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New Frontiers in Mining Complex Patterns

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Cover of 'New Frontiers in Mining Complex Patterns'

Table of Contents

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    Book Overview
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    Chapter 1 Learning Association Rules for Pharmacogenomic Studies
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    Chapter 2 Segment-Removal Based Stuttered Speech Remediation
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    Chapter 3 Identifying lncRNA-Disease Relationships via Heterogeneous Clustering
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    Chapter 4 Density Estimators for Positive-Unlabeled Learning
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    Chapter 5 Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum
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    Chapter 6 A Scaled-Correlation Based Approach for Defining and Analyzing Functional Networks
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    Chapter 7 Complex Localization in the Multiple Instance Learning Context
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    Chapter 8 Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform
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    Chapter 9 Usefulness of Unsupervised Ensemble Learning Methods for Time Series Forecasting of Aggregated or Clustered Load
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    Chapter 10 Phenotype Prediction with Semi-supervised Classification Trees
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    Chapter 11 Structuring the Output Space in Multi-label Classification by Using Feature Ranking
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    Chapter 12 Infinite Mixtures of Markov Chains
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    Chapter 13 Community-Based Semantic Subgroup Discovery
Attention for Chapter 9: Usefulness of Unsupervised Ensemble Learning Methods for Time Series Forecasting of Aggregated or Clustered Load
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