Table Of ContentArtificial Intelligence
in Data Mining
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Artificial Intelligence in Data Mining : Theories and Applications, edited by D. Binu, and B. R. Rajakumar, Elsevier Science & Technology, 2021. ProQuest Ebook
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Artificial Intelligence in Data Mining : Theories and Applications, edited by D. Binu, and B. R. Rajakumar, Elsevier Science & Technology, 2021. ProQuest Ebook
Artificial Intelligence
in Data Mining
Theories and Applications
Edited by
D. Binu
Managing Director and cofounder, Resbee Info Technologies Pvt. Ltd, India
B. R. Rajakumar
Director and cofounder, Resbee Info Technologies Pvt. Ltd, India
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Artificial Intelligence in Data Mining : Theories and Applications, edited by D. Binu, and B. R. Rajakumar, Elsevier Science & Technology, 2021. ProQuest Ebook
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Artificial Intelligence in Data Mining : Theories and Applications, edited by D. Binu, and B. R. Rajakumar, Elsevier Science & Technology, 2021. ProQuest Ebook
Contents
List of contributors ix
Preface xi
1. Introduction 1
D.BINUANDB.R.RAJAKUMAR
1.1 Data mining 1
1.2 Description of data mining 2
1.3 Tools in data mining 5
1.4 Data mining terminologies 5
1.5 Merits of data mining 6
1.6 Disadvantages of data mining 7
1.7 Process of data mining 8
1.8 Data mining techniques 10
1.9 Data mining applications 12
.de 1.10 Intelligent techniques of data mining 15
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Artificial Intelligence in Data Mining : Theories and Applications, edited by D. Binu, and B. R. Rajakumar, Elsevier Science & Technology, 2021. ProQuest Ebook
vi Contents
2.4 Association rule mining: multiobjective optimization
method 31
2.5 Intelligent methods for associate rule mining 31
2.6 Associate rule mining using genetic algorithm 33
2.7 Association rule mining using particle swarm optimization 34
2.8 Bees swarm optimizationÀassociation rule mining
algorithm 35
2.9 Ant colony optimization algorithm 35
2.10 Penguins search optimization algorithm for association
rules mining Pe-ARM 36
2.11 Deep learning in data mining 37
References 39
3. Unsupervised learning methods for data clustering 41
SATISHCHANDERANDP.VIJAYA
3.1 Data clustering 41
3.2 Mode seeking and mixture-resolving algorithms 55
3.3 Conclusion 64
4. Heuristic methods for data clustering 65
RAJASEKHARBUTTA,M.KAMARAJUANDV.SUMALATHA
4.1 What is the heuristic method? 65
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Artificial Intelligence in Data Mining : Theories and Applications, edited by D. Binu, and B. R. Rajakumar, Elsevier Science & Technology, 2021. ProQuest Ebook
Contents vii
6. Neural networks for data classification 109
BALACHANDRAKUMARASWAMY
6.1 Neural networks 109
6.2 Different types of neural networks 113
6.3 Training of neural network 127
6.4 Training algorithms in neural network for data classification 128
References 131
7. Application of artificial intelligence in the perspective
of data mining 133
D.MENAGAANDS.SARAVANAN
7.1 Artificial intelligence 133
7.2 Artificial intelligence versus data mining 138
7.3 Modeling theory based on artificial intelligence and data
mining 139
References 154
8. Biomedical data mining for improved
clinical diagnosis 155
G.NALINIPRIYA,M.GEETHA,R.CRISTINANDBALAJEEMARAM
8.1 Introduction 155
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Artificial Intelligence in Data Mining : Theories and Applications, edited by D. Binu, and B. R. Rajakumar, Elsevier Science & Technology, 2021. ProQuest Ebook
viii Contents
9. Satellite data: big data extraction and analysis 177
RAHULKOTAWADEKAR
9.1 Remote-sensing data: properties and analysis 177
9.2 Summary 197
References 197
10. Advancement of data mining methods for
improvement of agricultural methods and productivity 199
ANUSHPRABHAKARAN,CHITHRALEKSHMIK.S.AND
GANESHJANARTHANAN
10.1 Agriculture data: properties and analysis 199
10.2 Disease prediction using data mining 214
10.3 Pests monitoring using data mining 217
10.4 Summary 220
References 220
11. Advanced data mining for defense and
security applications 223
PRAMODPANDURANGJADHAV
11.1 Military data: properties and analysis 223
11.2 Applying data mining for military application 229
References 241
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Artificial Intelligence in Data Mining : Theories and Applications, edited by D. Binu, and B. R. Rajakumar, Elsevier Science & Technology, 2021. ProQuest Ebook
List of contributors
D. Binu Resbee Info Technologies, India
Rajasekhar Butta ECE Department, Gudlavalleru Engineering College,
Gudlalvalleru, India
Satish Chander Department of Computer Science & Engineering, Birla
Institute of Technology, Mesra, Ranchi, India
R. Cristin Department of CSE, GMR Institute of Technology, Rajam, Andhra
Pradesh, India
M. Geetha SRM Institute of Science and Technology, Vadapalani Campus,
Chennai, India
Pramod Pandurang Jadhav Department of Computer Engineering, G H
Raisoni Institute of Engineering and Technology (GHRIET), Pune, India
Ganesh Janarthanan L&T Technology Services Ltd, Bangalore, India
N. Jayalakshmi Raghu Institute of Technology, Visakhapatnam, India
M. Kamaraju ECE Department, Gudlavalleru Engineering College,
Gudlalvalleru, India
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se Academy of Management and Technology, University of Mumbai, Ratnagiri,
r sth India
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iveslE Sridevi Mantha Big Data Analytics, Quadratyx, Hyderabad, Telangana, India
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02 © Balajee Maram Department of CSE, GMR Institute of Technology, Rajam,
th Andhra Pradesh, India
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Artificial Intelligence in Data Mining : Theories and Applications, edited by D. Binu, and B. R. Rajakumar, Elsevier Science & Technology, 2021. ProQuest Ebook
