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Data Science and Big Data: An Environment of Computational Intelligence

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Cover of 'Data Science and Big Data: An Environment of Computational Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Large-Scale Clustering Algorithms
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    Chapter 2 On High Dimensional Searching Spaces and Learning Methods
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    Chapter 3 Enhanced Over_Sampling Techniques for Imbalanced Big Data Set Classification
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    Chapter 4 Online Anomaly Detection in Big Data: The First Line of Defense Against Intruders
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    Chapter 5 Developing Modified Classifier for Big Data Paradigm: An Approach Through Bio-Inspired Soft Computing
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    Chapter 6 Unified Framework for Control of Machine Learning Tasks Towards Effective and Efficient Processing of Big Data
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    Chapter 7 An Efficient Approach for Mining High Utility Itemsets Over Data Streams
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    Chapter 8 Event Detection in Location-Based Social Networks
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    Chapter 9 Using Computational Intelligence for the Safety Assessment of Oil and Gas Pipelines: A Survey
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    Chapter 10 Big Data for Effective Management of Smart Grids
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    Chapter 11 Distributed Machine Learning on Smart-Gateway Network Towards Real-Time Indoor Data Analytics
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    Chapter 12 Predicting Spatiotemporal Impacts of Weather on Power Systems Using Big Data Science
Attention for Chapter 1: Large-Scale Clustering Algorithms
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