Discovery Science

Table of Contents

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   Book Overview
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   Chapter 1 Addressing Local Class Imbalance in Balanced Datasets with Dynamic Impurity Decision Trees
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   Chapter 2 Barricaded Boundary Minority Oversampling LS-SVM for a Biased Binary Classification
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   Chapter 3 Dynamic Classifier Chain with Random Decision Trees
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   Chapter 4 Feature Ranking with Relief for Multi-label Classification: Does Distance Matter?
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   Chapter 5 Finding Probabilistic Rule Lists using the Minimum Description Length Principle
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   Chapter 6 Leveraging Reproduction-Error Representations for Multi-Instance Classification
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   Chapter 7 Class Balanced Similarity-Based Instance Transfer Learning for Botnet Family Classification
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   Chapter 8 CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework
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    Chapter 9 MetaUtil: Meta Learning for Utility Maximization in Regression
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    Chapter 10 Predicting Rice Phenotypes with Meta-learning
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    Chapter 11 Preference-Based Reinforcement Learning Using Dyad Ranking
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    Chapter 12 COBRASTS: A New Approach to Semi-supervised Clustering of Time Series
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    Chapter 13 Exploiting the Web for Semantic Change Detection
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    Chapter 14 Online Gradient Boosting for Incremental Recommender Systems
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    Chapter 15 Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification
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    Chapter 16 Self Hyper-Parameter Tuning for Data Streams
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    Chapter 17 Compositional Subgroup Discovery on Attributed Social Interaction Networks
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    Chapter 18 Exceptional Attributed Subgraph Mining to Understand the Olfactory Percept
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    Chapter 19 Extending Redescription Mining to Multiple Views
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    Chapter 20 Author Tree-Structured Hierarchical Dirichlet Process
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    Chapter 21 k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text
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    Chapter 22 Hierarchical Expert Profiling Using Heterogeneous Information Networks
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    Chapter 23 Filtering Documents for Plagiarism Detection
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    Chapter 24 Most Important First – Keyphrase Scoring for Improved Ranking in Settings With Limited Keyphrases
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    Chapter 25 WS4ABSA: An NMF-Based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews
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    Chapter 26 Finding Topic-Specific Trends and Influential Users in Social Networks
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    Chapter 27 Identifying Control Parameters in Cheese Fabrication Process Using Precedence Constraints
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    Chapter 28 Less is More: Univariate Modelling to Detect Early Parkinson’s Disease from Keystroke Dynamics
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    Chapter 29 Sky Writer: Towards an Intelligent Smart-phone Gesture Tracing and Recognition Framework
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    Chapter 30 Visualization and Analysis of Parkinson’s Disease Status and Therapy Patterns