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Granular Nested Causal Complexes
Causal reasoning occupies a central position in human reasoning. In many ways, causality is granular. This is true for: perception, commonsense...
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Using an Adapted Classification Based on Associations Algorithm in an Activity-Based Transportation System
A lot of research has been carried out in the past by using association rules to build more accurate classifiers. The idea behind these integrated...
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The Evolution of the Concept of Fuzzy Measure
Most information discovery processes need to understand the reasons of the success of the inference methods or the usability of the new information,...
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Discovering the Factors Affecting the Location Selection of FDI in China*
Since the late 1970s, Foreign Direct Investment (FDI) has played an important role in the economic development of China. However, the growth of FDI...
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4. Stability of Nonlinear Switched and Impulsive Systems
In this chapter, we shall study the stability of nonlinear switched and impulsive systems of the form...
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Sequential Pattern Mining*
Sequential pattern discovery has emerged as an important research topic in knowledge discovery and data mining with broad applications. Previous...
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Uncertain Knowledge Association Through Information Gain
The problem of entity association is at the core of information mining techniques. In this work we propose an approach that links the similarity of...
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1. Examples and Modelling of Switched and Impulsive Systems
When you begin to read this book, you may ask: “what is a switched and impulsive system?” This is a question that may be best answered through...
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Clustering Via Decision Tree Construction
Clustering is an exploratory data analysis task. It aims to find the intrinsic structure of data by organizing data objects into similarity groups or...
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A New Theoretical Framework for K-Means-Type Clustering
One of the fundamental clustering problems is to assign n points into k clusters based on the minimal sum-of-squares(MSSC), which is known to be...
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Intelligent Agents that Learn to Deliver Online Materials to Students Better: Agent Design, Simulation and Assumptions
In this chapter, we discuss an integrated framework of case-based learning (CBL) in an agent that intelligently delivers learning materials to...
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Integrated Clustering Modeling with Backpropagation Neural Network for Effcient Customer Relationship Management
The rapid progress in digital data acquisition and storage technology has lead to the fast growing tremendous and amount of data stored in databases,...
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9. Switched Scalable Video Coding Systems
Scalable video coding means that a video sequence is only encoded once and the coded bitstream has the capability of sending any sub-bitstream...
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The Mathematics of Learning: Dealing with Data *
Learning is key to develo** systems tailored to a broad range of data analysis and information extraction tasks. We outline the mathematical...
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Web Page Classification*
This chapter describes systems that automatically classify web pages into meaningful categories. It first defines two types of web page...
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Sequential Pattern Mining by Pattern-Growth: Principles and Extensions*
Sequential pattern mining is an important data mining problem with broad applications. However, it is also a challenging problem since the mining may...
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Intelligent Agents to Improve Adaptivity in A Web-Based Learning Environment
This chapter focuses on the use of intelligent agents in on-line learning environments in which educational organizations can equip students with...
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A C + + Parser for VOTables
This paper provides a brief description of C + + Parser for VOTables. The parser is developed by Persistent Systems in association with IUCAA as part...
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Visualisation Tools for Very Large Amounts of Data
Can we perceive a billion stars? How would you go about classifying them? How quantitatively good would your analysis be? How reliable would your...
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