Data mining: Concepts and Techniques/ by Jiawei Han, Micheline Kamber, Jian Pei

By:

Han,Jiawei

Contributor(s):

Material type: Text

TextPublication details: ELSEVIER, 2014.Edition: 3rd edDescription: 703 pISBN:

9789380931913

Subject(s):

Data mining--computer science

DDC classification:

001.535 HAN

Other classification:

Summary: 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, its 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 editions publication, great advances have been made in the field of data mining. Not only does this Third Edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology; mining stream; mining social networks; and mining spatial, multimedia and other complex data. 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. This is the resource you need if you want to apply todays most powerful data mining techniques. | 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, its 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 editions publication, great advances have been made in the field of data mining. Not only does this Third Edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology; mining stream; mining social networks; and mining spatial, multimedia and other complex data. 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. This is the resource you need if you want to apply todays most powerful data mining techniques.

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Holdings
Item type	Current library	Home library	Collection	Call number	Status	Date due	Barcode
Book	Dept. of Futures Studies Processing Center	Dept. of Futures Studies	Wind Forecasting	001.535 HAN (Browse shelf(Opens below))	Available		DFSWF39

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, its 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 editions publication, great advances have been made in the field of data mining. Not only does this Third Edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology; mining stream; mining social networks; and mining spatial, multimedia and other complex data. 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. This is the resource you need if you want to apply todays most powerful data mining techniques.
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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, its 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 editions publication, great advances have been made in the field of data mining. Not only does this Third Edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology; mining stream; mining social networks; and mining spatial, multimedia and other complex data. 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. This is the resource you need if you want to apply todays most powerful data mining techniques.

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