Data mining techniques and applications : an introduction/ Hongbo Du
Material type:
TextPublication details: Australia: Cengage Learning, 2010.Description: xvii,319p.: ill.; 25 cmISBN: - 9781844808915
- DUCE QA76.9.D343
| Item type | Current library | Collection | Call number | Copy number | Status | Barcode | |
|---|---|---|---|---|---|---|---|
| Books | DUCE LIBRARY Science: Shelf Q147.F45 – QA2162.E94 | Science Collection | DUCE QA76.9.D343 (Browse shelf(Opens below)) | 8 | Available | 000000158041 | |
| Books | DUCE LIBRARY Science: Shelf Q147.F45 – QA2162.E94 | Science Collection | DUCE QA76.9.D343 (Browse shelf(Opens below)) | 5 | Available | 000000158044 | |
| Books | DUCE LIBRARY Science: Shelf Q147.F45 – QA2162.E94 | Science Collection | DUCE QA76.9.D343 (Browse shelf(Opens below)) | 4 | Available | 000000158040 | |
| Books | DUCE LIBRARY Science: Shelf Q147.F45 – QA2162.E94 | Science Collection | DUCE QA76.9.D343 (Browse shelf(Opens below)) | 1 | Available | 000000158048 | |
| Books | DUCE LIBRARY Science: Shelf Q147.F45 – QA2162.E94 | Science Collection | DUCE QA76.9.D343 (Browse shelf(Opens below)) | 6 | Available | 000000158038 | |
| Books | DUCE LIBRARY Science: Shelf Q147.F45 – QA2162.E94 | Science Collection | DUCE QA76.9.D343 (Browse shelf(Opens below)) | 10 | Available | 000000158047 | |
| Books | DUCE LIBRARY Science: Shelf Q147.F45 – QA2162.E94 | Science Collection | DUCE QA76.9.D343 (Browse shelf(Opens below)) | 9 | Available | 000000158042 | |
| Books | DUCE LIBRARY Science: Shelf Q147.F45 – QA2162.E94 | Science Collection | DUCE QA76.9.D343 (Browse shelf(Opens below)) | 2 | Available | 000000158043 | |
| Books | DUCE LIBRARY Science: Shelf Q147.F45 – QA2162.E94 | Special Reserve | DUCE QA76.9.D343 (Browse shelf(Opens below)) | 7 | Not For Loan | 000000175882 | |
| Books | DUCE LIBRARY Science: Shelf Q147.F45 – QA2162.E94 | Special Reserve | DUCE QA76.9.D343 (Browse shelf(Opens below)) | 3 | Not For Loan | 000000175847 |
Includes bibliography and index
This concise and approachable introduction to data mining selects a mixture of data mining techniques originating from statistics, machine learning and databases, and presents them in an algorithmic approach
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