Proceedings of the 2007 SIAM International Conference on Data Mining:
The Sixth SIAM International Conference on Data Mining continues the tradition of presenting approaches, tools, and systems for data mining in fields such as science, engineering, industrial processes, healthcare, and medicine. The datasets in these fields are large, complex, and often noisy. Extrac...
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| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Philadelphia, Pennsylvania
Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)
[2007]
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| Subjects: | |
| Online Access: | UBW01 UBY01 Volltext Volltext |
| Summary: | The Sixth SIAM International Conference on Data Mining continues the tradition of presenting approaches, tools, and systems for data mining in fields such as science, engineering, industrial processes, healthcare, and medicine. The datasets in these fields are large, complex, and often noisy. Extracting knowledge requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms, based on sound statistical foundations. These techniques in turn require powerful visualization technologies; implementations that must be carefully tuned for performance; software systems that are usable by scientists, engineers, and physicians as well as researchers; and infrastructures that support them |
| Physical Description: | 1 Online-Ressource illustrations |
| ISBN: | 9781611972771 |
| DOI: | 10.1137/1.9781611972771 |
Staff View
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| index_date | 2024-07-03T17:11:40Z |
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| isbn | 9781611972771 |
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| spelling | Proceedings of the 2007 SIAM International Conference on Data Mining Editor(s): Chid Apte , David Skillicorn , Bing Liu and Srinivasan Parthasarathy Philadelphia, Pennsylvania Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104) [2007] 1 Online-Ressource illustrations txt rdacontent c rdamedia cr rdacarrier The Sixth SIAM International Conference on Data Mining continues the tradition of presenting approaches, tools, and systems for data mining in fields such as science, engineering, industrial processes, healthcare, and medicine. The datasets in these fields are large, complex, and often noisy. Extracting knowledge requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms, based on sound statistical foundations. These techniques in turn require powerful visualization technologies; implementations that must be carefully tuned for performance; software systems that are usable by scientists, engineers, and physicians as well as researchers; and infrastructures that support them Data mining ; Congresses Discrete mathematics and graph theory (DE-588)1071861417 Konferenzschrift gnd-content Apte, Chid edt Skillicorn, David B. (DE-588)1147709343 edt Liu, Bing edt Parthasarathy, Srinivasan Sonstige (DE-588)1224691261 oth 9780898716115 Erscheint auch als Druck-Ausgabe 9780898716115 Erscheint auch als Druck-Ausgabe 978-1-61197-276-4 https://doi.org/10.1137/1.9781611972771 Verlag URL des Erstveröffentlichers Volltext https:// URL des Erstveröffentlichers Volltext |
| spellingShingle | Proceedings of the 2007 SIAM International Conference on Data Mining |
| subject_GND | (DE-588)1071861417 |
| title | Proceedings of the 2007 SIAM International Conference on Data Mining |
| title_auth | Proceedings of the 2007 SIAM International Conference on Data Mining |
| title_exact_search | Proceedings of the 2007 SIAM International Conference on Data Mining |
| title_exact_search_txtP | Proceedings of the 2007 SIAM International Conference on Data Mining |
| title_full | Proceedings of the 2007 SIAM International Conference on Data Mining Editor(s): Chid Apte , David Skillicorn , Bing Liu and Srinivasan Parthasarathy |
| title_fullStr | Proceedings of the 2007 SIAM International Conference on Data Mining Editor(s): Chid Apte , David Skillicorn , Bing Liu and Srinivasan Parthasarathy |
| title_full_unstemmed | Proceedings of the 2007 SIAM International Conference on Data Mining Editor(s): Chid Apte , David Skillicorn , Bing Liu and Srinivasan Parthasarathy |
| title_short | Proceedings of the 2007 SIAM International Conference on Data Mining |
| title_sort | proceedings of the 2007 siam international conference on data mining |
| topic_facet | Konferenzschrift |
| url | https://doi.org/10.1137/1.9781611972771 https:// |
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