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Data Mining And Warehousing Techniques With Machine Learning Concepts - Hardcover

 
9789819803125: Data Mining And Warehousing Techniques With Machine Learning Concepts

Synopsis

This unique compendium elaborates the basic perceptions of data warehouses and data mining. The former part of the book covers concepts like introduction to data warehouses, the need for using such data warehouses and key terminologies used in this framework. The latter part of the book covers the data mining concepts and the data mining techniques used in various applications and also explains the machine learning techniques in detail with suitable examples wherever essential. The book is written in simple English and is user-friendly. Each chapter is modeled with several sample scenarios and illustrations wherever necessary. The complete contents of each chapter include chapter technical content, summary, key points to remember, and few case studies for class group discussions and problem-solving. This volume clearly benefits professionals, academicians, data analysts, machine-learning community, undergraduate and postgraduate students.

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About the Authors

Pandi Vijayakumar received the BE degree in Computer Science and Engineering from Madurai Kamaraj University, Madurai, India, in 2002, the ME degree in Computer Science and Engineering from the Karunya Institute of Technology, Coimbatore, India, in 2005, and the PhD degree in Computer Science and Engineering from Anna University, Chennai, India, in 2013. He is the former Dean and currently an Assistant Professor with the Department of Computer Science and Engineering, University College of Engineering Tindivanam, Melpakkam, India, which is a constituent college of Anna University Chennai, India. He has seventeen years of teaching experience and he has produced four PhD candidates successfully. He has also authored and co-authored more than 100 quality papers in various IEEE transactions/journals, ACM transactions, Elsevier, IET, Springer, Wiley and IGI Global journals. He is serving as Associate Editor in many SCI indexed journals namely IEEE Transactions on Intelligent Transportation Systems (T-ITS), International Journal of Communication Systems(Wiley), PLOS One, International Journal of Semantic Web and Information Systems (IGI Global), and Security and Communication Networks (Wiley|Hindawi). Moreover, He is serving as an Academic Editor in the International Journal of Organizational and Collective Intelligence (IGI Global), International Journal of Software Science and Computational Intelligence (IGI Global), International Journal of Cloud Applications and Computing (IGI Global), International Journal of Digital Strategy, Governance, and Business Transformation (IGI Global) and Security and Privacy (Wiley). He is also serving as a Technical Committee member in the journal Computer Communications (Elsevier). Recently, He was elevated to Editor-in-Chief Position in the journal Cyber Security and Applications (KeAi|Elsevier). Till now he has authored four books for various subjects that belong to the Department of Computer Science and Engineering. He is a senior member of IEEE. He is also listed in the world's Top 2% Scientists for citation impact during the calendar years 2020 and 2021 by Stanford University.

Dr Lazarus Jegatha Deborah completed her PhD in Computer Science and Engineering at Anna University Chennai in the year 2013 and completed her Master of Engineering in the field of Computer Science and Engineering in Karunya Institute of Technology in the year 2005. She completed her Bachelor of Engineering at Madurai Kamarajar University, Madurai, in the year 2002. She is presently working as an Assistant Professor at Anna University Chennai (University College of Engineering, Tindivanam), Chennai, India. She is also acting as Head (in charge) of the CSE Department at University College of Engineering, Tindivanam since 2008. She has more than 17 years of professional experience. She has published many quality papers in reputed journals. She had visited few countries like the United States of America and Malaysia to present her research works in reputed conferences. She had also visited China to deliver a guest lecture to the research students working in Artificial Intelligence in the School of Cyber Engineering, Xidian University, Xidian, China. She is a member of IEEE and also a life member of ISTE. She is a doctoral committee member for many research scholars in various universities like VIT, Sathyabama University. Her key areas of interest include Machine Learning, Natural Language Processing, Cognitive computing, and Artificial Intelligence techniques. She had been acting as the Guest Editor during the past years for special issues in various reputed journals like Elsevier, The Online Journal of Distance Education and E-Learning, International Journal of Internet Technology and Secured Transactions, Springer: Information Systems Frontier, Wiley: Security and Communication Networks. She is currently working on developing Intelligent and smart Systems using deep learning architectures based on psychological perspectives for e-learning and many important applications.

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Hardcover. Condition: new. Hardcover. This unique compendium elaborates the basic perceptions of data warehouses and data mining. The former part of the book covers concepts like introduction to data warehouses, the need for using such data warehouses and key terminologies used in this framework. The latter part of the book covers the data mining concepts and the data mining techniques used in various applications and also explains the machine learning techniques in detail with suitable examples wherever essential.The book is written in simple English and is user-friendly. Each chapter is modeled with several sample scenarios and illustrations wherever necessary. The complete contents of each chapter include chapter technical content, summary, key points to remember, and few case studies for class group discussions and problem-solving.This volume clearly benefits professionals, academicians, data analysts, machine-learning community, undergraduate and postgraduate students. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9789819803125

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Hardcover. Condition: new. Hardcover. This unique compendium elaborates the basic perceptions of data warehouses and data mining. The former part of the book covers concepts like introduction to data warehouses, the need for using such data warehouses and key terminologies used in this framework. The latter part of the book covers the data mining concepts and the data mining techniques used in various applications and also explains the machine learning techniques in detail with suitable examples wherever essential.The book is written in simple English and is user-friendly. Each chapter is modeled with several sample scenarios and illustrations wherever necessary. The complete contents of each chapter include chapter technical content, summary, key points to remember, and few case studies for class group discussions and problem-solving.This volume clearly benefits professionals, academicians, data analysts, machine-learning community, undergraduate and postgraduate students. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9789819803125

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Hardcover. Condition: new. Hardcover. This unique compendium elaborates the basic perceptions of data warehouses and data mining. The former part of the book covers concepts like introduction to data warehouses, the need for using such data warehouses and key terminologies used in this framework. The latter part of the book covers the data mining concepts and the data mining techniques used in various applications and also explains the machine learning techniques in detail with suitable examples wherever essential.The book is written in simple English and is user-friendly. Each chapter is modeled with several sample scenarios and illustrations wherever necessary. The complete contents of each chapter include chapter technical content, summary, key points to remember, and few case studies for class group discussions and problem-solving.This volume clearly benefits professionals, academicians, data analysts, machine-learning community, undergraduate and postgraduate students. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9789819803125

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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This unique compendium elaborates the basic perceptions of data warehouses and data mining. The former part of the book covers concepts like introduction to data warehouses, the need for using such data warehouses and key terminologies used in this framework. The latter part of the book covers the data mining concepts and the data mining techniques used in various applications and also explains the machine learning techniques in detail with suitable examples wherever essential.The book is written in simple English and is user-friendly. Each chapter is modeled with several sample scenarios and illustrations wherever necessary. The complete contents of each chapter include chapter technical content, summary, key points to remember, and few case studies for class group discussions and problem-solving.This volume clearly benefits professionals, academicians, data analysts, machine-learning community, undergraduate and postgraduate students. Seller Inventory # 9789819803125

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