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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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Title
Web and Big Data
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-69781-9
ISBNs
978-3-31-969780-2, 978-3-31-969781-9
Editors

Shaoxu Song, Matthias Renz, Yang-Sae Moon

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 8%
Student > Bachelor 1 4%
Researcher 1 4%
Professor > Associate Professor 1 4%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 19 76%
Readers by discipline Count As %
Computer Science 4 16%
Social Sciences 2 8%
Unknown 19 76%