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ISBN 9780123814791
DDC 005.741
Tác giả CN Han, Jiawei
Nhan đề Data mining : concepts and techniques / Jiawei Han; Micheline Kamber; Jian Pei
Lần xuất bản 3th ed.
Thông tin xuất bản Amsterdam ; Boston : Elsevier/Morgan Kaufmann, 2012
Mô tả vật lý 740 p. : illustrations
Tùng thư Morgan Kaufmann series in data management systems.
Tóm tắt Not only does the third of 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 today's most powerful data mining techniques to meet real business challenges. * Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. *Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data."
Từ khóa tự do Data mining.
Từ khóa tự do COMPUTERS -- Data Mining.
Từ khóa tự do COMPUTERS -- Database Management -- Data Mining.
Khoa Khoa Công nghệ Thông tin
Khoa Khoa Quản trị Kinh doanh
Tác giả(bs) CN Kamber, Micheline
Tác giả(bs) CN Pei, Jian
Địa chỉ Thư Viện Đại học Nguyễn Tất Thành
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040 |aNTT
041 |aeng
044 |ane
082 |a005.741|bH2331|223
100 |aHan, Jiawei
245 |aData mining : |bconcepts and techniques / |cJiawei Han; Micheline Kamber; Jian Pei
250 |a3th ed.
260 |aAmsterdam ; Boston : |bElsevier/Morgan Kaufmann, |c2012
300 |a740 p. : |billustrations
490 |aMorgan Kaufmann series in data management systems.
504 |aIncludes bibliographical references (pages 670-708) and index.
520 |aNot only does the third of 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 today's most powerful data mining techniques to meet real business challenges. * Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. *Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data."
541 |aKhoa CNTT tặng
653 |aData mining.
653 |aCOMPUTERS -- Data Mining.
653 |aCOMPUTERS -- Database Management -- Data Mining.
690 |aKhoa Công nghệ Thông tin
690|aKhoa Quản trị Kinh doanh
691|aCông nghệ thông tin
691|aCông nghệ thông tin - ThS
691|aThương mại điện tử
700 |aKamber, Micheline
700 |aPei, Jian
852 |aThư Viện Đại học Nguyễn Tất Thành
8561|uhttp://elib.ntt.edu.vn/documentdata01/2 tailieuthamkhao/000 tinhocthongtin/anhbiasach/25738_dataminingconceptsandtechniques3rdedition_kthumbimage.jpg
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