Data mining and business intelligence: a guide to productivity
This book provides an overview of data mining technology and how it is applied in a business environment. It describes the corresponding data mining methodologies that are used to solve a variety of business problems which enhance firm-level efficiency in a less technical, more managerial style. The...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pa
IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
c2001
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| Schlagworte: | |
| Online-Zugang: | DE-898 DE-706 DE-1050 DE-1049 DE-83 Volltext |
| Zusammenfassung: | This book provides an overview of data mining technology and how it is applied in a business environment. It describes the corresponding data mining methodologies that are used to solve a variety of business problems which enhance firm-level efficiency in a less technical, more managerial style. The book incorporates the data mining process into the spectrum of complementary technologies that together comprise corporate information systems that promote business intelligence. Business intelligence involves the proliferation of value-added information throughout a given enterprise through the use of various applications that promotes efficiency for the firm |
| Beschreibung: | Includes bibliographical references and index. - Title from PDF t.p. (viewed on June 5, 2010) |
| Beschreibung: | 1 Online-Ressource (electronic texts (iv, 166 p. ill.)) digital files |
| DOI: | 10.4018/978-1-93070-803-7 |
Internformat
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| 245 | 1 | 0 | |a Data mining and business intelligence |b a guide to productivity |c Stephan Kudyba, Richard Hoptroff |
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| 500 | |a Includes bibliographical references and index. - Title from PDF t.p. (viewed on June 5, 2010) | ||
| 520 | |a This book provides an overview of data mining technology and how it is applied in a business environment. It describes the corresponding data mining methodologies that are used to solve a variety of business problems which enhance firm-level efficiency in a less technical, more managerial style. The book incorporates the data mining process into the spectrum of complementary technologies that together comprise corporate information systems that promote business intelligence. Business intelligence involves the proliferation of value-added information throughout a given enterprise through the use of various applications that promotes efficiency for the firm | ||
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Datensatz im Suchindex
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| author_variant | s k sk |
| building | Verbundindex |
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| dewey-full | 658/.0563 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658/.0563 |
| dewey-search | 658/.0563 |
| dewey-sort | 3658 3563 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| doi_str_mv | 10.4018/978-1-93070-803-7 |
| format | Electronic eBook |
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| id | DE-604.BV047945367 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:36:12Z |
| indexdate | 2024-08-23T01:08:47Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033326797 |
| oclc_num | 1312700999 |
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| physical | 1 Online-Ressource (electronic texts (iv, 166 p. ill.)) digital files |
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| publishDate | 2001 |
| publishDateSearch | 2001 |
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| publisher | IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |
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| spelling | Kudyba, Stephan 1963- Verfasser aut Data mining and business intelligence a guide to productivity Stephan Kudyba, Richard Hoptroff Hershey, Pa IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) c2001 1 Online-Ressource (electronic texts (iv, 166 p. ill.)) digital files txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index. - Title from PDF t.p. (viewed on June 5, 2010) This book provides an overview of data mining technology and how it is applied in a business environment. It describes the corresponding data mining methodologies that are used to solve a variety of business problems which enhance firm-level efficiency in a less technical, more managerial style. The book incorporates the data mining process into the spectrum of complementary technologies that together comprise corporate information systems that promote business intelligence. Business intelligence involves the proliferation of value-added information throughout a given enterprise through the use of various applications that promotes efficiency for the firm Business Computer network resources Business Data processing Office information systems Management information systems Electronic commerce Hoptroff, Richard ctb https://doi.org/10.4018/978-1-93070-803-7 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Kudyba, Stephan 1963- Data mining and business intelligence a guide to productivity Business Computer network resources Business Data processing Office information systems Management information systems Electronic commerce |
| title | Data mining and business intelligence a guide to productivity |
| title_auth | Data mining and business intelligence a guide to productivity |
| title_exact_search | Data mining and business intelligence a guide to productivity |
| title_exact_search_txtP | Data mining and business intelligence a guide to productivity |
| title_full | Data mining and business intelligence a guide to productivity Stephan Kudyba, Richard Hoptroff |
| title_fullStr | Data mining and business intelligence a guide to productivity Stephan Kudyba, Richard Hoptroff |
| title_full_unstemmed | Data mining and business intelligence a guide to productivity Stephan Kudyba, Richard Hoptroff |
| title_short | Data mining and business intelligence |
| title_sort | data mining and business intelligence a guide to productivity |
| title_sub | a guide to productivity |
| topic | Business Computer network resources Business Data processing Office information systems Management information systems Electronic commerce |
| topic_facet | Business Computer network resources Business Data processing Office information systems Management information systems Electronic commerce |
| url | https://doi.org/10.4018/978-1-93070-803-7 |
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