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Information Granularity, Big Data, and Computational Intelligence

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Cover of 'Information Granularity, Big Data, and Computational Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Nearest Neighbor Queries on Big Data
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    Chapter 2 Information Mining for Big Information
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    Chapter 3 Information Granules Problem: An Efficient Solution of Real-Time Fuzzy Regression Analysis
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    Chapter 4 How to Understand Connections Based on Big Data: From Cliques to Flexible Granules
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    Chapter 5 Graph-Based Framework for Evaluating the Feasibility of Transition to Maintainomics
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    Chapter 6 Incrementally Mining Frequent Patterns from Large Database
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    Chapter 7 Improved Latent Semantic Indexing-Based Data Mining Methods and an Application to Big Data Analysis of CRM
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    Chapter 8 The Property of Different Granule and Granular Methods Based on Quotient Space
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    Chapter 9 Towards an Optimal Task-Driven Information Granulation
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    Chapter 10 Information Granularity, Big Data, and Computational Intelligence
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    Chapter 11 Multi-granular Evaluation Model Through Fuzzy Random Regression to Improve Information Granularity
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    Chapter 12 Building Fuzzy Robust Regression Model Based on Granularity and Possibility Distribution
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    Chapter 13 The Role of Cloud Computing Architecture in Big Data
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    Chapter 14 Big Data Storage Techniques for Spatial Databases: Implications of Big Data Architecture on Spatial Query Processing
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    Chapter 15 The Web KnowARR Framework: Orchestrating Computational Intelligence with Graph Databases
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    Chapter 16 Customer Relationship Management and Big Data Mining
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    Chapter 17 Performance Competition for ISCIFCM and DPEI Models Under Uncontrolled Circumstances
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    Chapter 18 Rough Set Model Based Knowledge Acquisition of Market Movements from Economic Data
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    Chapter 19 Deep Neural Network Modeling for Big Data Weather Forecasting
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    Chapter 20 Current Knowledge and Future Challenge for Visibility Forecasting by Computational Intelligence
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    Chapter 21 Application of Computational Intelligence on Analysis of Air Quality Monitoring Big Data
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