Data mining: concepts and techniques second Edition(sách photo) /
1: The second edition of Han and Kamber Data Mining: Concepts and Techniques updates and improves the already comprehensive coverage of the first edition and adds coverage of new and important topics, such as mining stream data, mining social networks, and mining spatial, multi-media and other compl...
Đã lưu trong:
| Tác giả chính: | |
|---|---|
| Tác giả khác: | |
| Định dạng: | Sách |
| Ngôn ngữ: | Vietnamese |
| Được phát hành: |
U.S.A :
Elsevier Inc ,
2006
|
| Phiên bản: | In lần thứ 1 |
| Những chủ đề: | |
| Các nhãn: |
Thêm thẻ
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
|
| Thư viện lưu trữ: | Thư viện Trường CĐ Kỹ Thuật Cao Thắng |
|---|
| LEADER | 01663nam a2200229 a 4500 | ||
|---|---|---|---|
| 001 | TVCDKTCT10816 | ||
| 003 | Thư viện trường Cao đẳng Kỹ thuật Cao Thắng | ||
| 005 | 20090428000000 | ||
| 008 | 090428 | ||
| 980 | \ | \ | |a Thư viện Trường CĐ Kỹ Thuật Cao Thắng |
| 024 | |a RG_1 #1 eb0 i1 | ||
| 041 | 0 | # | |a vie |
| 082 | # | # | |a 005 / |b D100M-m |
| 100 | 1 | # | |a Micheline Kamber |
| 245 | 0 | 0 | |a Data mining: concepts and techniques second Edition(sách photo) / |c Micheline Kamber, Jiawei Han |
| 250 | # | # | |a In lần thứ 1 |
| 260 | # | # | |a U.S.A : |b Elsevier Inc , |c 2006 |
| 300 | # | # | |a 770tr. ; |c 28cm |
| 520 | # | # | |a 1: The second edition of Han and Kamber Data Mining: Concepts and Techniques updates and improves the already comprehensive coverage of the first edition and adds coverage of new and important topics, such as mining stream data, mining social networks, and mining spatial, multi-media and other complex data. This book will be an excellent textbook for courses on Data Mining and Knowledge Discovery.Gregory Piatetsky-Shapiro, President, KDnuggets. |
| 520 | # | # | |a -2: The second edition is the most complete and up-to-date presentation on this topic. Compared to the already comprehensive and thorough coverage of the first edition it adds the state-of-the-art research results in new topics such as mining stream, time-series and sequence data as well as mining spatial, multimedia, text and web data. This book is a "must have" for all instructors, researchers, developers and users in the area of data mining and knowledge discovery. -Hans-Peter Kriegel, University of Munich, Germany |
| 650 | # | 4 | |a Data Mining |
| 700 | 0 | # | |a Jiawei Han |