Discovery Science

Table of Contents

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   Book Overview
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   Chapter 1 Sentiment Knowledge Discovery in Twitter Streaming Data
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   Chapter 2 A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation
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   Chapter 3 Topology Preserving SOM with Transductive Confidence Machine
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   Chapter 4 An Artificial Experimenter for Enzymatic Response Characterisation
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   Chapter 5 Subgroup Discovery for Election Analysis: A Case Study in Descriptive Data Mining
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   Chapter 6 On Enumerating Frequent Closed Patterns with Key in Multi-relational Data
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   Chapter 7 Why Text Segment Classification Based on Part of Speech Feature Selection
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   Chapter 8 Speeding Up and Boosting Diverse Density Learning
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    Chapter 9 Incremental Learning of Cellular Automata for Parallel Recognition of Formal Languages
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    Chapter 10 Sparse Substring Pattern Set Discovery Using Linear Programming Boosting
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    Chapter 11 Discovery of Super-Mediators of Information Diffusion in Social Networks
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    Chapter 12 Integer Linear Programming Models for Constrained Clustering
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    Chapter 13 Efficient Visualization of Document Streams
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    Chapter 14 Bridging Conjunctive and Disjunctive Search Spaces for Mining a New Concise and Exact Representation of Correlated Patterns
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    Chapter 15 Graph Classification Based on Optimizing Graph Spectra
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    Chapter 16 Algorithm for Detecting Significant Locations from Raw GPS Data
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    Chapter 17 Discovery of Conservation Laws via Matrix Search
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    Chapter 18 Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle
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    Chapter 19 Exploiting Code Redundancies in ECOC
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    Chapter 20 Concept Convergence in Empirical Domains
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    Chapter 21 Equation Discovery for Model Identification in Respiratory Mechanics of the Mechanically Ventilated Human Lung
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    Chapter 22 Mining Class-Correlated Patterns for Sequence Labeling
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    Chapter 23 ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis
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    Chapter 24 Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships
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    Chapter 25 Incremental Mining of Closed Frequent Subtrees
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    Chapter 26 Optimal Online Prediction in Adversarial Environments
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    Chapter 27 Discovery of Abstract Concepts by a Robot
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    Chapter 28 Contrast Pattern Mining and Its Application for Building Robust Classifiers
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    Chapter 29 Towards General Algorithms for Grammatical Inference
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    Chapter 30 The Blessing and the Curse of the Multiplicative Updates