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Knowledge Computing and its Applications

Overview of attention for book
Cover of 'Knowledge Computing and its Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Implementation of Connected Dominating Set in Fog Computing Using Knowledge-Upgraded IoT Devices
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    Chapter 2 Developing Security Intelligence in Big Data
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    Chapter 3 Methods to Investigate Concept Drift in Big Data Streams
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    Chapter 4 Semantic Interpretation of Tweets: A Contextual Knowledge-Based Approach for Tweet Analysis
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    Chapter 5 Workload Assessment for a Sustainable Manufacturing Paradigm Using Social Network Analysis Method
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    Chapter 6 Virtual Data Warehouse Model Employing Crypto–Math Modus Operandi and Intelligent Sensor Algorithm for Cosseted Transference and Output Augmentation
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    Chapter 7 Framework for Geospatial Query Processing by Integrating Cassandra with Hadoop
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    Chapter 8 Knowledge Computational Intelligence in Network Intrusion Detection Systems
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    Chapter 9 Efficacy of Knowledge Mining and Machine Learning Techniques in Healthcare Industry
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    Chapter 10 Cryptanalysis of Protocol for Enhanced Threshold Proxy Signature Scheme Based on Elliptic Curve Cryptography for Known Signers
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    Chapter 11 Partial Fractional Derivative (PFD) based Texture Analysis Model for Medical Image Segmentation
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    Chapter 12 Breast Cancer Classification Using Deep Neural Networks
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    Chapter 13 Sense Disambiguation of English Simple Prepositions in the Context of English–Hindi Machine Translation System
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    Chapter 14 User Interface Design Recommendations Through Multi-Criteria Decision Analysis
Attention for Chapter 3: Methods to Investigate Concept Drift in Big Data Streams
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Citations

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Readers on

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24 Mendeley
Summary Dimensions citations
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Chapter title
Methods to Investigate Concept Drift in Big Data Streams
Chapter number 3
Book title
Knowledge Computing and Its Applications
Published by
Springer, Singapore, January 2018
DOI 10.1007/978-981-10-6680-1_3
Book ISBNs
978-9-81-106679-5, 978-9-81-106680-1
Authors

Nidhi, Veenu Mangat, Vishal Gupta, Renu Vig

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 25%
Student > Ph. D. Student 5 21%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Professor 2 8%
Other 2 8%
Unknown 5 21%
Readers by discipline Count As %
Computer Science 15 63%
Engineering 1 4%
Unknown 8 33%

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