A Probabilistic Data Model and Its Semantics (2008)
As database systems are increasingly being used in advanced applications, it is becoming common that data in these applications contain some elements of uncertainty. These arise from many factors,...
Tractable Problems in Bayesian Networks (2008)
The complexity of probabilistic reasoning with Bayesian networks has recentlybeenproven to be NP-complete. So reducing the complexity ofsuchnetworks is an active issue in uncertainty reasoning. Much...
Trends & Controversies Domain-Driven, Actionable Knowledge Discovery (2008)
Longbing Cao, Longbing Cao, Chengqi Zhang
The complexities of real-world domain problems pose great challenges in the knowledge discovery and data mining (KDD) field. For example, existing technologies seldom deliver results that businesses...
ABSTRACT DDDM2007: Domain Driven Data Mining (2008)
Longbing Cao, Chengqi Zhang, Yanchang Zhao
Real-world data mining generally must consider and involve domain and business oriented factors such as human knowledge, constraints and business expectations. This encourages the development of a...
Missing Value Imputation Based on Data Clustering * (2008)
Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Yongsong Qin, Chengqi Zhang
Abstract. We propose an efficient nonparametric missing value imputation method based on clustering, called CMI (Clustering-based Missing value Imputation), for dealing with missing values in target...
Chengqi Zhang, Longbing Cao, Dan Luo, Ruwei Dai, Eng Chew, Metasynthetic Engineering
� Issues in building BI systems
GENETIC ALGORITHMS FOR ROBUST OPTIMIZATION IN FINANCIAL APPLICATIONS ABSTRACT (2008)
Li Lin, Longbing Cao, Chengqi Zhang
In stock market or other financial market systems, the technical trading rules are used widely to generate buy and sell alert signals. In each rule, there are many parameters. The users often want to...
DOI: 10.1080/08839510290030264 DISCOVERING CAUSALITY IN LARGE DATABASES (2008)
A causal rule between two variables, X! Y, captures the relationship that the presence of X causes the appearance of Y. Because of its usefulness (compared to association rules), techniques for...
Kernel-Based Multi-imputation for Missing Data * (2008)
Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
ABSTRACT: A Kernel-Based Nonparametric Multiple imputation method is proposed under MAR (Missing at Random) and MCAR (Missing Completely at Random) missing mechanisms in nonparametric regression...
Modelling Temporal Semantics of Data (2008)
Shichao Zhang, Chengqi Zhang, Zhenxing Qin
Recently, many temporal query languages, such as TCAL and TQuelhave been proposed for temporal databases. However, there are still some limitations such as the inadequacy on operating data with...
Chunsheng Li, Chengqi Zhang, Longbing Cao
Abstract. Ring-based architectural model is usually employed to promote the scalability and robustness of agent-based systems. However there are no criteria for evaluating the performance of...
ARMGA: IDENTIFYING INTERESTING ASSOCIATION RULES WITH GENETIC ALGORITHMS (2008)
Xiaowei Yan, Chengqi Zhang, Shichao Zhang, Faculty Of Information
& Priori-like algorithms for association rules mining have relied on two user-specified thresholds: minimum support and minimum confidence. There are two significant challenges to applying these...
Cost-Time Sensitive Decision Tree with Missing Values 1 (2008)
Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
Abstract. Cost-sensitive decision tree learning is very important and popular in machine learning and data mining community. There are many literatures focusing on misclassification cost and test...
Cost-Sensitive Imputing Missing Values with Ordering (2008)
Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Chengqi Zhang
missing values that are first imputed by mean/mode Various approaches for dealing with missing data have been method. Then it repeats until the accuracy doesn't increase. developed so far. In...
Clustering High-Dimensional Data with Low-Order Neighbors (2008)
Density-based and grid-based clustering are two main clustering approaches. The former is famous for its capability of discovering clusters of various shapes and eliminating noises, while the latter...
Adapting K-Means Algorithm for Discovering Clusters in Subspaces (2008)
Yanchang Zhao, Chengqi Zhang, Shichao Zhang, Lianwei Zhao
Abstract. Subspace clustering is a challenging task in the field of data mining. Traditional distance measures fail to differentiate the furthest point from the nearest point in very high dimensional...
Abstract Discovering Debtor Patterns of Centrelink Customers (2008)
Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming Ou, Jiarui Ni, Chengqi Zhang
Data mining is currently becoming an increasingly hot research field, but a large gap still remains between the research of data mining and its application in real-world business. As one of the...
Multi-database Mining, Shichao Zhang, Xindong Wu, Chengqi Zhang, Smart Distance, Information Systems, ...
Intelligence (TCCI) of the IEEE Computer Society deals with tools and systems using biologically and linguistically motivated computational paradigms such as artificial neural
Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data (2008)
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
Abstract. In many applications, old data in time series become less important as time elapses, which is a big challenge to traditional techniques for dimension reduction. To improve Discrete Wavelet...
Efficient Frequent Itemsets Mining by Sampling (2008)
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
Abstract. As the first stage for discovering association rules, frequent itemsets mining is an important challenging task for large databases. Sampling provides an efficient way to get approximating...
A Connectionist Model for Diagnosis (2008)
The task of diagnosis is to find a composite hypothesis that best explains a set of data. Generally, the number of the potential hypotheses is exponentially large so that finding a composite...
Dynamic Value-Based Diagnosis System for Assembler Programs (2008)
Li Lin, Yunfei Jiang, Zhaofu Fan, Chengqi Zhang
Program diagnosis is playing an increasingly important role in computer science. The key steps are general models, slice algorithms and techniques of candidate generation. In this paper, we...
A Comprehensive Synthesis Strategy for Conflict Resolutions in Distributed Expert Systems (2007)
In this paper, a comprehensive synthesis strategy for conflict resolutions in distributed expert systems is proposed. It consists of four steps: (a) if the range of uncertainties of solutions is not...
IMC: A Method for Interval Calculus in Matrix (2007)
Shichao Zhang, Shichao Zhang, Chengqi Zhang, Chengqi Zhang
. Time representation is important in many applications, such as temporal databases, planning, and multi-agents. Since Allen's work on binary interval relatons (called interval algebra), many...
An Efficient and Practical Diagnosis Model (2007)
The task of diagnosis, a typical abductive problem, is to find a hypothesis that best explains a set of observations. Generally, a neural network diagnostic reasoning model finds only one hypothesis...
A Neural Network Model for Diagnostic Problem Solving with Causal Chaining (2007)
. Two layer causal networks are limited for representing real diagnostic problems. In this paper, a neural network diagnosis method based on a multiple layer causal network is proposed. Multiple...
A Neural Network Method for Cancellation Diagnostic Problem Solving (2007)
. There are four types of diagnostic problems, among which cancellation diagnosis is the most difficult problem. In this paper, a neural network diagnosis model for solving cancellation diagnosis is...
A Diagnostic Reasoning Model Based On The Criticality Of Assumptions (2007)
It has been realized that the computational complexity of model-based diagnosis makes the mechanism impractical for real-world diagnosis tasks. One way to overcome this disadvantage is to focus the...
This paper develops a hybrid model which provides a unified framework for the fol-lowing four kinds of reasoning: 1) Zadeh's fuzzy approximate reasoning; 2) truthqualification uncertain...
Propagation Under Conditional Independence Assumptions (2007)
Abstract | In this paper, we prove that under the assumption of conditional independence, the EMYCIN formula for sequential propagation can be derived strictly from the de-nition of the certainty...
Xudong Luo, Chengqi Zhang, Nicholas R. Jennings
This paper develops a hybrid model which provides a unied framework for the following four kinds of reasoning: 1) Zadeh's fuzzy approximate reasoning; 2) truthquali cation uncertain reasoning...
Rough Set Based Decision Model in Information Retrieval and Filtering (2007)
Yuefeng Li, Chengqi Zhang, Jason R. Swan
In this paper, a model for information retrieval and filtering applications is proposed. The model uses rough set based decision approaches to deal with the relevance between users ' queries and...
Horizontal Cooperation under Uncertainties in Distributed Expert Systems (2007)
In this paper, a model to do horizontal cooperation under uncertainties in distributed expert systems is presented. This model uses synthesis of solutions under uncertainties and decision to fulfill...
Feature Article: Multi-Database Mining 5 Multi-Database Mining (2007)
Shichao Zhang, Xindong Wu, Chengqi Zhang
Abstract — Multi-database mining is an important research area because (1) there is an urgent need for analyzing data in different sources, (2) there are essential differences between mono- and...
Detecting inconsistency in biological molecular databases using ontologies (2007)
Chen, Qingfeng, Chen, Yi-Ping Phoebe, Zhang, Chengqi
The rapid growth of life science databases demands the fusion of knowledge from heterogeneous databases to answer complex biological questions. The discrepancies in nomenclature, various schemas and...
Building agent-based hybrid intelligent systems : a case study (2007)
Many complex problems (e.g., financial investment planning, foreign exchange trading, data mining from large/multiple databases) require hybrid intelligent systems that integrate many intelligent...
Probabilistic reasoning of inconsistent belief in protocol analysis (2007)
Chen, Qingfeng, Zhang, Chengqi, Chen, Yi-Ping Phoebe
Security protocols have been recently found with subtle flaws due to incomplete or ambiguous specification. Although formal methods have remarkably assisted in protocol analysis, they ignores the...
Building agent-based hybrid intelligent systems : a case study (2007)
Many complex problems (e.g., financial investment planning, foreign exchange trading, data mining from large/multiple databases) require hybrid intelligent systems that integrate many intelligent...
Detecting inconsistency in biological molecular databases using ontologies (2007)
Chen, Qingfeng, Chen, Yi-Ping Phoebe, Zhang, Chengqi
The rapid growth of life science databases demands the fusion of knowledge from heterogeneous databases to answer complex biological questions. The discrepancies in nomenclature, various schemas and...
Probabilistic reasoning of inconsistent belief in protocol analysis (2007)
Chen, Qingfeng, Zhang, Chengqi, Chen, Yi-Ping Phoebe
Security protocols have been recently found with subtle flaws due to incomplete or ambiguous specification. Although formal methods have remarkably assisted in protocol analysis, they ignores the...
Mining frequent itemsets for protein kinase regulation (2006)
Chen, Qingfeng, Chen, Yi-Ping Phoebe, Zhang, Chengqi, Li, Lianggang
Protein kinases, a family of enzymes, have been viewed as an important signaling intermediary by living organisms for regulating critical biological processes such as memory, hormone response and...
Detecting collusion attacks in security protocols (2006)
Chen, Qingfeng, Chen, Yi-Ping Phoebe, Zhang, Shichao, Zhang, Chengqi
Security protocols have been widely used to safeguard secure electronic transactions. We usually assume that principals are credible and shall not maliciously disclose their individual secrets to...
Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang, S. Zhang, ...
Abstract Missing data imputation is an important issue in machine learning and data mining. In this paper, we propose a new and efficient imputation method for a kind of missing data: semi-parametric...
Detecting collusion attacks in security protocols (2006)
Chen, Qingfeng, Chen, Yi-Ping Phoebe, Zhang, Shichao, Zhang, Chengqi
Security protocols have been widely used to safeguard secure electronic transactions. We usually assume that principals are credible and shall not maliciously disclose their individual secrets to...
Mining frequent itemsets for protein kinase regulation (2006)
Chen, Qingfeng, Chen, Yi-Ping Phoebe, Zhang, Chengqi, Li, Lianggang
Protein kinases, a family of enzymes, have been viewed as an important signaling intermediary by living organisms for regulating critical biological processes such as memory, hormone response and...
Agents and data mining: mutual enhancement by integration (2005)
Zhang, Chengqi, Zhang, Zili, Cao, Longbing
This paper tells a story of synergism of two cutting edge technologies — agents and data mining. By integrating these two technologies, the power for each of them is enhanced. Integrating...
Mining inconsistent secure messages toward analyzing security protocols (2005)
Zhang, Chengqi, Chen, Yi-Ping Phoebe, Zhang, Shichao, Chen, Qingfeng
Traditional approaches such as theorem proving and model checking have been successfully used to analyze security protocols. Ideally, they assume the data communication is reliable and require the...
A decremental algorithm for maintaining frequent itemsets in dynamic databases (2005)
Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Zhang
Abstract. Data mining and machine learning must confront the problem of pattern maintenance because data updating is a fundamental operation in data management. Most existing data-mining algorithms...
The Fish-eye Visualization of Foreign Currency Exchange Data (2005)
Streams Li Lin, Li Lin, Longbing Cao, Chengqi Zhang
In a foreign currency exchange market, there are highdensity data streams. The present approaches for visualization of this type of data cannot show us a figure with targeted both local details and...
A recent-biased dimension reduction technique for time series data (2005)
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
Abstract. There are many techniques developed for tackling time series and most of them consider every part of a sequence equally. In many applications, however, recent data can often be much more...
Mining inconsistent secure messages toward analyzing security protocols (2005)
Zhang, Chengqi, Chen, Yi-Ping Phoebe, Zhang, Shichao, Chen, Qingfeng
Traditional approaches such as theorem proving and model checking have been successfully used to analyze security protocols. Ideally, they assume the data communication is reliable and require the...
Agents and data mining: mutual enhancement by integration (2005)
Zhang, Chengqi, Zhang, Zili, Cao, Longbing
This paper tells a story of synergism of two cutting edge technologies — agents and data mining. By integrating these two technologies, the power for each of them is enhanced. Integrating...
Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving (2004)
Pt. I. Fundamentals of hybrid intelligent systems and agents -- 1. Introduction -- 2. Basics of hybrid intelligent systems -- 3. Basics of agents and multi-agent systems -- Pt. II. Methodology and...
Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving (2004)
Pt. I. Fundamentals of hybrid intelligent systems and agents -- 1. Introduction -- 2. Basics of hybrid intelligent systems -- 3. Basics of agents and multi-agent systems -- Pt. II. Methodology and...
Information enhancement for data mining (2004)
Many data analysis applications—such as data mining, information retrieval, machine learning, Web data management, data warehousing, and pattern recog-nition—need information enhancement. This...
Identifying Global Exceptional Patterns in (2004)
Chengqi Zhang, Meiling Liu, Wenlong Nie, Shichao Zhang
In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyze these local...
Discovering interesting association rules by clustering (2004)
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
Abstract. There are a great many metrics available for measuring the interestingness of rules. In this paper, we design a distinct approach for identifying association rules that maximizes the...
Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving (2004)
Pt. I. Fundamentals of hybrid intelligent systems and agents -- 1. Introduction -- 2. Basics of hybrid intelligent systems -- 3. Basics of agents and multi-agent systems -- Pt. II. Methodology and...
Cooperative strategy for web data mining and cleaning (2003)
Li, Yuefeng, Zhang, Chengqi, Zhang, Shichao
While the Internet and World Wide Web have put a huge volume of low-quality information at the easy access of an information gathering system, filtering out irrelevant information has become a big...
Cooperative strategy for web data mining and cleaning (2003)
Li, Yuefeng, Zhang, Chengqi, Zhang, Shichao
While the Internet and World Wide Web have put a huge volume of low-quality information at the easy access of an information gathering system, filtering out irrelevant information has become a big...
Cooperative strategy for web data mining and cleaning (2003)
Li, Yuefeng, Zhang, Chengqi, Zhang, Shichao
While the Internet and World Wide Web have put a huge volume of low-quality information at the easy access of an information gathering system, filtering out irrelevant information has become a big...
Cooperative strategy for web data mining and cleaning (2003)
Li, Yuefeng, Zhang, Chengqi, Zhang, Shichao
While the Internet and World Wide Web have put a huge volume of low-quality information at the easy access of an information gathering system, filtering out irrelevant information has become a big...
Cooperative strategy for web data mining and cleaning (2003)
Li, Yuefeng, Zhang, Chengqi, Zhang, Shichao
While the Internet and World Wide Web have put a huge volume of low-quality information at the easy access of an information gathering system, filtering out irrelevant information has become a big...
Agent-based hybrid framework for database mining (2003)
Zhang, Zili, Zhang, Chengqi, Zhang, Shichao
While knowledge discovery in databases (KDD) is defined as an iterative sequence of the following steps: data pre-processing, data mining, and post data mining, a significant amount of research in...
A ring-based architectural model for middle agents in agent-based system (2003)
Li, Chunsheng, Zhang, Chengqi, Zhang, Zili
In agent-based systems, the performance of middle agents not only relies on the matchmaking algorithms employed by them, but also the architecture that organizes them with suitable organizational...
Temporal constraint satisfaction in matrix method (2003)
Zhang, Chengqi, Zhang, Shichao, Zhang, Zili
Constraint satisfaction is a challenging problem in Interval Algebra (IA). So there are many efforts to attack this problem. After building a matrix method to deal with temporal reasoning problems,...
Building agent-based hybrid intelligent systems (2003)
Many complex problems including financial investment planning, foreign exchange trading, knowledge discovery from large/multiple databases require hybrid intelligent systems that integrate many...
Cooperative strategy for web data mining and cleaning (2003)
Li, Yuefeng, Zhang, Chengqi, Zhang, Shichao
While the Internet and World Wide Web have put a huge volume of low-quality information at the easy access of an information gathering system, filtering out irrelevant information has become a big...
Cooperative strategy for web data mining and cleaning (2003)
Li, Yuefeng, Zhang, Chengqi, Zhang, Shichao
While the Internet and World Wide Web have put a huge volume of low-quality information at the easy access of an information gathering system, filtering out irrelevant information has become a big...
Data preparation for data mining (2003)
Shichao Zhang, Chengqi Zhang, Qiang Yang
Data preparation is a fundamental stage of data analysis. While a lot of low-quality information is available in various data sources and on the Web, many organizations or companies are interested in...
An Agent-Based Hybrid Framework for Database Mining (2003)
Zili Zhang, Chengqi Zhang, Shichao Zhang
While knowledge discovery in databases (KDD) is defined as an iterative sequence of the following steps: data pre-processing, data mining, and post data mining, a significant amount of research in...
Temporal constraint satisfaction in matrix method (2003)
Chengqi Zhang, Shichao Zhang, Zili Zhang
Constraint satisfaction is a challenging problem in Interval Algebra (IA). So there are many efforts to attack this problem. After building a matrix method to deal with temporal reasoning problems,...
Cooperative strategy for web data mining and cleaning (2003)
Li, Yuefeng, Zhang, Chengqi, Zhang, Shichao
While the Internet and World Wide Web have put a huge volume of low-quality information at the easy access of an information gathering system, filtering out irrelevant information has become a big...
An agent-based hybrid framework for database mining (2003)
Zhang, Zili, Zhang, Chengqi, Zhang, Shichao
While knowledge discovery in databases (KDD) is defined as an iterative sequence of the following steps: data pre-processing, data mining, and post data mining, a significant amount of research in...
Building agent-based hybrid intelligent systems (2003)
Many complex problems including financial investment planning, foreign exchange trading, knowledge discovery from large/multiple databases require hybrid intelligent systems that integrate many...
Temporal constraint satisfaction in matrix method (2003)
Zhang, Chengqi, Zhang, Shichao, Zhang, Zili
Constraint satisfaction is a challenging problem in Interval Algebra (IA). So there are many efforts to attack this problem. After building a matrix method to deal with temporal reasoning problems,...
A ring-based architectural model for middle agents in agent-based system (2003)
Li, Chunsheng, Zhang, Chengqi, Zhang, Zili
In agent-based systems, the performance of middle agents not only relies on the matchmaking algorithms employed by them, but also the architecture that organizes them with suitable organizational...
A scalable and robust framework for agent-based heterogeneous database operation (2003)
Li, Chunsheng, Zhang, Chengqi, Chen, Qingfeng, Zhang, Zili
How to operate database efficiently and unfailingly in agent-based heterogeneous data source environment is becoming a big problem. In this paper, we contribute a framework and develop a couple of...
Cooperative strategy for web data mining and cleaning (2003)
Li, Yuefeng, Zhang, Chengqi, Zhang, Shichao
While the Internet and World Wide Web have put a huge volume of low-quality information at the easy access of an information gathering system, filtering out irrelevant information has become a big...
An agent-based hybrid intelligent system for financial investment planning (2002)
Many complex problems including financial investment planning require hybrid intelligent systems that integrate many intelligent techniques including expert systems, fuzzy logic, neural networks, and...
Zhang, Chengqi, Li, Chunsheng, Zhang, Zili
For making good decisions in the area of petroleum production, it is becoming a big problem how to timely gather sufficient and correct information, which may be stored in databases, data files, or...
Improvement to matchmaking algorithms for middle agents (2002)
A question frequently asked in multi-agent systems (MASs) concerns the efficient search for suitable agents to solve a specific problem. To answer this question, different types of middle agents are...
Propagating Temporal Relations of Intervals by Matrix (2002)
Shichao Zhang, Chengqi Zhang, S. Zhang, C. Zhang
Traditional temporal relations propagating is based on Allen ’ s Interval Algebra. This paper proposes an alternative method to propagate temporal relations among intervals, in which 5 £ 5...
An agent-based hybrid intelligent system for financial investment planning (2002)
Many complex problems including financial investment planning require hybrid intelligent systems that integrate many intelligent techniques including expert systems, fuzzy logic, neural networks, and...
An improvement to matchmaking algorithms for middle agents (2002)
A question frequently asked in multi-agent systems (MASs) concerns the efficient search for suitable agents to solve a specific problem. To answer this question, different types of middle agents are...
Zhang, Chengqi, Li, Chunsheng, Zhang, Zili
For making good decisions in the area of petroleum production, it is becoming a big problem how to timely gather sufficient and correct information, which may be stored in databases, data files, or...
Co-ordination in multi-agent systems : collected papers (2001)
Submitted to the School of Computing and Mathematics of the Faculty of Science and Technology, Deakin University. Includes bibliographies. A multi-agent system is a complex software system which is...
Multi-agent framework for financial investment planning (2001)
Zhang, Chengqi, Zhang, Zili, Li, Yuefeng
If a company or person wants to invest a lot of money, where, when, and how should the investment go? A multi-agent based Financial Investment Planner may give some reasonable answers to the above...
Reasoning with multimedia information using symbolic projection (2001)
In many multimedia application systems, it is not the final goal to retrieve the relevant multimedia information from different multimedia information sources. Rather, post-processing of the...
Xudong Luo, Chengqi Zhang, Ho-fung Leung
Abstract. The issue of information sharing and exchanging is one of the most important issues in the areas of articial intelligence and knowledge based systems, or even in the broader areas of...
A multi-agent framework for financial investment planning (2001)
Zhang, Chengqi, Zhang, Zili, Li, Yuefeng
If a company or person wants to invest a lot of money, where, when, and how should the investment go? A multi-agent based Financial Investment Planner may give some reasonable answers to the above...
Reasoning with multimedia information using symbolic projection (2001)
In many multimedia application systems, it is not the final goal to retrieve the relevant multimedia information from different multimedia information sources. Rather, post-processing of the...
An axiom foundation for uncertain reasonings in rule-based expert systems: NT-algebra (1999)
Abstract. This paper identies an axiom foundation for uncertain reasonings in rule-based expert systems: a near topological algebra (NTalgebra for short), which holds some basic notions hidden behind...
Information fusion and decision making for utility-based agents (1999)
We describe a model of utility-based agents that synthesizes information and determines the best way to make decisions in multi-agent systems. In this model, the beliefs are decomposed into two...
Yuefeng Li, Chengqi Zhang, Jason R. Swan
A model on indexing for information retrieval is presented in this paper. As a way to reduce the limitations over relevant functions, we propose an architecture which incorporates multilevel...
An axiom foundation for uncertain reasonings in rule-based expert systems: NT-algebra (1999)
Abstract. This paper identifies an axiom foundation for uncertain reasonings in rule-based expert systems: a near topological algebra (NTalgebra for short), which holds some basic notions hidden...
In this paper, firstly, potential synthesis cases in distributed expert systems (DESs) and types of DESs are identified. Based on these results, necessary conditions of synthesis strategies in...
Minjie Zhang School, Minjie Zhang, Chengqi Zhang
In this paper, firstly, potential synthesis cases in distributed expert systems (DESs) and types of DESs are identified. Based on these results, necessary conditions of synthesis strategies in...
IMC: A method for interval calculus in matrix (1999)
Abstract. Time representation is important in many applications, such as temporal databases, planning, and multi-agents. Since Allen’s work on binary interval relations (called interval algebra),...
Synthesis of solutions under uncertainties in distributed expert systems (1998)
The synthesis of solutions under uncertainties is one of the key issues for cooperation among expert systems in a distributed expert system. In this paper, we present a model to synthesise solutions...
Competing mechanism in horizontal cooperation (1998)
Abstract- Horizontal cooperation is one very basic kind of cooperation between expert systems. We argue that the principle of horizontal cooperation under uncertainties is cooperation and competing....
An algorithm for plan verification in multiple agent systems, to appear in (1998)
Abstract. In this paper, we propose an algorithm which can improve Katz and Rosenschein's plan verification algorithm. First, we represent the plan-like relations with adjacency lists and...
A method for combining interval structures (1998)
This paper provides a method for combining interval structures. This method consists of three steps: it first uses the product space to represent the new evidence space, then composes the cylindrical...
A Neural Network Model for Monotonic Diagnostic Problem Solving (1998)
The task of diagnosis is to find a hypothesis that best explains a set of manifestations (observations). Generally, it is computationally expensive to find a hypothesis because the number of the...
A Neural Network Diagnosis Model without Disorder Independence Assumption (1998)
. Generally, the disorders in a neural network diagnosis model are assumed independent each other. In this paper, we propose a neural network model for diagnostic problem solving where the disorder...
ILSNCC: a PROSPECTOR-Like uncertain reasoning model (1997)
The \take-them-in-or-leave-them-out " of prior probabilities is a key problem in uncertain reasoning. The EMYCIN uncertain reasoning model is inconsistent with probability theory, due to...
To Normalize the Relationship between the Certainty Factor Model and Probability Theory (1997)
Xudong Luo, Chengqi Zhang, Yuhui Qiu
In this paper, we prove that the EMYCIN formula for the sequential propagation can be derived strictly from the definition of the certainty factor according to probability theory. Some researchers...
ILSNCC: A PROSPECTOR-Like Uncertain Reasoning Model (1997)
: The "take-them-in-or-leave-them-out" of prior probabilities is a key problem in uncertain reasoning. The EMYCIN uncertain reasoning model is inconsistent with probability theory, due to...
The Weighting Issue in Fuzzy Logic (1997)
Xudong Luo, Chengqi Zhang, J. Cai, Jingqiu Cai
this paper is to establish a class of models for solving the weight problem in fuzzy logic. First, some constraints that weighted fuzzy logic should satisfy are given based on Triangular norms and...
In this paper, we develop a model for uncertain default reasoning. It has the following characteristics: 1) basic uncertainty is estimated in terms of an interval number, and so the ignorance about...
In this paper, two neural network mechanisms for synthesis of solutions in non-conflict cases in distributed expert systems (DESs) are proposed. The ideas are: inputs of the neural network are...
This paper presents the design and implementation of a knowledge-based communication system for distributed expert systems. This communication system has been designed to handle the wide range of...
An Improved Critical Diagnosis Reasoning Method (1996)
Model-based diagnosis mechanism has the disadvantage of a high computational complexity. One way to overcome this disadvantage is to focus the diagnosis on a reduced diagnostic space. In this paper,...
Synthesis Strategies in Non-conflict Cases in Distributed Expert Systems (1995)
Minjie Zhang And, Minjie Zhang, Chengqi Zhang
In this paper, both the general necessary conditions for all synthesis strategies and the specific necessary conditions for each synthesis case in distributed expert systems are identified. Based on...
Synthesis of Solutions in Distributed Expert Systems (1994)
Minjie Zhang And, Minjie Zhang, Chengqi Zhang
In this paper, all of the potential synthesis cases in distributed expert systems (DESs) are identified based on the relationship between the original evidence sets of solutions, and the types of...
Negotiation as a Metaphor for Conflict Resolution in Distributed Artificial Intelligence (1993)
Distributed artificial intelligence (DAI) is concerned with solving problems by applying both artificial intelligence techniques and multiple problem solvers. One of the critical research issue of...
Hecodes : a framework for heterogeneous cooperative distributed expert systems / (1990)
Thesis (Ph. D.)--University of Queensland, 1991.
A logical framework for knowledge sharing in multi-agent systems (1990)
Kaile Su, Xudong Luo, Huaiqing Wang, Chengqi Zhang, Shichao Zhang, Qingfeng Chen
Abstract. The issue of knowledge sharing has been an important topic in multi-agent research. Knowledge sharing leads to that agents analyze, judge and synthesize the told information so as to make...
ACTIVITY MINING: FROM ACTIVITIES TO ACTIONS
LONGBING CAO, YANCHANG ZHAO, CHENGQI ZHANG, HUAIFENG ZHANG
Activity data accumulated in real life, such as terrorist activities and governmental customer contacts, present special structural and semantic complexities. Activity data may lead to or be...