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Advances in Knowledge Discovery and Management

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Cover of 'Advances in Knowledge Discovery and Management'

Table of Contents

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    Book Overview
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    Chapter 1 Model Based Co-clustering of Mixed Numerical and Binary Data
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    Chapter 2 Co-clustering Based Exploratory Analysis of Mixed-Type Data Tables
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    Chapter 3 Automatically Selecting Complementary Vector Representations for Semantic Textual Similarity
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    Chapter 4 Detecting Sections and Entities in Court Decisions Using HMM and CRF Graphical Models
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    Chapter 5 Discriminant Chronicle Mining
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    Chapter 6 A Semantic-Based Approach for Landscape Identification
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    Chapter 7 Measuring the Expertise of Workers for Crowdsourcing Applications
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    Chapter 8 Trust Assessment for the Security of Information Systems
Attention for Chapter 2: Co-clustering Based Exploratory Analysis of Mixed-Type Data Tables
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