Too big to ignore : the business case for big data / Phil Simon.
By: Simon, Phil.
Series: Wiley and SAS business series: Publisher: Hoboken, New Jersey : John Wiley & Sons, Inc., [2013]Description: 1 online resource (257 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9781118642108 (electronic bk.); 1118642104 (electronic bk.); 9781118641866 (electronic bk.); 1118641868 (electronic bk.); 1299315712 (ebk); 9781299315716 (ebk).Subject(s): Data mining | Database management | Business -- Data processing
| Big dataGenre/Form: Electronic books. | Electronic books. | Electronic books.Additional physical formats: Print version:: Too big to ignore.DDC classification: 006.3/12 Online resources: An electronic book accessible through the World Wide Web; click to view
| Item type | Current location | Call number | Copy number | Status | Notes | Date due | Barcode |
|---|---|---|---|---|---|---|---|
| Main Collection | Taylor's Library - Perpetual(TU) | 006.3/12 (Browse shelf) | 1 | e-book | SOCIT,15010,03,CL,PPT |
Browsing Taylor's Library-TU Shelves Close shelf browser
| 006.3/12 Game analytics | 006.3/12 Managing and mining sensor data | 006.3/12 Data mining in large sets of complex data / | 006.3/12 Too big to ignore : | 006.3/12 Contrast data mining | 006.3/12 Mining user generated content / | 006.3/12 Large-scale data analytics / |
Includes bibliographical references and index.
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Description based on print version record.