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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 Improved Rotated Local Binary Pattern
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    Chapter 2 An Introduction to Quantum Search Algorithm and Its Implementation
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    Chapter 3 Smart Waste Management for Segregating Different Types of Wastes
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    Chapter 4 Performance Evaluation and Analysis of Feature Selection Algorithms
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    Chapter 5 Vertex Importance Extension of Betweenness Centrality Algorithm
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    Chapter 6 Privacy Protection Data Analytics in Smart Home Environments with Secure Computation
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    Chapter 7 A Review of Software Defect Prediction Models
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    Chapter 8 A Study on Privacy-Preserving Approaches in Online Social Network for Data Publishing
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    Chapter 9 Parallel Clustering for Data Mining in CRM
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    Chapter 10 Digital Data Preservation—A Viable Solution
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    Chapter 11 Big Data Security Threats and Prevention Measures in Cloud and Hadoop
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    Chapter 12 Optimized Capacity Scheduler for MapReduce Applications in Cloud Environments
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    Chapter 13 Big Data Analytics Provides Actionable Insights into Ship Emissions
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    Chapter 14 Optimizing Deep Convolutional Neural Network for Facial Expression Recognitions
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    Chapter 15 Hybrid Kmeans with Improved Bagging for Semantic Analysis of Tweets on Social Causes
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    Chapter 16 Subspace Clustering—A Survey
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    Chapter 17 Revisiting Software Reliability
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    Chapter 18 Application of Classification Techniques for Prediction of Water Quality of 17 Selected Indian Rivers
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    Chapter 19 Trends in Document Analysis
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    Chapter 20 Comparison of Support Vector Machines With and Without Latent Semantic Analysis for Document Classification
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    Chapter 21 Facial Recognition, Expression Recognition, and Gender Identification
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    Chapter 22 Survey on Hybrid Data Mining Algorithms for Intrusion Detection System
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    Chapter 23 An Efficient Recognition Method for Handwritten Arabic Numerals Using CNN with Data Augmentation and Dropout
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    Chapter 24 Secured Human Authentication Using Finger-Vein Patterns
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    Chapter 25 Fuzzy-Based Machine Learning Algorithm for Intelligent Systems
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    Chapter 26 Exponential Spline Approximation for the Solution of Third-Order Boundary Value Problems
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    Chapter 27 Customer Lifetime Value: An Ensemble Model Approach
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    Chapter 28 A Cryptographic Algorithm Using Location-Based Service and Biometrics
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    Chapter 29 Secure and Energy Aware Shortest Path Routing Framework for WSN
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    Chapter 30 Air Pollution Monitoring System Using Wireless Sensor Network (WSN)
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    Chapter 31 Dynamic Range Implementation in Wi-Fi Access Point Through Range Adaptation Algorithm
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    Chapter 32 Air Quality Parameter Measurements System Using MQTT Protocol for IoT Communication Over GSM/GPRS Technology
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    Chapter 33 Comprehensive Analysis of Routing Protocols Surrounding Underwater Sensor Networks (UWSNs)
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    Chapter 34 Network Intrusion Detection in an Enterprise: Unsupervised Analytical Methodology
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    Chapter 35 Multi-stage Greenfield and Brownfield Network Optimization with Improved Meta Heuristics
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    Chapter 36 Implementing Signature Recognition System as SaaS on Microsoft Azure Cloud
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    Chapter 37 Target-Controlled Packet Forecast and Communication in Wireless Multimedia Sensor Networks
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Citations

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Title
Data Management, Analytics and Innovation
Published by
Springer Singapore, September 2018
DOI 10.1007/978-981-13-1402-5
ISBNs
978-9-81-131401-8, 978-9-81-131402-5
Editors

Balas, Valentina Emilia, Sharma, Neha, Chakrabarti, Amlan

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 19%
Student > Master 21 16%
Student > Bachelor 11 9%
Student > Doctoral Student 10 8%
Lecturer 7 5%
Other 21 16%
Unknown 34 26%
Readers by discipline Count As %
Computer Science 52 40%
Engineering 18 14%
Business, Management and Accounting 8 6%
Social Sciences 5 4%
Agricultural and Biological Sciences 2 2%
Other 6 5%
Unknown 38 29%