Data mining concepts and techniques han jiawei kamber micheline pei jian. Data mining : concepts and techniques (eBook, 2012) [cleanpowerfinance.com] 2019-01-26

Data mining concepts and techniques han jiawei kamber micheline pei jian Rating: 8,2/10 996 reviews

Han and Kamber: Data Mining

data mining concepts and techniques han jiawei kamber micheline pei jian

Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. Like the first and second editions, Data Mining: Concepts and Techniques, 3rd Edition equips professionals with a sound understanding of data mining principles and teaches proven methods for knowledge discovery in large corporate databases. The structure, along with the didactic presentation, makes the book suitable for both beginners and specialized readers. 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. Though it serves as a data mining text, readers with little experience in the area will find it readable and enlightening.

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Data Mining: Concepts and Techniques (3rd ed.) by Jiawei Han (ebook)

data mining concepts and techniques han jiawei kamber micheline pei jian

Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. Some chapters cover basic methods, and others focus on advanced techniques. The final chapter describes the current state of data mining research and active research areas. It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. 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.

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Buy The Morgan Kaufmann Series in Data Management Systems: Data Mining : Concepts and Techniques by Micheline Kamber, Jian Pei and Jiawei Han (2011, Hardcover) online

data mining concepts and techniques han jiawei kamber micheline pei jian

The structure, along with the didactic presentation, makes the book suitable for both beginners and specialized readers. 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. Abstract: Equips you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets. This was the first and is still the best and most popular of its kind. Also, researchers and analysts from other disciplines--for example, epidemiologists, financial analysts, and psychometric researchers--may find the material very useful. This was the first and is still the best and most popular of its kind. A comprehensive and practical look at the concepts and techniques you need in the area of data mining and knowledge discovery.

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Han and Kamber: Data Mining

data mining concepts and techniques han jiawei kamber micheline pei jian

Revisions incorporate input from instructors, changes in the field, and new and important topics such as data warehouse and data cube technology, mining stream data, mining social networks, and mining spatial, multimedia and other complex data. The book, with its companion website, would make a great textbook for analytics, data mining, and knowledge discovery courses. Also, researchers and analysts from other disciplines--for example, epidemiologists, financial analysts, and psychometric researchers--may find the material very useful. The Data Mining: Concepts and Techniques shows us how to find useful knowledge in all that data. It''s a well-written text, with all of the supporting materials an instructor is likely to want, including Web material support, extensive problem sets, and solution manuals. .

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Data Mining: Concepts and Techniques — University of Illinois at Urbana

data mining concepts and techniques han jiawei kamber micheline pei jian

Revisions incorporate input from instructors, changes in the field, and new and important topics such as data warehouse and data cube technology, mining stream data, mining social networks, and mining spatial, multimedia and other complex data. Like the first and second editions, Data Mining: Concepts and Techniques, 3rd Edition equips professionals with a sound understanding of data mining principles and teaches proven methods for knowledge discovery in large corporate databases. He is a well-known leading researcher in the general areas of data science, big data, data mining, and database systems. He is also an associate member of the Department of Statistics and Actuarial Science. Wherever possible, the authors raise and answer questions of utility, feasibility, optimization, and scalability.

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Data Mining: Concepts and Techniques — University of Illinois at Urbana

data mining concepts and techniques han jiawei kamber micheline pei jian

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. The book details the methods for data classification and introduces the concepts and methods for data clustering. Thise 3rd editionThird Edition significantly expands the core chapters on data preprocessing, frequent pattern mining, classification, and clustering. 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. Students should have some background in statistics, database systems, and machine learning and some experience programming.

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Han and Kamber: Data Mining

data mining concepts and techniques han jiawei kamber micheline pei jian

The Data Mining: Concepts and Techniques shows us how to find useful knowledge in all that data. It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. Combines sound theory with truly practical applications to prepare students for real-world challenges in data mining. This title focuses on important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. The first and second editions also established itself as the market leader for courses in data mining, data analytics, and knowledge discovery. Wherever possible, the authors raise and answer questions of utility, feasibility, optimization, and scalability.

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Data mining : concepts and techniques (eBook, 2012) [cleanpowerfinance.com]

data mining concepts and techniques han jiawei kamber micheline pei jian

Combines sound theory with truly practical applications to prepare students for real-world challenges in data mining. A comprehensive and practical look at the concepts and techniques you need in the area of data mining and knowledge discovery. The text is supported by a strong outline. It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. The authors preserve much of the introductory material, but add the latest techniques and developments in data mining, thus making this a comprehensive resource for both beginners and practitioners.

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