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Web and Big Data

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Cover of 'Web and Big Data'

Table of Contents

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    Book Overview
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    Chapter 1 Smooth Representation Clustering Based on Kernelized Random Walks
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    Chapter 2 A Joint Model for Water Scarcity Evaluation
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    Chapter 3 Efficient Stance Detection with Latent Feature
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    Chapter 4 Deep Analysis and Utilization of Malware’s Social Relation Network for Its Detection
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    Chapter 5 An Adversarial Machine Learning Model Against Android Malware Evasion Attacks
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    Chapter 6 Word Similarity Computation with Extreme-Similar Method
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    Chapter 7 Measuring the Wellness Indices of the Elderly Using RFID Sensors Data in a Smart Nursing Home
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    Chapter 8 Using Jaccard Distance Measure for Unsupervised Activity Recognition with Smartphone Accelerometers
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    Chapter 9 Speech Emotion Recognition Using Multiple Classifiers
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    Chapter 10 Intelligent Taxi Dispatching Based on Improved Artificial Fish Swarm Algorithm
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    Chapter 11 Correction of Telecom Localization Errors by Context Knowledge
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    Chapter 12 Inferring Unmet Human Mobility Demand with Multi-source Urban Data
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    Chapter 13 A Hybrid Approach of HTTP Anomaly Detection
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    Chapter 14 TaxiCluster: A Visualization Platform on Clustering Algorithms for Taxi Trajectories
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    Chapter 15 Transformation of XML Data Sources for Sequential Path Mining
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    Chapter 16 Graph Summarization Based on Attribute-Connected Network
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    Chapter 17 Timely Detection of Temporal Relations in RDF Stream Processing Scenario
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    Chapter 18 Finding Optimal Team for Multi-skill Task in Spatial Crowdsourcing
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    Chapter 19 CI-Bot: A Hybrid Chatbot Enhanced by Crowdsourcing
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    Chapter 20 Group Formation Based on Crowdsourced Top-k Recommendation
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    Chapter 21 Taxi Call Prediction for Online Taxicab Platforms
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    Chapter 22 Data Gathering Framework Based on Fog Computing Paradigm in VANETs
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    Chapter 23 Automatic Text Generation via Text Extraction Based on Submodular
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    Chapter 24 Collaborative Heterogeneous Information Embedding for Recommender Systems
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    Chapter 25 Comparative Research for Social Recommendations on VK
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