation is an important issue in the release of data for mining purposes. The k-anonymity model has been introduced for protecting individual identification. Recent studies show...

On the complexity of restricted k-anonymity problem (2008)

(p+, \alpha)-sensitive k-anonymity: a new enhanced privacy protection model (2008)

[Abstract]: One of the emerging concepts in microdata protection is k-anonymity, introduced by Samarati and Sweeney. k-anonymity provides a simple and efficient approach to protect private individual...

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Truta, Traian Marius, Li, Ping

[Abstract]: Publishing data for analysis from a microdata table containing sensitive attributes, while maintaining individual privacy, is a problem of increasing significance today. The k-anonymity...

Robustness analysis of diversified ensemble decision tree algorithms for Microarray data classification (2008)

Hu, Hong, Li, Jiuyong, Wang, Hua, Daggard, Grant, Wang, Li-Zhen

[Abstract]: Ensemble classification methods have shown promise for achieving higher classification accuracy for Microarray data classification analysis. As noise values do exist in all Microarray...

Current developments of k-anonymous data releasing (2008)

Li, Jiuyong, Wang, Hua, Jin, Huidong, Yong, Jianming

[Abstract]: Disclosure-control is a traditional statistical methodology for protecting privacy when data is released for analysis. Disclosure-control methods have enjoyed a revival in the data mining...

Portable devices of security and privacy preservation for e-learning (2008)

Authorization approaches for advanced permission-role assignments (2008)

[Abstract]: This paper systematically addresses the security and pricacy concerns for e-learning systems. An effective architecture of e-learning system is proposed for a thorough overview on...

Prediction of student actions using weighted Markov models (2008)

[Abstract]: Role-based access control (RBAC) has been proven to be a flexible and useful access control model for information sharing in distributed collaborative environments. Permission-role...

Huang, Xiaodi, Yong, Jianming, Li, Jiuyong, Gao, Junbin

[Abstract]: The Markov model has been applied to many prediction applications including the student models of intelligent tutoring systems. In this paper, we extend this well-known model to the...

Priority driven K-anonymisation for privacy protection (2008)

L-diversity based dynamic update for large time-evolving microdata (2008)

[Abstract]: Given the threat of re-identi¯cation in our growing digital society, guaranteeing privacy while providing worthwhile data for knowledge discovery has become a diffcult problem....

Integrating recommendation models for improved web page prediction accuracy (2008)

[Abstract]: Data anonymization techniques based on enhanced privacy principles have been the focus of intense research in the last few years. All existing methods achieving privacy principles assume...

Enhanced P-sensitive K - anonymity models for privacy preserving data publishing (2008)

[Abstract]: Recent research initiatives have addressed the need for improved performance of Web page prediction accuracy that would profit many applications, e-business in particular. Different Web...

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Truta, Traian Marius

[Abstract]: Publishing data for analysis from a micro data table containing sensitive attributes, while maintaining individual privacy, is a problem of increasing significance today. The k-anonymity...

Authorization approaches for advanced permission-role assignments (2008)

Wang, Hua, Yong, Jianming, Li, Jiuyong, Peng, Min, Shen, Weiming

A role-based framework for multi-agent teaming (2008)

Leng, Jinsong, Li, Jiuyong, Jain, Lakhmi C, Lovrek, I

Integrating recommendation models for improved web page prediction accuracy (2008)

Khalil, Faten, Li, Jiuyong, Wang, Hua, Dobbie, Gillian

Current development of k-Anonymous data releasing (2008)

Li, Jiuyong, Wang, Hua, Jin, Huidong, Yong, Jianming

Enhanced P-sensitive K-anonymity models for privacy preserving data publishing (2008)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Truta, Traian Marius

Portable devices of security and privacy preservation for e-learning (2008)

Yong, Jianming, Li, Jiuyong, Wang, Hua, Shen, Weiming

(p+,a) -sensitve k-anonymity: a new enhanced privacy protection model (2008)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Truta, Traian Marius, Li, Ping, Wu, Qiang

Anonymization by local recoding in data with attribute hierarchical taxonomies (2008)

Li, Jiuyong, Pei, Jian

On the complexity of restricted k-anonymity problem (2008)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Zhang, Y

Priority driven K-anonymisation for privacy protection (2008)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Roddick, John

Robustness analysis of diversified ensemble decision tree algorithms for microarray data classification (2008)

Hong, Hu, Li, Jiuyong, Wang, Hua, Daggard, Grant, Wang, Li-Zhen, Wang, Xizhao

Comparing decision tree and optimal risk pattern mining for analysing emergency ultra short stay unit data (2008)

Petrus, Khaleel, Li, Jiuyong, Fahey, Paul, Wang, Xizhao

Privacy preserving serial data publishing by role composition (2008)

Bu, Yingyi, Fu, Ada Wai-Chee, Wong, Raymond Chi-Wing, Chen, Lei, Li, Jiuyong, Gerald Weber

Prediction of student actions using weighted Markov models (2008)

Huang, Xiaodi, Yong, Jianming, Li, Jiuyong, Gao, Junbin, Li, Shaozi

L-Diversity based dynamic update for large time-evolving microdata (2008)

Sun, Xiaoxun, Wang, Hua, Li, Jiuyong, Wobcke, W

A role-orientated BDI framework for real-time multiagent teaming (2008)

Leng, Jinsong, Li, Jiuyong, Jain, Lakhmi C

A fast algorithm for finding correlation clusters in noise data (2007)

Li, Jiuyong, Huang, Xiaodi, Selke, Clinton, Yong, Jianming

Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clustering sheds light on identifying...

A fast algorithm for finding correlation clusters in noise data (2007)

Li, Jiuyong, Huang, Xiaodi, Selke, Clinton, Yong, Jianming, Li, H., ...

Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clustering sheds light on identifying...

A fast algorithm for finding correlation clusters in noise data (2007)

Li, Jiuyong, Huang, Xiaodi, Selke, Clinton, Yong, Jianming

[Abstract]: Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clustering sheds light on...

A fast algorithm for finding correlation clusters in noise data (2007)

Li, Jiuyong, Huang, Xiaodi, Selke, Clinton, Yong, Jianming, Li, H., ...

[Abstract]: Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clustering sheds light on...

A fast algorithm for finding correlation clusters in noise data (2007)

Li, Jiuyong, Huang, Xiaodi, Selke, Clinton, Yong, Jianming

[Abstract]: Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clustering sheds light on...

A fast algorithm for finding correlation clusters in noise data (2007)

Li, Jiuyong, Huang, Xiaodi, Selke, Clinton, Yong, Jianming, Li, H., ...

[Abstract]: Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clustering sheds light on...

Integrating recommendation models for improved web page prediction accuracy (2007)

Integrating Markov Model with clustering for predicting web page accesses (2007)

[Abstract]: Recent research initiatives have addressed the need for improved performance of Web page prediction that would profit many applications, e-business in particular. Despite the various...

A fast algorithm for finding correlation clusters in noise data (2007)

[Abstract]: Predicting the next page to be accessed by Web users has attracted a large amount of research work lately due to the positive impact of such prediction on different areas of Web based...

Li, Jiuyong, Huang, Xiaodi, Selke, Clinton, Yong, Jianming

[Abstract]: Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clustering sheds light on...

Integrating recommendation models for improved web page prediction accuracy (2007)

Integrating Markov Model with clustering for predicting web page accesses (2007)

[Abstract]: Recent research initiatives have addressed the need for improved performance of Web page prediction that would profit many applications, e-business in particular. Despite the various...

A fast algorithm for finding correlation clusters in noise data (2007)

[Abstract]: Predicting the next page to be accessed by Web users has attracted a large amount of research work lately due to the positive impact of such prediction on different areas of Web based...

Li, Jiuyong, Huang, Xiaodi, Selke, Clinton, Yong, Jianming

Integrating Markov model with clustering for predicting web page accesses (2007)

A fast algorithm for finding correlation clusters in noise data (2007)

Li, Jiuyong, Huang, Xiaodi, Selke, Clinton, Yong, Jianming

Integrating Markov model with clustering for predicting web page accesses (2007)

A fast algorithm for finding correlation clusters in noise data (2007)

Li, Jiuyong, Huang, Xiaodi, Selke, Clinton, Yong, Jianming

[Abstract]: Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clustering sheds light on...

Integrating recommendation models for improved web page prediction accuracy (2007)

Integrating Markov Model with clustering for predicting web page accesses (2007)

[Abstract]: Recent research initiatives have addressed the need for improved performance of Web page prediction that would profit many applications, e-business in particular. Despite the various...

Integrating Markov model with clustering for predicting web page accesses (2007)

[Abstract]: Predicting the next page to be accessed by Web users has attracted a large amount of research work lately due to the positive impact of such prediction on different areas of Web based...

A fast algorithm for finding correlation clusters in noise data (2007)

Li, Jiuyong, Huang, Xiaodi, Selke, Clinton, Yong, Jianming

Integrating Markov model with clustering for predicting web page accesses (2007)

A fast algorithm for finding correlation clusters in noise data (2007)

Li, Jiuyong, Huang, Xiaodi, Selke, Clinton, Yong, Jianming

A fast algorithm for finding correlation clusters in noise data (2007)

Li, Jiuyong, Huang, Xiaodi, Selke, Clinton, Yong, Jianming

[Abstract]: Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clustering sheds light on...

Integrating recommendation models for improved web page prediction accuracy (2007)

Integrating Markov Model with clustering for predicting web page accesses (2007)

[Abstract]: Recent research initiatives have addressed the need for improved performance of Web page prediction that would profit many applications, e-business in particular. Despite the various...

Integrating Markov model with clustering for predicting web page accesses (2007)

[Abstract]: Predicting the next page to be accessed by Web users has attracted a large amount of research work lately due to the positive impact of such prediction on different areas of Web based...

A fast algorithm for finding correlation clusters in noise data (2007)

Li, Jiuyong, Huang, Xiaodi, Selke, Clinton, Yong, Jianming

A fast algorithm for finding correlation clusters in noise data (2007)

Li, Jiuyong, Huang, Xiaodi, Selke, Clinton, Yong, Jianming

[Abstract]: Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clustering sheds light on...

Integrating recommendation models for improved web page prediction accuracy (2007)

Integrating Markov Model with clustering for predicting web page accesses (2007)

[Abstract]: Recent research initiatives have addressed the need for improved performance of Web page prediction that would profit many applications, e-business in particular. Despite the various...

Integrating Markov model with clustering for predicting web page accesses (2007)

[Abstract]: Predicting the next page to be accessed by Web users has attracted a large amount of research work lately due to the positive impact of such prediction on different areas of Web based...

A fast algorithm for finding correlation clusters in noise data (2007)

Li, Jiuyong, Huang, Xiaodi, Selke, Clinton, Yong, Jianming

A maximally diversified multiple decision tree algorithm for microarray data classification (2006)

Hu, Hong, Li, Jiuyong, Wang, Hua, Daggard, Grant, Shi, Mingren

We investigate the idea of using diversified multiple trees for Microarray data classification. We propose an algorithm of Maximally Diversified Multiple Trees (MDMT), which makes use of a set of...

A maximally diversified multiple decision tree algorithm for microarray data classification (2006)

Hu, Hong, Li, Jiuyong, Wang, Hua, Daggard, Grant, Shi, Mingren, Boden, Mikael, ...

We investigate the idea of using diversified multiple trees for Microarray data classification. We propose an algorithm of Maximally Diversified Multiple Trees (MDMT), which makes use of a set of...

A maximally diversified multiple decision tree algorithm for microarray data classification (2006)

Hu, Hong, Li, Jiuyong, Wang, Hua, Daggard, Grant, Shi, Mingren

We investigate the idea of using diversified multiple trees for Microarray data classification. We propose an algorithm of Maximally Diversified Multiple Trees (MDMT), which makes use of a set of...

A maximally diversified multiple decision tree algorithm for microarray data classification (2006)

Hu, Hong, Li, Jiuyong, Wang, Hua, Daggard, Grant, Shi, Mingren, Boden, Mikael, ...

We investigate the idea of using diversified multiple trees for Microarray data classification. We propose an algorithm of Maximally Diversified Multiple Trees (MDMT), which makes use of a set of...

Analysis of breast feeding data using data mining methods (2006)

He, Hongxing, Jin, Huidong, Chen, Jie, McAullay, Damien, Li, Jiuyong, Fallon, Anthony Bruce

The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical survey is commonly used...

A comparative study of classification methods for microarray data analysis (2006)

Hu, Hong, Li, Jiuyong, Plank, Ashley, Wang, Hua, Daggard, Grant

In response to the rapid development of DNA Microarray technology, many classification methods have been used for Microarray classification. SVMs, decision trees, Bagging, Boosting and Random Forest...

A comparative study of classification methods for microarray data analysis (2006)

Hu, Hong, Li, Jiuyong, Plank, Ashley, Wang, Hua, Daggard, Grant, Christen, Peter, ...

In response to the rapid development of DNA Microarray technology, many classification methods have been used for Microarray classification. SVMs, decision trees, Bagging, Boosting and Random Forest...

Analysis of breast feeding data using data mining methods (2006)

He, Hongxing, Jin, Huidong, Chen, Jie, McAullay, Damien, Li, Jiuyong, Fallon, Anthony Bruce, ...

The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical survey is commonly used...

A framework of combining Markov model with association rules for predicting web page accesses (2006)

A framework of combining Markov model with association rules for predicting web page accesses (2006)

The importance of predicting Web users' behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models are the most commonly used...

Khalil, Faten, Li, Jiuyong, Wang, Hua, Christen, Peter, Kennedy, Paul J., Li, Jiuyong, ...

The importance of predicting Web users' behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models are the most commonly used...

A comparative study of classification methods for microarray data analysis (2006)

Hu, Hong, Li, Jiuyong, Plank, Ashley, Wang, Hua, Daggard, Grant

In response to the rapid development of DNA Microarray technology, many classification methods have been used for Microarray classification. SVMs, decision trees, Bagging, Boosting and Random Forest...

A framework of combining Markov model with association rules for predicting web page accesses (2006)

Analysis of breast feeding data using data mining methods (2006)

The importance of predicting Web users' behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models are the most commonly used...

He, Hongxing, Jin, Huidong, Chen, Jie, McAullay, Damien, Li, Jiuyong, Fallon, Tony

The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical survey is commonly used...

A comparative study of classification methods for microarray data analysis (2006)

Hu, Hong, Li, Jiuyong, Plank, Ashley, Wang, Hua, Daggard, Grant, Christen, Peter, ...

In response to the rapid development of DNA Microarray technology, many classification methods have been used for Microarray classification. SVMs, decision trees, Bagging, Boosting and Random Forest...

A framework of combining Markov model with association rules for predicting web page accesses (2006)

Khalil, Faten, Li, Jiuyong, Wang, Hua, Christen, Peter, Kennedy, Paul J., Li, Jiuyong, ...

The importance of predicting Web users' behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models are the most commonly used...

Analysis of breast feeding data using data mining methods (2006)

He, Hongxing, Jin, Huidong, Chen, Jie, McAullay, Damien, Li, Jiuyong, Fallon, Anthony Bruce, ...

The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical survey is commonly used...

Current developments of k-anonymous data releasing (2006)

Li, Jiuyong, Wang, Hua, Jin, Huidong, Yong, Jianming

Disclosure-control is a traditional statistical methodology for protecting privacy when data is released for analysis. Disclosure-control methods have enjoyed a revival in the data mining community,...

Current developments of k-Anonymous data releasing (2006)

Li, Jiuyong, Wang, Hua, Jin, Huidong, Yong, Jianming, Croll, Peter, Morarji, Hasmukh, ...

Disclosure-control is a traditional statistical methodology for protecting privacy when data is released for analysis. Disclosure-control methods have enjoyeda revival in the data mining community,...

Current developments of k-Anonymous data releasing (2006)

Li, Jiuyong, Wang, Hua, Jin, Huidong, Yong, Jianming

Disclosure-control is a traditional statistical methodology for protecting privacy when data is released for analysis. Disclosure-control methods have enjoyed a revival in the data mining community,...

Current developments of k-Anonymous data releasing (2006)

Li, Jiuyong, Wang, Hua, Jin, Huidong, Yong, Jianming, Croll, Peter, Morarji, Hasmukh, ...

Disclosure-control is a traditional statistical methodology for protecting privacy when data is released for analysis. Disclosure-control methods have enjoyeda revival in the data mining community,...

Using multiple and negative target rules to make classifiers more understandable (2006)

Using multiple and negative target rules to make classifiers more understandable (2006)

[Abstract]: One major goal for data mining is to understand data. Rule based methods are better than other methods in making mining results comprehensible. However, current rule based classifiers...

Combined gene selection methods for microarray data analysis (2006)

[Abstract]: One major goal for data mining is to understand data. Rule based methods are better than other methods in making mining results comprehensible. However, current rule based classifiers...

Hu, Hong, Li, Jiuyong, Wang, Hua, Daggard, Grant

[Abstract]: In recent years, the rapid development of DNA Microarray technology has made it possible for scientists to monitor the expression level of thousands of genes in a single experiment. As a...

Classification using multiple and negative target rules (2006)

Combined gene selection methods for microarray data analysis (2006)

[Abstract]: Rules are a type of human-understandable knowledge, and rule-based methods are very popular in building decision support systems. However, most current rule based classification systems...

Hu, Hong, Li, Jiuyong, Wang, Hua, Daggard, Grant, Gabrys, Bogdan, Howlett, Robert J., ...

[Abstract]: In recent years, the rapid development of DNA Microarray technology has made it possible for scientists to monitor the expression level of thousands of genes in a single experiment. As a...

Classification using multiple and negative target rules (2006)

Li, Jiuyong, Jones, Jason, Gabrys, Bogdan, Howlett, Robert J., Jain, Lakhmi C.

[Abstract]: Rules are a type of human-understandable knowledge, and rule-based methods are very popular in building decision support systems. However, most current rule based classification systems...

Using multiple and negative target rules to make classifiers more understandable (2006)

Combined gene selection methods for microarray data analysis (2006)

One major goal for data mining is to understand data. Rule based methods are better than other methods in making mining results comprehensible. However, current rule based classifiers make use of a...

Hu, Hong, Li, Jiuyong, Wang, Hua, Daggard, Grant

[Abstract]: In recent years, the rapid development of DNA Microarray technology has made it possible for scientists to monitor the expression level of thousands of genes in a single experiment. As a...

Classification using multiple and negative target rules (2006)

Using multiple and negative target rules to make classifiers more understandable (2006)

[Abstract]: Rules are a type of human-understandable knowledge, and rule-based methods are very popular in building decision support systems. However, most current rule based classification systems...