DATA MINING CONCEPTS TECHNIQUES HAN KAMBER EBOOK

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Data Mining: Concepts and Techniques, 3rd Edition. Jiawei Han, Micheline Kamber, Jian Pei. Database Modeling and Design: Logical Design, 5th Edition. download Data Mining: Concepts and Techniques - 3rd Edition. Print Book Authors: Jiawei Han Micheline Kamber Jian Pei eBook ISBN: Preview; download multiple copies; Give this ebook to a friend · Add to my wishlist · More books Data Mining: Concepts and Techniques provides the concepts and in Data Management Systems; Author: Jiawei Han; Jian Pei; Micheline Kamber .


Data Mining Concepts Techniques Han Kamber Ebook

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Jiawei Han and Micheline Kamber. Data Mining: Concepts and Techniques,. The Morgan Kaufmann Series in Data Management Systems, Jim Gray, Series. Editorial Reviews. seostinicousma.cf Review. The increasing volume of data in modern business and Techniques (The Morgan Kaufmann Series in Data Management Systems) eBook: Jiawei Han, Jian Pei, Micheline Kamber: site Store. Data Mining: Concepts and Techniques. Home · Data Mining: Concepts and Techniques Author: Jiawei Han | Micheline Kamber.

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The bookIt also comprehensively covers OLAP and outlier detection, and examines mining networks, complex data types, and important application areas. The book, with its companion website, would make a great textbook for analytics, data mining, and knowledge discovery courses. Overall, it is an excellent book on classic and modern data mining methods alike, and it is ideal not only for teaching, but as a reference book. It adds cited material from about , a new section on visualization, and pattern mining with the more recent cluster methods.

Data Mining: Concepts and Techniques

Though it serves as a data mining text, readers with little experience in the area will find it readable and enlightening. Also, researchers and analysts from other disciplines--for example, epidemiologists, financial analysts, and psychometric researchers--may find the material very useful. Students should have some background in statistics, database systems, and machine learning and some experience programming.

Among the topics are getting to know the data, data warehousing and online analytical processing, data cube technology, cluster analysis, detecting outliers, and trends and research frontiers.

Chapter-end exercises are included. A broad range of topics are covered, from an initial overview of the field of data mining and its fundamental concepts, to data preparation, data warehousing, OLAP, pattern discovery and data classification.

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Data Mining: Concepts and Techniques (3rd ed.)

Would you also like to submit a review for this item? You already recently rated this item. Your rating has been recorded. Write a review Rate this item: Preview this item Preview this item. Data mining: Elsevier Science, Morgan Kaufmann series in data management systems. The increasing volume of data in modern business and science calls for more complex and sophisticated tools.

Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge.

Since the previous edition's publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understandin. Read more Show all links. Allow this favorite library to be seen by others Keep this favorite library private. Find a copy in the library Finding libraries that hold this item Electronic books Additional Physical Format: Print version: Han, Jiawei.

Data Mining: Concepts and Techniques. Document, Internet resource Document Type: Equips you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets.

This title focuses on important topics in the field: Reviews Editorial reviews.

Publisher Synopsis "A well-written textbook 2nd ed. User-contributed reviews Add a review and share your thoughts with other readers.

Be the first. Add a review and share your thoughts with other readers. Similar Items Related Subjects: Computer-assisted instruction Data mining -- Handbooks, manuals, etc. Computer science Electronic books User lists with this item 1 ahmed 10 items by ahmedmahmood updated Linked Data More info about Linked Data.

Primary Entity http: Book , schema: MediaObject , schema: Introduction; Chapter 2. Getting to Know Your Data; Chapter 3. Data Preprocessing; Chapter 4.

Data Cube Technology; Chapter 6. Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods; Chapter 7. Advanced Pattern Mining; Chapter 8. Basic Concepts; Chapter 9.

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Data Mining: Concepts and Techniques,

Thanks in advance for your time. Data Mining on Multimedia Data. It adds cited material from about , a new section on visualization, and pattern mining with the more recent cluster methods.

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Among the topics are getting to know the data, data warehousing and online analytical processing, data cube technology, cluster analysis, detecting outliers, and trends and research frontiers.

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