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 anal...
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Amsterdam ; Washington, DC :
IOS Press,
©2010.
|
Schriftenreihe: | Frontiers in artificial intelligence and applications ;
v. 218. |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | 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. |
Beschreibung: | Includes indexes. |
Beschreibung: | 1 online resource (xiv, 181 pages). |
Bibliographie: | Includes bibliographical references and indexes. |
ISBN: | 9781607506331 1607506335 |
ISSN: | 1879-8314 ; |
Internformat
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490 | 1 | |a Frontiers in artificial intelligence and applications, |x 1879-8314 ; |v v. 218 | |
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505 | 0 | |a pt. 1. Data mining methodology -- pt. 2. Data mining applications of today -- pt. 3. Data mining applications of tomorrow. | |
588 | 0 | |a Print version record. | |
520 | |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. | ||
650 | 0 | |a Data mining. |0 http://id.loc.gov/authorities/subjects/sh97002073 | |
650 | 0 | |a Business |x Data processing. |0 http://id.loc.gov/authorities/subjects/sh85018264 | |
650 | 2 | |a Data Mining |0 https://id.nlm.nih.gov/mesh/D057225 | |
650 | 6 | |a Exploration de données (Informatique) | |
650 | 6 | |a Gestion |x Informatique. | |
650 | 7 | |a COMPUTERS |x Database Management |x Data Mining. |2 bisacsh | |
650 | 7 | |a Business |x Data processing |2 fast | |
650 | 7 | |a Data mining |2 fast | |
700 | 1 | |a Soares, Carlos. |0 http://id.loc.gov/authorities/names/n86848342 | |
700 | 1 | |a Ghani, Rayid. | |
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Datensatz im Suchindex
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adam_text | |
any_adam_object | |
author2 | Soares, Carlos Ghani, Rayid |
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author2_variant | c s cs r g rg |
author_GND | http://id.loc.gov/authorities/names/n86848342 |
author_facet | Soares, Carlos Ghani, Rayid |
author_sort | Soares, Carlos |
building | Verbundindex |
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callnumber-first | Q - Science |
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callnumber-subject | QA - Mathematics |
collection | ZDB-4-EBA |
contents | pt. 1. Data mining methodology -- pt. 2. Data mining applications of today -- pt. 3. Data mining applications of tomorrow. |
ctrlnum | (OCoLC)702533244 |
dewey-full | 006.3/12 |
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dewey-search | 006.3/12 |
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dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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id | ZDB-4-EBA-ocn702533244 |
illustrated | Not Illustrated |
indexdate | 2024-11-27T13:17:42Z |
institution | BVB |
isbn | 9781607506331 1607506335 |
issn | 1879-8314 ; |
language | English |
oclc_num | 702533244 |
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series | Frontiers in artificial intelligence and applications ; |
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). text txt rdacontent computer c rdamedia online resource cr rdacarrier data file rda Frontiers in artificial intelligence and applications, 1879-8314 ; v. 218 Includes indexes. Includes bibliographical references and indexes. pt. 1. Data mining methodology -- pt. 2. Data mining applications of today -- pt. 3. Data mining applications of tomorrow. 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. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Data Mining https://id.nlm.nih.gov/mesh/D057225 Exploration de données (Informatique) Gestion Informatique. COMPUTERS Database Management Data Mining. bisacsh Business Data processing fast Data mining fast Soares, Carlos. http://id.loc.gov/authorities/names/n86848342 Ghani, Rayid. Print version: Data mining for business applications. Amsterdam ; Washington, DC : IOS Press, ©2010 9781607506324 (OCoLC)692277391 Frontiers in artificial intelligence and applications ; v. 218. http://id.loc.gov/authorities/names/n92019289 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=351779 Volltext |
spellingShingle | Data mining for business applications / Frontiers in artificial intelligence and applications ; pt. 1. Data mining methodology -- pt. 2. Data mining applications of today -- pt. 3. Data mining applications of tomorrow. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Data Mining https://id.nlm.nih.gov/mesh/D057225 Exploration de données (Informatique) Gestion Informatique. COMPUTERS Database Management Data Mining. bisacsh Business Data processing fast Data mining fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh97002073 http://id.loc.gov/authorities/subjects/sh85018264 https://id.nlm.nih.gov/mesh/D057225 |
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 | Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Data Mining https://id.nlm.nih.gov/mesh/D057225 Exploration de données (Informatique) Gestion Informatique. COMPUTERS Database Management Data Mining. bisacsh Business Data processing fast Data mining fast |
topic_facet | Data mining. Business Data processing. Data Mining Exploration de données (Informatique) Gestion Informatique. COMPUTERS Database Management Data Mining. Business Data processing Data mining |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=351779 |
work_keys_str_mv | AT soarescarlos dataminingforbusinessapplications AT ghanirayid dataminingforbusinessapplications |