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Data Management, Analytics and Innovation

Overview of attention for book
Data Management, Analytics and Innovation
Springer Singapore

Table of Contents

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    Book Overview
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    Chapter 1 Sequence Mining-Based Support Vector Machine with Decision Tree Approach for Efficient Time Series Data Classification
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    Chapter 2 Identifying Phishing Through Web Content and Addressed Bar-Based Features
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    Chapter 3 A Unified Framework for Outfit Design and Advice
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    Chapter 4 Contextual Relevance of ICT-CALL Modules and Its Role in Promoting Employability Skills Among Engineering Students—A Study
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    Chapter 5 A Clinically Applicable Automated Risk Classification Model for Pulmonary Nodules
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    Chapter 6 A Generalized Ensemble Machine Learning Approach for Landslide Susceptibility Modeling
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    Chapter 7 Comparative Evaluation of AVIRIS-NG and Hyperion Hyperspectral Image for Talc Mineral Identification
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    Chapter 8 Real-Time Scheduling Approach for IoT-Based Home Automation System
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    Chapter 9 Floating Car Data Map-Matching Utilizing the Dijkstra’s Algorithm
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    Chapter 10 Calculating AQI Using Secondary Pollutants for Smart Air Management System
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    Chapter 11 Enhanced Prediction of Heart Disease Using Particle Swarm Optimization and Rough Sets with Transductive Support Vector Machines Classifier
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    Chapter 12 DataCan: Robust Approach for Genome Cancer Data Analysis
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    Chapter 13 DataAutism: An Early Detection Framework of Autism in Infants using Data Science
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    Chapter 14 AnaBus: A Proposed Sampling Retrieval Model for Business and Historical Data Analytics
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    Chapter 15 Abrupt Scene Change Detection Using Block Based Local Directional Pattern
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    Chapter 16 A Framework for Web Archiving and Guaranteed Retrieval
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    Chapter 17 Business Intelligence Through Big Data Analytics, Data Mining and Machine Learning
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    Chapter 18 The Effect of Big Data on the Quality of Decision-Making in Abu Dhabi Government Organisations
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    Chapter 19 The Impact of Technology Readiness on the Big Data Adoption Among UAE Organisations
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    Chapter 20 Sports Data Analytics: A Case Study of off-Field Behavior of Players
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    Chapter 21 Phrase Based Information Retrieval Analysis in Various Search Engines Using Machine Learning Algorithms
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    Chapter 22 The Politics of Artificial Intelligence Behaviour and Human Rights Violation Issues in the 2016 US Presidential Elections: An Appraisal
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    Chapter 23 Crop Prediction Using Artificial Neural Network and Support Vector Machine
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    Chapter 24 A Hybrid and Adaptive Approach for Classification of Indian Stock Market-Related Tweets
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    Chapter 25 Generative Adversarial Networks as an Advancement in 2D to 3D Reconstruction Techniques
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    Chapter 26 Impact of Artificial Intelligence on Human Resources
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    Chapter 27 Role of Activation Functions and Order of Input Sequences in Question Answering
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    Chapter 28 GestTalk—Real-Time Gesture to Speech Conversion Glove
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    Chapter 29 Deep Learning Algorithms for Accurate Prediction of Image Description for E-commerce Industry
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    Chapter 30 Taj-Shanvi Framework for Image Fusion Using Guided Filters
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    Chapter 31 Effective Classification and Handling of Incoming Data Packets in Mobile Ad Hoc Networks (MANETs) Using Random Forest Ensemble Technique (RF/ET)
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    Chapter 32 Community Structure Identification in Social Networks Inspired by Parliamentary Political Competitions
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    Chapter 33 An Integrated Technique to Ensure Confidentiality and Integrity in Data Transmission Through the Strongest and Authentic Hotspot Selection Mechanism
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    Chapter 34 Model to Improve Quality of Service in Wireless Sensor Network
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    Chapter 35 Performance Analysis of the Mobile WSN for Efficient Localization
Overall attention for this book and its chapters
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Data Management, Analytics and Innovation
Published by
Springer Singapore, January 2020
DOI 10.1007/978-981-13-9364-8
978-9-81-139363-1, 978-9-81-139364-8

Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas

Twitter Demographics

The data shown below were collected from the profiles of 2 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 36%
Student > Ph. D. Student 3 27%
Lecturer > Senior Lecturer 1 9%
Lecturer 1 9%
Researcher 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Engineering 4 36%
Computer Science 2 18%
Linguistics 1 9%
Economics, Econometrics and Finance 1 9%
Earth and Planetary Sciences 1 9%
Other 1 9%
Unknown 1 9%