data mining techniques and applications hongbo du pdf

Data mining techniques and applications hongbo du pdf

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data mining techniques and applications, 1 st edition hongbo du isbn 978-1-84480-891-5 © 2010...

Data Mining Lecture Notes Pdf September 2019

Data Mining Techniques and Applications

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data mining techniques and applications, 1 st edition hongbo du isbn 978-1-84480-891-5 © 2010...

Refer book. Order inspection copy. Aimed primarily at undergraduate readers, it presents not only the fundamental principles and concepts of the subject in an easy-to-understand way, but also hands on, practical instruction on data mining techniques, that readers can put into practice as they go along using the freely downloadable Weka toolkit.

Covering not only traditional areas of data mining such as association, clustering and classification, this text also explains topics such as data warehousing, online-analytic processing, and text mining.

Introduction 2. Principles of Data Mining 3. Data, Data Pre-processing and Data Exploration 4. Basic Techniques for Cluster Detection 5. Advanced Techniques for Cluster Detection 6. Decision Tree Induction Techniques for Classification 7.

Other Techniques for Classification 8. Techniques for Boolean Association Rule Discovery 9. Techniques for Other Types of Association Rules Data Mining in Practice.

He has been teaching data mining to undergraduate students and taught master students since He also designed and taught a similar course at City University London between and , and more recently at Sarajevo School of Science and Technology. Author of a number of publications in the field, he has been involved with commercial data mining projects. He is also a visiting senior lecturer at Sarajevo School of Science and Technology. Annual Return MGT Author s : Hongbo Du. Price: Overview Features Table of Contents About the Author 'This concise and approachable introduction to data mining s a mixture of data mining techniques originating from statistics, machine learning and databases, and presents them in an algorithmic approach.

Theory of Computation. Data Mining and Warehousing. Information Systems. Computer Graphics with OpenGL. Expert SystemsPrinciples and Programming. Computer Organisation and Advanced Microprocessors. Your Friend's Information.

Data Mining Lecture Notes Pdf September 2019

Embed Size px x x x x Forming a hypothesis statement 2. Collecting and selecting data of relevance 3. Conducting data analysis and collecting patterns 4. Collecting and preparing data of interest 2. Conducting data analysis and discovering possible patterns 3.

Please Read Notes: Brand New, International Softcover Edition, Printed in black and white pages, minor self wear on the cover or pages, Sale restriction may be printed on the book, but Book name, contents, and author are exactly same as Hardcover Edition. Convert currency. Add to Basket. Book Description Cengage India, Soft cover.

Data Mining Techniques and Applications

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Refer book. Order inspection copy. Aimed primarily at undergraduate readers, it presents not only the fundamental principles and concepts of the subject in an easy-to-understand way, but also hands on, practical instruction on data mining techniques, that readers can put into practice as they go along using the freely downloadable Weka toolkit.

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  • Kian L. 28.05.2021 at 03:36

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  • Archard R. 04.06.2021 at 11:06

    Download Data Mining Techniques and Applications an Introduction free book PDF Author: Hongbo Du Pages: ISBN: Format: Epub, PDF.

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