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Big Data Innovations and Applications

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Table of Contents

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    Book Overview
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    Chapter 1 Enabling Joins over Cassandra NoSQL Databases
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    Chapter 2 MapReduce Join Across Geo-Distributed Data Centers
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    Chapter 3 Mobile Device Identification via User Behavior Analysis
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    Chapter 4 A SAT-Based Formal Approach for Verifying Business Process Configuration
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    Chapter 5 TSWNN+: Check-in Prediction Based on Deep Learning and Factorization Machine
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    Chapter 6 Deep Learning Based Sentiment Analysis on Product Reviews on Twitter
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    Chapter 7 A Cluster-Based Machine Learning Model for Large Healthcare Data Analysis
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    Chapter 8 Satire Detection in Turkish News Articles: A Machine Learning Approach
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    Chapter 9 Committee of the SGTM Neural-Like Structures with Extended Inputs for Predictive Analytics in Insurance
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    Chapter 10 Game Analytics on Free to Play
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    Chapter 11 A Decentralized File Sharing Framework for Sensitive Data
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    Chapter 12 The Information System for the Research in Carotid Atherosclerosis
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    Chapter 13 Big Data Analytics for Financial Crime Typologies
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    Chapter 14 Development of a Model for Identifying High-Risk Operations for AML/CFT Purposes
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    Chapter 15 Monitoring System for the Housing and Utility Services Based on the Digital Technologies IIoT, Big Data, Data Mining, Edge and Cloud Computing
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    Chapter 16 K-Means Method as a Tool of Big Data Analysis in Risk-Oriented Audit
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Title
Big Data Innovations and Applications
Published by
Springer International Publishing, September 2019
DOI 10.1007/978-3-030-27355-2
ISBNs
978-3-03-027354-5, 978-3-03-027355-2
Editors

Younas, Muhammad, Awan, Irfan, Benbernou, Salima

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