Introduction To Data Mining Pearson New International Edition Pdf Ebook
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Introduction To Data Mining Pearson New International Edition Pdf Ebook
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Author : Pang-Ning Tan
language : en
Publisher: Pearson Higher Ed
Release Date : 2013-08-29
Introduction To Data Mining Pearson New International Edition Pdf Ebook written by Pang-Ning Tan and has been published by Pearson Higher Ed this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-29 with Computers categories.
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms. Quotes This book provides a comprehensive coverage of important data mining techniques. Numerous examples are provided to lucidly illustrate the key concepts. -Sanjay Ranka, University of Florida In my opinion this is currently the best data mining text book on the market. I like the comprehensive coverage which spans all major data mining techniques including classification, clustering, and pattern mining (association rules). -Mohammed Zaki, Rensselaer Polytechnic Institute
Introduction To Data Mining
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Author : Pang-Ning Tan
language : en
Publisher: Pearson Education India
Release Date : 2016
Introduction To Data Mining written by Pang-Ning Tan and has been published by Pearson Education India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. Each major topic is organized into two chapters, beginni
Introduction To Data Mining Ebook Global Edition
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Author : Pang-Ning Tan
language : en
Publisher: Pearson Higher Ed
Release Date : 2019-03-04
Introduction To Data Mining Ebook Global Edition written by Pang-Ning Tan and has been published by Pearson Higher Ed this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-04 with Computers categories.
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organised into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Introduction To Data Mining
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Author : Pang-Ning Tan
language : en
Publisher: Pearson Education India
Release Date :
Introduction To Data Mining written by Pang-Ning Tan and has been published by Pearson Education India this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Introduction To Data Mining With Case Studies
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Author : GUPTA, G.K.
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2014-06-28
Introduction To Data Mining With Case Studies written by GUPTA, G.K. and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.
The field of data mining provides techniques for automated discovery of valuable information from the accumulated data of computerized operations of enterprises. This book offers a clear and comprehensive introduction to both data mining theory and practice. It is written primarily as a textbook for the students of computer science, management, computer applications, and information technology. The book ensures that the students learn the major data mining techniques even if they do not have a strong mathematical background. The techniques include data pre-processing, association rule mining, supervised classification, cluster analysis, web data mining, search engine query mining, data warehousing and OLAP. To enhance the understanding of the concepts introduced, and to show how the techniques described in the book are used in practice, each chapter is followed by one or two case studies that have been published in scholarly journals. Most case studies deal with real business problems (for example, marketing, e-commerce, CRM). Studying the case studies provides the reader with a greater insight into the data mining techniques. The book also provides many examples, review questions, multiple choice questions, chapter-end exercises and a good list of references and Web resources especially those which are easy to understand and useful for students. A number of class projects have also been included.
Introduction To Electronic Commerce And Social Commerce
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Author : Efraim Turban
language : en
Publisher: Springer
Release Date : 2017-04-23
Introduction To Electronic Commerce And Social Commerce written by Efraim Turban and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-23 with Business & Economics categories.
This is a complete update of the best-selling undergraduate textbook on Electronic Commerce (EC). New to this 4th Edition is the addition of material on Social Commerce (two chapters); a new tutorial on the major EC support technologies, including cloud computing, RFID, and EDI; ten new learning outcomes; and video exercises added to most chapters. Wherever appropriate, material on Social Commerce has been added to existing chapters. Supplementary material includes an Instructor’s Manual; Test Bank questions for each chapter; Powerpoint Lecture Notes; and a Companion Website that includes EC support technologies as well as online files. The book is organized into 12 chapters grouped into 6 parts. Part 1 is an Introduction to E-Commerce and E-Marketplaces. Part 2 focuses on EC Applications, while Part 3 looks at Emerging EC Platforms, with two new chapters on Social Commerce and Enterprise Social Networks. Part 4 examines EC Support Services, and Part 5 looks at E-Commerce Strategy and Implementation. Part 6 is a collection of online tutorials on Launching Online Businesses and EC Projects, with tutorials focusing on e-CRM; EC Technology; Business Intelligence, including Data-, Text-, and Web Mining; E-Collaboration; and Competition in Cyberspace. the following="" tutorials="" are="" not="" related="" to="" any="" specific="" chapter.="" they="" cover="" the="" essentials="" ec="" technologies="" and="" provide="" a="" guide="" relevant="" resources.="" p
Data Mining Applications For Empowering Knowledge Societies
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Author : Rahman, Hakikur
language : en
Publisher: IGI Global
Release Date : 2008-07-31
Data Mining Applications For Empowering Knowledge Societies written by Rahman, Hakikur and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-31 with Technology & Engineering categories.
Presents an overview of the main issues of data mining, including its classification, regression, clustering, and ethical issues. Provides readers with knowledge enhancing processes as well as a wide spectrum of data mining applications.
Validity Reliability And Significance
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Author : Stefan Riezler
language : en
Publisher: Springer Nature
Release Date : 2024-06-09
Validity Reliability And Significance written by Stefan Riezler and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-09 with Computers categories.
This book introduces empirical methods for machine learning with a special focus on applications in natural language processing (NLP) and data science. The authors present problems of validity, reliability, and significance and provide common solutions based on statistical methodology to solve them. The book focuses on model-based empirical methods where data annotations and model predictions are treated as training data for interpretable probabilistic models from the well-understood families of generalized additive models (GAMs) and linear mixed effects models (LMEMs). Based on the interpretable parameters of the trained GAMs or LMEMs, the book presents model-based statistical tests such as a validity test that allows for the detection of circular features that circumvent learning. Furthermore, the book discusses a reliability coefficient using variance decomposition based on random effect parameters of LMEMs. Lastly, a significance test based on the likelihood ratios of nested LMEMs trained on the performance scores of two machine learning models is shown to naturally allow the inclusion of variations in meta-parameter settings into hypothesis testing, and further facilitates a refined system comparison conditional on properties of input data. The book is self-contained with an appendix on the mathematical background of generalized additive models and linear mixed effects models as well as an accompanying webpage with the related R and Python code to replicate the presented experiments. The second edition also features a new hands-on chapter that illustrates how to use the included tools in practical applications.
Intelligent Data Engineering And Automated Learning Ideal 2023
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Author : Paulo Quaresma
language : en
Publisher: Springer Nature
Release Date : 2023-11-14
Intelligent Data Engineering And Automated Learning Ideal 2023 written by Paulo Quaresma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-14 with Computers categories.
This book constitutes the proceedings of the 24th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023, held in Évora, Portugal, during November 22–24, 2023. The 45 full papers and 4 short papers presented in this book were carefully reviewed and selected from 77 submissions. IDEAL 2023 is focusing on big data challenges, machine learning, deep learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models, agents and hybrid intelligent systems, and real-world applications of intelligence techniques and AI. The papers are organized in the following topical sections: main track; special session on federated learning and (pre) aggregation in machine learning; special session on intelligent techniques for real-world applications of renewable energy and green transport; and special session on data selection in machine learning.
Emerging Research In Cloud Distributed Computing Systems
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Author : Bagchi, Susmit
language : en
Publisher: IGI Global
Release Date : 2015-03-31
Emerging Research In Cloud Distributed Computing Systems written by Bagchi, Susmit and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-31 with Computers categories.
Traditional computing concepts are maturing into a new generation of cloud computing systems with wide-spread global applications. However, even as these systems continue to expand, they are accompanied by overall performance degradation and wasted resources. Emerging Research in Cloud Distributed Computing Systems covers the latest innovations in resource management, control and monitoring applications, and security of cloud technology. Compiling and analyzing current trends, technological concepts, and future directions of computing systems, this publication is a timely resource for practicing engineers, technologists, researchers, and advanced students interested in the domain of cloud computing.