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00684nam ac200229 k 4500
000003807225
20220101120000
ta
020517s2001 us 000 eng
▼a 1402001142
▼a 123456
▼c 123456
▼d 211070
▼l WM1189
▼a QA76.9 D343
▼a QA76.9 D343
▼b D383
▼a Robert L,Grossman
▼a Data Mining for Scientific and Engineering Applications/
▼d Grossman,Robert L;
▼e Kamath,Chandrika;
▼e Kegelmeyer,Philip
▼a Dordrecht:
▼b Kluwer Academic Pub.,
▼c 2001.
▼a 605p.;
▼c 24cm.
▼a Data mining
▼a Massive computing
▼a Chandrika,Kamath
▼a Philip,Kegelmeyer
▼b US$60
▼a 단행본
| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 1402001142 |
| 분류기호 : | QA76.9 D343 |
| 개인저자 : | Robert L,Grossman |
| 서명/저자사항 : | Data Mining for Scientific and Engineering Applications/ Grossman,Robert L; Kamath,Chandrika; Kegelmeyer,Philip |
| 발행사항 : | Dordrecht: Kluwer Academic Pub., 2001. |
| 형태사항 : | 605p.; 24cm. |
| 개인저자 : | Chandrika,Kamath |
| 개인저자 : | Philip,Kegelmeyer |
| 언어 | 영어 |
1. On mining scientific datasets
2. Understanding high dimensional and large data sets: some mathematical challenges and opportunities
3. Data mining at the interface of computer science and statistics
4. Mining large image collections
5. Mining astronomical databases
6. Searching for bent-double galaxies in the first survey
7. A dataspace infrastructure for astronomical data
8. Data mining applications in bioinformatics
9. Mining resicue contacts in proteins
10. KDD services at the goddard earth sciences distributed srchive center
11. Data mining in integrated data access and data analysis systems
12. Spatial data mining for classificationk visualisation and interpretation with artmap neural network
13. Real time feature extraction for the analysis of turbulent flows
14. Data mining for turbulent flows
15. Evita-efficient visualization and interrogation of tera-scale data
16. Towards ubiquitous mining of distributed data
17. Decomposable algorithms for data mining
18. HDDI TM
19. Parallel algorithms for clustering high-dimensional large-scale datasets
20. Efficient clustering of very large document collections
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