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Data Management, Analytics and Innovation

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Cover of 'Data Management, Analytics and Innovation'

Table of Contents

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    Book Overview
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    Chapter 1 An Empirical Study of Website Personalization Effect on Users Intention to Revisit E-commerce Website Through Cognitive and Hedonic Experience
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    Chapter 2 Hierarchical Summarization of Text Documents Using Topic Modeling and Formal Concept Analysis
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    Chapter 3 Green Information and Communication Technology Techniques in Higher Technical Education Institutions for Future Sustainability
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    Chapter 4 A Comparative Study of Different Similarity Metrics in Highly Sparse Rating Dataset
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    Chapter 5 Multi-document Summarization and Opinion Mining Using Stack Decoder Method and Neural Networks
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    Chapter 6 Data Mining Technology with Fuzzy Logic, Neural Networks and Machine Learning for Agriculture
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    Chapter 7 6-Tier Design Framework for Smart Solution as a Service (SSaaS) Using Big Data
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    Chapter 8 How Marketing Decisions are Taken with the Help of Big Data
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    Chapter 9 Big Data Forensic Analytics
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    Chapter 10 An Approach for Temporal Ordering of Medical Case Reports
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    Chapter 11 Big Data Analytics: A Trading Strategy of NSE Stocks Using Bollinger Bands Analysis
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    Chapter 12 Handling Concept Drift in Data Streams by Using Drift Detection Methods
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    Chapter 13 Policy-Based Access Control Scheme for Securing Hadoop Ecosystem
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    Chapter 14 Defect Detection in Oil and Gas Pipeline: A Machine Learning Application
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    Chapter 15 Measuring Individual Performance with the Help of Big Data—IPES Framework
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    Chapter 16 Consumer Engagement Pattern Analysis Leading to Improved Churn Analytics: An Approach for Telecom Industry
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    Chapter 17 Writer-Independent Offline Signature Verification System
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    Chapter 18 Maximizing Pickup Efficiency and Utilization in Online Grocery: Two-Phase Heuristic Approach
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    Chapter 19 Review of Various Techniques Used for Automatic Detection of Malignancy in Pap Smear Test
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    Chapter 20 Queue Classification for Fraud Types: Banking Domain
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    Chapter 21 Portfolio Optimization Framework—Recommending Optimal Products and Services in a Dynamic Setup
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    Chapter 22 Movie Recommender System Based on Collaborative Filtering Using Apache Spark
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    Chapter 23 Design a Smart and Intelligent Routing Network Using Optimization Techniques
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    Chapter 24 Recommender System for Shopping: A Design for Smart Malls
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    Chapter 25 Continuous Facial Emotion Recognition System Using PCA for Ambient Living
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    Chapter 26 Segregation of Similar and Dissimilar Live RSS News Feeds Based on Similarity Measures
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    Chapter 27 Machine Learning for Personality Analysis Based on Big Five Model
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    Chapter 28 A Personalized Context-Aware Recommender System Based on User-Item Preferences
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    Chapter 29 Plant Classification Using Image Processing and Neural Network
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    Chapter 30 Robot Soccer Strategy Reduction by Representatives
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    Chapter 31 A Comprehensive Survey on Ransomware Attack: A Growing Havoc Cyberthreat
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    Chapter 32 GPU-Based Integrated Security System for Minimizing Data Loss in Big Data Transmission
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    Chapter 33 Defending Jellyfish Attack in Mobile Ad hoc Networks via Novel Fuzzy System Rule
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    Chapter 34 Firefly Swarm: Metaheuristic Swarm Intelligence Technique for Mathematical Optimization
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    Chapter 35 An Analysis of Cloud Computing Issues on Data Integrity, Privacy and Its Current Solutions
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    Chapter 36 An Effective Hybrid Intrusion Detection System for Use in Security Monitoring in the Virtual Network Layer of Cloud Computing Technology
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    Chapter 37 IALM: Interference Aware Live Migration Strategy for Virtual Machines in Cloud Data Centres
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    Chapter 38 Artificial Bee Colony Optimization—Population-Based Meta-Heuristic Swarm Intelligence Technique
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    Chapter 39 Enhanced VSDL Hash Algorithm for Data Integrity and Protection
Overall attention for this book and its chapters
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Mentioned by

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Citations

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Readers on

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Title
Data Management, Analytics and Innovation
Published by
Springer Singapore, January 2019
DOI 10.1007/978-981-13-1274-8
ISBNs
978-9-81-131273-1, 978-9-81-131274-8
Editors

Valentina Emilia Balas, Neha Sharma, Amlan Chakrabarti

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 13%
Student > Ph. D. Student 7 11%
Student > Bachelor 5 8%
Student > Doctoral Student 4 6%
Lecturer 4 6%
Other 6 10%
Unknown 28 45%
Readers by discipline Count As %
Computer Science 15 24%
Business, Management and Accounting 6 10%
Engineering 4 6%
Agricultural and Biological Sciences 2 3%
Mathematics 2 3%
Other 2 3%
Unknown 31 50%