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Information Management and Big Data

Overview of attention for book
Cover of 'Information Management and Big Data'

Table of Contents

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    Book Overview
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    Chapter 1 Sense-Level Semantic Clustering of Hashtags
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    Chapter 2 Automatic Idiom Recognition with Word Embeddings
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    Chapter 3 A Text Mining-Based Framework for Constructing an RDF-Compliant Biodiversity Knowledge Repository
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    Chapter 4 Network Sampling Based on Centrality Measures for Relational Classification
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    Chapter 5 Dictionary-Based Sentiment Analysis Applied to a Specific Domain
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    Chapter 6 A Clustering Optimization Approach for Disaster Relief Delivery: A Case Study in Lima-Perú
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    Chapter 7 An Approach to Evaluate Class Assignment Semantic Redundancy on Linked Datasets
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    Chapter 8 Topic-Based Sentiment Analysis
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    Chapter 9 A Security Price Data Cleaning Technique: Reynold’s Decomposition Approach
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    Chapter 10 Big Data Architecture for Predicting Churn Risk in Mobile Phone Companies
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    Chapter 11 Social Networks of Teachers in Twitter
Attention for Chapter 4: Network Sampling Based on Centrality Measures for Relational Classification
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