Data mining for business applications:
Saved in:
| Format: | Electronic eBook |
|---|---|
| Language: | English |
| Published: |
Amsterdam ; Washington, DC
IOS Press
2010
|
| Series: | Frontiers in artificial intelligence and applications
v. 218 |
| Subjects: | |
| Item Description: | Includes indexes Print version record |
| Physical Description: | 1 online resource (xiv, 181 pages) |
| ISBN: | 9781607506331 1607506335 |
Staff View
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| 300 | |a 1 online resource (xiv, 181 pages) | ||
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| 490 | 0 | |a Frontiers in artificial intelligence and applications |v v. 218 | |
| 500 | |a Includes indexes | ||
| 500 | |a Print version record | ||
| 505 | 8 | |a Data mining is already incorporated into the business processes in many sectors such as health, retail, automotive, finance, telecom and insurance as well as in government. This technology is well established in applications such as targeted marketing, customer churn detection and market basket analysis. It is also emerging as an important technology in a wide range of new application areas, such as social media, social networks and sensor networks. These areas pose new challenges both in terms of the nature of available data and the underlying support technology. This book contains extended v | |
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| 650 | 7 | |a Data mining |2 fast | |
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| 700 | 1 | |a Ghani, Rayid |e Sonstige |4 oth | |
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| contents | Data mining is already incorporated into the business processes in many sectors such as health, retail, automotive, finance, telecom and insurance as well as in government. This technology is well established in applications such as targeted marketing, customer churn detection and market basket analysis. It is also emerging as an important technology in a wide range of new application areas, such as social media, social networks and sensor networks. These areas pose new challenges both in terms of the nature of available data and the underlying support technology. This book contains extended v |
| ctrlnum | (ZDB-4-ITC)ocn702533244 (OCoLC)702533244 (DE-599)BVBBV045349093 |
| dewey-full | 006.3/12 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/12 |
| dewey-search | 006.3/12 |
| dewey-sort | 16.3 212 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV045349093 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:15:39Z |
| institution | BVB |
| isbn | 9781607506331 1607506335 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030735745 |
| oclc_num | 702533244 |
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| physical | 1 online resource (xiv, 181 pages) |
| psigel | ZDB-4-ITC |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | IOS Press |
| record_format | marc |
| series2 | Frontiers in artificial intelligence and applications |
| spelling | Data mining for business applications edited by Carlos Soares and Rayid Ghani Amsterdam ; Washington, DC IOS Press 2010 1 online resource (xiv, 181 pages) txt rdacontent c rdamedia cr rdacarrier Frontiers in artificial intelligence and applications v. 218 Includes indexes Print version record Data mining is already incorporated into the business processes in many sectors such as health, retail, automotive, finance, telecom and insurance as well as in government. This technology is well established in applications such as targeted marketing, customer churn detection and market basket analysis. It is also emerging as an important technology in a wide range of new application areas, such as social media, social networks and sensor networks. These areas pose new challenges both in terms of the nature of available data and the underlying support technology. This book contains extended v COMPUTERS / Database Management / Data Mining bisacsh Business / Data processing fast Data mining fast Data mining Business Data processing Soares, Carlos Sonstige oth Ghani, Rayid Sonstige oth Erscheint auch als Druck-Ausgabe Data mining for business applications Amsterdam ; Washington, DC : IOS Press, 2010 9781607506324 |
| spellingShingle | Data mining for business applications Data mining is already incorporated into the business processes in many sectors such as health, retail, automotive, finance, telecom and insurance as well as in government. This technology is well established in applications such as targeted marketing, customer churn detection and market basket analysis. It is also emerging as an important technology in a wide range of new application areas, such as social media, social networks and sensor networks. These areas pose new challenges both in terms of the nature of available data and the underlying support technology. This book contains extended v COMPUTERS / Database Management / Data Mining bisacsh Business / Data processing fast Data mining fast Data mining Business Data processing |
| title | Data mining for business applications |
| title_auth | Data mining for business applications |
| title_exact_search | Data mining for business applications |
| title_full | Data mining for business applications edited by Carlos Soares and Rayid Ghani |
| title_fullStr | Data mining for business applications edited by Carlos Soares and Rayid Ghani |
| title_full_unstemmed | Data mining for business applications edited by Carlos Soares and Rayid Ghani |
| title_short | Data mining for business applications |
| title_sort | data mining for business applications |
| topic | COMPUTERS / Database Management / Data Mining bisacsh Business / Data processing fast Data mining fast Data mining Business Data processing |
| topic_facet | COMPUTERS / Database Management / Data Mining Business / Data processing Data mining Data mining Business Data processing |
| work_keys_str_mv | AT soarescarlos dataminingforbusinessapplications AT ghanirayid dataminingforbusinessapplications |