
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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100 | |aHan, Jiawei |
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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." |
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653 | |aData mining. |
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653 | |aCOMPUTERS -- Data Mining. |
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653 | |aCOMPUTERS -- Database Management -- Data Mining. |
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690 | |aKhoa Quản trị Kinh doanh |
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691 | |aCông nghệ thông tin |
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691 | |aCông nghệ thông tin - ThS |
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691 | |aThương mại điện tử |
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700 | |aKamber, Micheline |
---|
700 | |aPei, Jian |
---|
852 | |aThư Viện Đại học Nguyễn Tất Thành |
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