Advanced Data Mining and Applications

Table of Contents

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   Book Overview
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   Chapter 1 Querying and Mining Strings Made Easy
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   Chapter 2 Distributed Training Large-Scale Deep Architectures
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   Chapter 3 Fault Detection and Localization in Distributed Systems Using Recurrent Convolutional Neural Networks
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   Chapter 4 Discovering Group Skylines with Constraints by Early Candidate Pruning
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   Chapter 5 Comparing MapReduce-Based k-NN Similarity Joins on Hadoop for High-Dimensional Data
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   Chapter 6 A Higher-Fidelity Frugal Quantile Estimator
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   Chapter 7 Fair Recommendations Through Diversity Promotion
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   Chapter 8 A Hierarchical Bayesian Factorization Model for Implicit and Explicit Feedback Data
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    Chapter 9 Empirical Analysis of Factors Influencing Twitter Hashtag Recommendation on Detected Communities
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    Chapter 10 Group Recommender Model Based on Preference Interaction
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    Chapter 11 Identification of Grey Sheep Users by Histogram Intersection in Recommender Systems
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    Chapter 12 A Feature-Based Approach for the Redefined Link Prediction Problem in Signed Networks
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    Chapter 13 From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach
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    Chapter 14 Calling for Response: Automatically Distinguishing Situation-Aware Tweets During Crises
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    Chapter 15 Efficient Revenue Maximization for Viral Marketing in Social Networks
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    Chapter 16 Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection of Social Disadvantage
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    Chapter 17 FRISK: A Multilingual Approach to Find twitteR InterestS via wiKipedia
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    Chapter 18 A Solution to Tweet-Based User Identification Across Online Social Networks
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    Chapter 19 Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning
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    Chapter 20 Mixed Membership Sparse Gaussian Conditional Random Fields
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    Chapter 21 Effects of Dynamic Subspacing in Random Forest
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    Chapter 22 Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach
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    Chapter 23 Hybrid Subspace Mixture Models for Prediction and Anomaly Detection in High Dimensions
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    Chapter 24 StruClus: Scalable Structural Graph Set Clustering with Representative Sampling
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    Chapter 25 Employing Hierarchical Clustering and Reinforcement Learning for Attribute-Based Zero-Shot Classification
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    Chapter 26 Environmental Sound Recognition Using Masked Conditional Neural Networks
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    Chapter 27 Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure
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    Chapter 28 A Framework for Clustering and Dynamic Maintenance of XML Documents
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    Chapter 29 Language-Independent Twitter Classification Using Character-Based Convolutional Networks
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    Chapter 30 Modeling Check-In Behavior with Geographical Neighborhood Influence of Venues
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    Chapter 31 An Empirical Study on Collective Online Behaviors of Extremist Supporters
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    Chapter 32 Your Moves, Your Device: Establishing Behavior Profiles Using Tensors
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    Chapter 33 An Approach for Identifying Author Profiles of Blogs
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    Chapter 34 Generating Topics of Interests for Research Communities
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    Chapter 35 An Evolutionary Approach for Learning Conditional Preference Networks from Inconsistent Examples
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    Chapter 36 Predicting Clinical Outcomes of Alzheimer’s Disease from Complex Brain Networks
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    Chapter 37 Doctoral Advisor or Medical Condition: Towards Entity-Specific Rankings of Knowledge Base Properties
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    Chapter 38 Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets
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    Chapter 39 Drug-Drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers
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    Chapter 40 People-Centric Mobile Crowdsensing Platform for Urban Design
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    Chapter 41 Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining
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    Chapter 42 An Intelligent Weighted Fuzzy Time Series Model Based on a Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting
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    Chapter 43 Mobile Robot Scheduling with Multiple Trips and Time Windows
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    Chapter 44 Feature Analysis for Duplicate Detection in Programming QA Communities
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    Chapter 45 A Joint Human/Machine Process for Coding Events and Conflict Drivers
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    Chapter 46 Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning
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    Chapter 47 Improving Chinese Sentiment Analysis via Segmentation-Based Representation Using Parallel CNN
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    Chapter 48 Entity Recognition by Distant Supervision with Soft List Constraint
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    Chapter 49 Structured Sentiment Analysis
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    Chapter 50 Improving Real-Time Bidding Using a Constrained Markov Decision Process
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    Chapter 51 PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network
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    Chapter 52 Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments
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    Chapter 53 Color-Sketch Simulator: A Guide for Color-Based Visual Known-Item Search
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    Chapter 54 Making Use of External Company Data to Improve the Classification of Bank Transactions
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    Chapter 55 Mining Load Profile Patterns for Australian Electricity Consumers
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    Chapter 56 STA: A Spatio-Temporal Thematic Analytics Framework for Urban Ground Sensing
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    Chapter 57 Privacy and Utility Preservation for Location Data Using Stay Region Analysis
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    Chapter 58 Location-Aware Human Activity Recognition
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    Chapter 59 SWYSWYK: A New Sharing Paradigm for the Personal Cloud
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    Chapter 60 Tools and Infrastructure for Supporting Enterprise Knowledge Graphs
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    Chapter 61 An Interactive Web-Based Toolset for Knowledge Discovery from Short Text Log Data
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    Chapter 62 Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media
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    Chapter 63 A System for Querying and Analyzing Urban Regions
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    Chapter 64 Detect Tracking Behavior Among Trajectory Data