Web-based Support Systems for Sustainable Communities (2008)
W. N. Liu, J. T. Yao, L. Fan, Y. Y. Yao, X. D. Yang
This paper studies Web-based support systems for sustainable communities. A sustainable community is a community that respects the needs of both nature and future generations. A sustainable community...
Knowledge Extracted from Trained Neural Networks – What’s Next? (2008)
One of the major drawbacks or challenges of neural network models is that these models can not explain what they have done. Extracting rules from trained neural networks is one of the solutions for...
Knowledge Based Descriptive Neural Networks (2007)
Abstract This paper presents a study of knowledge based descriptive neural networks (DNN). DNN is a neural network that incorporates rules extracted from trained neural networks. One of the major...
Sensitivity Analysis of Neural Control (2007)
Chin-wang Tao, Hung T. Nguyen, J. T. Yao, Vladik Kreinovich
We provide explicit formulas that describe how sensitive the resulting signal of a neural network is to the measurement errors with which we measure the inputs.
L.V.: A study on Fuzzy Intrusion Detection (2005)
J. T. Yao, S. L. Zhao, L. V. Saxton
Current intrusion detection techniques mainly focus on discovering abnormal system events in computer networks and distributed communication systems. Clustering techniques are normally utilized to...
Feature selection with adjustable criteria (2005)
Abstract. We present a study on a rough set based approach for feature selection. Instead of using significance or support, Parameterized Average Support Heuristic (PASH) considers the overall...
The XML Algebra for Data Mining (2004)
The XML is a new standard for data representation and exchange on the Internet. There are studies on XML query languages as well as XML algebras in literature. However, attention has not been paid to...
Level Construction of Decision Trees (2004)
A partition-based framework is presented for a formal study of consistent classification problems. An information table is used as knowledge representation. Solutions to, and solution space of,...
J. T. Yao, V. V. Raghavan, G. Y. Wang, J. T. Yao, V. V. Raghavan, G. Y. Wang
ISBN: 0-9734039-6-9 WSS 2004
Web-based support systems (2003)
Web-based support systems (WSS) concern multidisciplinary investigations which combine computer technologies and domain specific studies. Domain specific studies focus on the investigation of...
Information granulation for Web based information retrieval support systems (2003)
In this paper, we discuss the potential applications of data mining techniques for the design of Web based information retrieval support systems (IRSS). In particular, we apply clustering methods for...
Sensitivity Analysis of Neural Control (2003)
Chin-wang Tao, Hung T. Nguyen, J. T. Yao, Vladik Kreinovich
We provide explicit formulas that describe how sensitive the resulting signal of a neural network is to the measurement errors with which we measure the inputs.
Sensitivity Analysis for Data Mining (2003)
An important issue of data mining is how to transfer data into information, the information into action, and the action into value or profit. This paper presents a study on applying sensitivity...
Lingras Halifax Canada, J. T. Yao, J. T. Yao, P. Lingras, P. Lingras, ...
Design and implementation of a research support system for web data mining has become a challenge for researchers wishing to utilize useful information on the web. This paper proposes a framework for...
Web-based Information Retrieval Support Systems: (2003)
Building Research Tools, J. T. Yao, Y. Y. Yao
The concept of Web-based Information Retrieval Support Systems (WIRSS) is introduced. The needs for WIRSS are shown by a detailed case study of existing research article indexing and citation...
CUPTRSS: A Web-based Research Support System (2003)
Hong Tang Yu, Yu Wu, J. T. Yao, Gouyin Wang, Y. Y. Yao
Research Support Systems (RSS) provide research organizations and scientists with information and facility for improving their research capacity, quality and productivity. Application of Web...
The concept of Web-based Information Retrieval Support Systems (WIRSS) is introduced. The needs for WIRSS are shown by a detailed case study of existing research article indexing and citation...
Induction of classification rules by granular computing (2002)
Abstract. A granular computing model is used for learning classification rules by considering the two basic issues: concept formation and concept relationships identification. A classification rule...
A granular computing approach to machine learning (2002)
The key to granular computing is to make use of granules in problem solving. Classification is one of the well studied problems in machine learning and data mining as it involves of discovery...
Granular computing as a basis for consistent classification problems (2002)
Within a granular computing model of data mining, we reformulate the consistent classification problems. The granulation structures are partitions of a universe. A solution to a consistent...
Induction of classification rules by granular computing (2002)
Abstract. A granular computing model is used for learning classification rules by considering the two basic issues: concept formation and concept relationships identification. A classification rule...