Data Mining and Decision Support: Integration and Collaboration
Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
2003
|
| Schriftenreihe: | The Springer International Series in Engineering and Computer Science
745 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses. Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting |
| Beschreibung: | 1 Online-Ressource (XXIII, 275 p) |
| ISBN: | 9781461502869 |
| DOI: | 10.1007/978-1-4615-0286-9 |
Internformat
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| 520 | |a Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses. Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting | ||
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| id | DE-604.BV045148820 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:02Z |
| institution | BVB |
| isbn | 9781461502869 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538519 |
| oclc_num | 1050924816 |
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| physical | 1 Online-Ressource (XXIII, 275 p) |
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| publishDate | 2003 |
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| publisher | Springer US |
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| series2 | The Springer International Series in Engineering and Computer Science |
| spelling | Data Mining and Decision Support Integration and Collaboration edited by Dunja Mladenić, Nada Lavrač, Marko Bohanec, Steve Moyle Boston, MA Springer US 2003 1 Online-Ressource (XXIII, 275 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 745 Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses. Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting Computer Science Data Structures, Cryptology and Information Theory Data Mining and Knowledge Discovery Artificial Intelligence (incl. Robotics) Computer Imaging, Vision, Pattern Recognition and Graphics Computer science Data structures (Computer science) Data mining Artificial intelligence Computer graphics Mladenić, Dunja edt Lavrač, Nada edt Bohanec, Marko edt Moyle, Steve edt Erscheint auch als Druck-Ausgabe 9781461350040 https://doi.org/10.1007/978-1-4615-0286-9 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Data Mining and Decision Support Integration and Collaboration Computer Science Data Structures, Cryptology and Information Theory Data Mining and Knowledge Discovery Artificial Intelligence (incl. Robotics) Computer Imaging, Vision, Pattern Recognition and Graphics Computer science Data structures (Computer science) Data mining Artificial intelligence Computer graphics |
| title | Data Mining and Decision Support Integration and Collaboration |
| title_auth | Data Mining and Decision Support Integration and Collaboration |
| title_exact_search | Data Mining and Decision Support Integration and Collaboration |
| title_full | Data Mining and Decision Support Integration and Collaboration edited by Dunja Mladenić, Nada Lavrač, Marko Bohanec, Steve Moyle |
| title_fullStr | Data Mining and Decision Support Integration and Collaboration edited by Dunja Mladenić, Nada Lavrač, Marko Bohanec, Steve Moyle |
| title_full_unstemmed | Data Mining and Decision Support Integration and Collaboration edited by Dunja Mladenić, Nada Lavrač, Marko Bohanec, Steve Moyle |
| title_short | Data Mining and Decision Support |
| title_sort | data mining and decision support integration and collaboration |
| title_sub | Integration and Collaboration |
| topic | Computer Science Data Structures, Cryptology and Information Theory Data Mining and Knowledge Discovery Artificial Intelligence (incl. Robotics) Computer Imaging, Vision, Pattern Recognition and Graphics Computer science Data structures (Computer science) Data mining Artificial intelligence Computer graphics |
| topic_facet | Computer Science Data Structures, Cryptology and Information Theory Data Mining and Knowledge Discovery Artificial Intelligence (incl. Robotics) Computer Imaging, Vision, Pattern Recognition and Graphics Computer science Data structures (Computer science) Data mining Artificial intelligence Computer graphics |
| url | https://doi.org/10.1007/978-1-4615-0286-9 |
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