Trends and Applications in Knowledge Discovery and Data Mining

Table of Contents

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   Book Overview
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   Chapter 1 A Supporting Tool for IT System Security Specification Evaluation Based on ISO/IEC 15408 and ISO/IEC 18045
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   Chapter 2 An Investigation on Multi View Based User Behavior Towards Spam Detection in Social Networks
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   Chapter 3 A Cluster Ensemble Strategy for Asian Handicap Betting
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   Chapter 4 Designing an Integrated Intelligence Center: New Taipei City Police Department as an Example
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   Chapter 5 Early Churn User Classification in Social Networking Service Using Attention-Based Long Short-Term Memory
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   Chapter 6 Weakly Supervised Learning by a Confusion Matrix of Contexts
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   Chapter 7 Learning a Semantic Space for Modeling Images, Tags and Feelings in Cross-Media Search
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   Chapter 8 Adversarial Active Learning in the Presence of Weak and Malicious Oracles
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    Chapter 9 The Most Related Knowledge First: A Progressive Domain Adaptation Method
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    Chapter 10 Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps
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    Chapter 11 Deep Cascade of Extra Trees
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    Chapter 12 Algorithms for an Efficient Tensor Biclustering
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    Chapter 13 Change Point Detection in Periodic Panel Data Using a Mixture-Model-Based Approach
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    Chapter 14 Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification
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    Chapter 15 Protein Complexes Detection Based on Deep Neural Network
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    Chapter 16 Predicting Auction Price of Vehicle License Plate with Deep Residual Learning
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    Chapter 17 Mining Multispectral Aerial Images for Automatic Detection of Strategic Bridge Locations for Disaster Relief Missions
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    Chapter 18 Spike Sorting with Locally Weighted Co-association Matrix-Based Spectral Clustering
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    Chapter 19 Label Distribution Learning Based Age-Invariant Face Recognition
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    Chapter 20 Overall Loss for Deep Neural Networks
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    Chapter 21 Sentiment Analysis Based on LSTM Architecture with Emoticon Attention
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    Chapter 22 Aspect Level Sentiment Analysis with Aspect Attention
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    Chapter 23 Transfer Channel Pruning for Compressing Deep Domain Adaptation Models
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    Chapter 24 A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting
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    Chapter 25 Natural Language Business Intelligence Question Answering Through SeqtoSeq Transfer Learning
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    Chapter 26 Robust Faster R-CNN: Increasing Robustness to Occlusions and Multi-scale Objects
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    Chapter 27 Effectively Representing Short Text via the Improved Semantic Feature Space Mapping
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    Chapter 28 Probabilistic Graphical Model Based Highly Scalable Directed Community Detection Algorithm
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    Chapter 29 Hilltop Based Recommendation in Co-author Networks
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    Chapter 30 Neural Variational Collaborative Filtering for Top-K Recommendation