Computational Intelligence in Data Mining:
The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learning, and soft computing. Data Mining focuses...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Vienna
Springer Vienna
2000
|
| Ausgabe: | 1st ed. 2000 |
| Schriftenreihe: | CISM International Centre for Mechanical Sciences, Courses and Lectures
408 |
| Schlagworte: | |
| Online-Zugang: | DE-706 Volltext |
| Zusammenfassung: | The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learning, and soft computing. Data Mining focuses on unscrambling unknown patterns or structures in very large data sets. Under the headline "Discovering Structures in Large Databases" the book starts with a unified view on ‘Data Mining and Statistics – A System Point of View’. Two special techniques follow: ‘Subgroup Mining’, and ‘Data Mining with Possibilistic Graphical Models’. "Data Fusion and Possibilistic or Fuzzy Data Analysis" is the next area of interest. An overview of possibilistic logic, nonmonotonic reasoning and data fusion is given, the coherence problem between data and non-linear fuzzy models is tackled, and outlier detection based on learning of fuzzy models is studied. In the domain of "Classification and Decomposition" adaptive clustering and visualisation of high dimensional data sets is introduced. Finally, in the section "Learning and Data Fusion" learning of special multi-agents of virtual soccer is considered. The last topic is on data fusion based on stochastic models |
| Beschreibung: | 1 Online-Ressource (VII, 166 p. 3 illus) |
| ISBN: | 9783709125885 |
| DOI: | 10.1007/978-3-7091-2588-5 |
Internformat
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| 520 | |a The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learning, and soft computing. Data Mining focuses on unscrambling unknown patterns or structures in very large data sets. Under the headline "Discovering Structures in Large Databases" the book starts with a unified view on ‘Data Mining and Statistics – A System Point of View’. Two special techniques follow: ‘Subgroup Mining’, and ‘Data Mining with Possibilistic Graphical Models’. "Data Fusion and Possibilistic or Fuzzy Data Analysis" is the next area of interest. An overview of possibilistic logic, nonmonotonic reasoning and data fusion is given, the coherence problem between data and non-linear fuzzy models is tackled, and outlier detection based on learning of fuzzy models is studied. In the domain of "Classification and Decomposition" adaptive clustering and visualisation of high dimensional data sets is introduced. Finally, in the section "Learning and Data Fusion" learning of special multi-agents of virtual soccer is considered. The last topic is on data fusion based on stochastic models | ||
| 650 | 4 | |a Artificial Intelligence | |
| 650 | 4 | |a Math Applications in Computer Science | |
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| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-3-7091-2588-5 |
| edition | 1st ed. 2000 |
| format | Electronic eBook |
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| genre_facet | Konferenzschrift 1998 Udine |
| id | DE-604.BV047064821 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:23Z |
| indexdate | 2025-01-10T17:06:25Z |
| institution | BVB |
| isbn | 9783709125885 |
| language | English |
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| physical | 1 Online-Ressource (VII, 166 p. 3 illus) |
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| publisher | Springer Vienna |
| record_format | marc |
| series2 | CISM International Centre for Mechanical Sciences, Courses and Lectures |
| spelling | Computational Intelligence in Data Mining edited by Giacomo Della Riccia, Rudolf Kruse, Hans-J. Lenz 1st ed. 2000 Vienna Springer Vienna 2000 1 Online-Ressource (VII, 166 p. 3 illus) txt rdacontent c rdamedia cr rdacarrier CISM International Centre for Mechanical Sciences, Courses and Lectures 408 The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learning, and soft computing. Data Mining focuses on unscrambling unknown patterns or structures in very large data sets. Under the headline "Discovering Structures in Large Databases" the book starts with a unified view on ‘Data Mining and Statistics – A System Point of View’. Two special techniques follow: ‘Subgroup Mining’, and ‘Data Mining with Possibilistic Graphical Models’. "Data Fusion and Possibilistic or Fuzzy Data Analysis" is the next area of interest. An overview of possibilistic logic, nonmonotonic reasoning and data fusion is given, the coherence problem between data and non-linear fuzzy models is tackled, and outlier detection based on learning of fuzzy models is studied. In the domain of "Classification and Decomposition" adaptive clustering and visualisation of high dimensional data sets is introduced. Finally, in the section "Learning and Data Fusion" learning of special multi-agents of virtual soccer is considered. The last topic is on data fusion based on stochastic models Artificial Intelligence Math Applications in Computer Science Artificial intelligence Computer science—Mathematics Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 1998 Udine gnd-content Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Della Riccia, Giacomo edt Kruse, Rudolf edt Lenz, Hans-J. edt Erscheint auch als Druck-Ausgabe 9783211833261 Erscheint auch als Druck-Ausgabe 9783709125892 https://doi.org/10.1007/978-3-7091-2588-5 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Computational Intelligence in Data Mining Artificial Intelligence Math Applications in Computer Science Artificial intelligence Computer science—Mathematics Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)1071861417 |
| title | Computational Intelligence in Data Mining |
| title_auth | Computational Intelligence in Data Mining |
| title_exact_search | Computational Intelligence in Data Mining |
| title_exact_search_txtP | Computational Intelligence in Data Mining |
| title_full | Computational Intelligence in Data Mining edited by Giacomo Della Riccia, Rudolf Kruse, Hans-J. Lenz |
| title_fullStr | Computational Intelligence in Data Mining edited by Giacomo Della Riccia, Rudolf Kruse, Hans-J. Lenz |
| title_full_unstemmed | Computational Intelligence in Data Mining edited by Giacomo Della Riccia, Rudolf Kruse, Hans-J. Lenz |
| title_short | Computational Intelligence in Data Mining |
| title_sort | computational intelligence in data mining |
| topic | Artificial Intelligence Math Applications in Computer Science Artificial intelligence Computer science—Mathematics Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Artificial Intelligence Math Applications in Computer Science Artificial intelligence Computer science—Mathematics Künstliche Intelligenz Konferenzschrift 1998 Udine |
| url | https://doi.org/10.1007/978-3-7091-2588-5 |
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