Principles of Data Mining and Knowledge Discovery

Table of Contents

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   Book Overview
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   Chapter 100 Knowledge discovery — A control theory perspective
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   Chapter 101 Modelling customer retention with Rough Data Models
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   Chapter 102 Share based measures for itemsets
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   Chapter 103 Parallel knowledge discovery using domain generalization graphs
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   Chapter 104 Rough set theory and rule induction techniques for discovery of attribute dependencies in medical information systems
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   Chapter 105 Logical calculi for knowledge discovery in databases
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   Chapter 106 Extraction of experts' decision process from clinical databases using rough set model
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   Chapter 107 Discovering of health risks and case-based forecasting of epidemics in a health surveillance system
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    Chapter 108 An algorithm for multi-relational discovery of subgroups
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    Chapter 109 Finding similar time series
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    Chapter 110 Exploration of document collections with self-organizing maps: A novel approach to similarity representation
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    Chapter 111 Pattern based browsing in document collections
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    Chapter 112 Induction of fuzzy characteristic rules
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    Chapter 113 Regression-based classification methods and their comparison with decision tree algorithms
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    Chapter 114 Attribute discovery and rough sets
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    Chapter 115 Generation of rules from incomplete information systems
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    Chapter 116 Knowledge discovery from software engineering data: Rough set analysis and its interaction with goal-oriented measurement
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    Chapter 117 Efficient multisplitting on numerical data
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    Chapter 118 SNOUT: An intelligent assistant for exploratory data analysis
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    Chapter 119 Exploratory analysis of biochemical processes using hybrid modeling methods
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    Chapter 120 Using signature files for querying time-series data
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    Chapter 121 A new and versatile method for association generation
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    Chapter 122 Bivariate decision trees
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    Chapter 123 Towards process-oriented tool support for knowledge discovery in databases
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    Chapter 124 A connectionist approach to structural similarity determination as a basis of clustering, classification and feature detection
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    Chapter 125 Searching for relational patterns in data
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    Chapter 126 Finding spatial clusters
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    Chapter 127 Interactive interpretation of hierarchical clustering
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    Chapter 128 The principle of transformation between efficiency and effectiveness: Towards a fair evaluation of the cost-effectiveness of KDD techniques
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    Chapter 129 Recognizing reliability of discovered knowledge
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    Chapter 130 Clustering techniques in biological sequence analysis
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    Chapter 131 TOAS intelligence mining; analysis of natural language processing and computational linguistics
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    Chapter 132 Algorithms for constructing of decision trees
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    Chapter 133 Mining in the phrasal frontier
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    Chapter 134 Mining time series using rough sets — A case study
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    Chapter 135 Neural networks design: Rough set approach to continuous data
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    Chapter 136 On meta levels of an organized society of KDD agents
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    Chapter 137 Using neural network to extract knowledge from database
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    Chapter 138 Induction of strong feature subsets
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    Chapter 139 Rough sets for data mining and knowledge discovery
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    Chapter 140 Techniques and applications of KDD
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    Chapter 141 A tutorial introduction to high performance data mining
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    Chapter 142 Data mining in the telecommunications industry