Intelligent Technologies for Information Analysis:
Intelligent Information Technology (iiT) encompasses the theories and ap plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com puting, and autonomous agents and multi-agent systems in the context of...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2004
|
| Ausgabe: | 1st ed. 2004 |
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | Intelligent Information Technology (iiT) encompasses the theories and ap plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par ticular, advances in agents, data mining, and learning theory, from both the oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter includes the original work of the author(s) as well as a comprehensive survey related to the chapter's topic. This book will become a valuable source of reference for R&D profession als active in advanced intelligent information technologies. Students as well as IT professionals and ambitious practitioners concerned with advanced in telligent information technologies will appreciate the book as a useful text enhanced by numerous illustrations and examples |
| Beschreibung: | 1 Online-Ressource (XXVII, 711 p) |
| ISBN: | 9783662079522 |
| DOI: | 10.1007/978-3-662-07952-2 |
Internformat
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| 520 | |a Intelligent Information Technology (iiT) encompasses the theories and ap plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par ticular, advances in agents, data mining, and learning theory, from both the oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter includes the original work of the author(s) as well as a comprehensive survey related to the chapter's topic. This book will become a valuable source of reference for R&D profession als active in advanced intelligent information technologies. Students as well as IT professionals and ambitious practitioners concerned with advanced in telligent information technologies will appreciate the book as a useful text enhanced by numerous illustrations and examples | ||
| 650 | 4 | |a Information Storage and Retrieval | |
| 650 | 4 | |a Probability and Statistics in Computer Science | |
| 650 | 4 | |a Math Applications in Computer Science | |
| 650 | 4 | |a Information Systems Applications (incl. Internet) | |
| 650 | 4 | |a Artificial Intelligence | |
| 650 | 4 | |a Probability Theory and Stochastic Processes | |
| 650 | 4 | |a Information storage and retrieval | |
| 650 | 4 | |a Mathematical statistics | |
| 650 | 4 | |a Computer science—Mathematics | |
| 650 | 4 | |a Application software | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Probabilities | |
| 700 | 1 | |a Zhong, Ning |4 edt | |
| 700 | 1 | |a Liu, Jiming |4 edt | |
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Datensatz im Suchindex
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| dewey-full | 025.04 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 025 - Operations of libraries and archives |
| dewey-raw | 025.04 |
| dewey-search | 025.04 |
| dewey-sort | 225.04 |
| dewey-tens | 020 - Library and information sciences |
| discipline | Allgemeines Informatik |
| discipline_str_mv | Allgemeines Informatik |
| doi_str_mv | 10.1007/978-3-662-07952-2 |
| edition | 1st ed. 2004 |
| format | Electronic eBook |
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| id | DE-604.BV047064640 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:23Z |
| indexdate | 2024-07-10T09:01:35Z |
| institution | BVB |
| isbn | 9783662079522 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032471752 |
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| spelling | Intelligent Technologies for Information Analysis edited by Ning Zhong, Jiming Liu 1st ed. 2004 Berlin, Heidelberg Springer Berlin Heidelberg 2004 1 Online-Ressource (XXVII, 711 p) txt rdacontent c rdamedia cr rdacarrier Intelligent Information Technology (iiT) encompasses the theories and ap plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par ticular, advances in agents, data mining, and learning theory, from both the oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter includes the original work of the author(s) as well as a comprehensive survey related to the chapter's topic. This book will become a valuable source of reference for R&D profession als active in advanced intelligent information technologies. Students as well as IT professionals and ambitious practitioners concerned with advanced in telligent information technologies will appreciate the book as a useful text enhanced by numerous illustrations and examples Information Storage and Retrieval Probability and Statistics in Computer Science Math Applications in Computer Science Information Systems Applications (incl. Internet) Artificial Intelligence Probability Theory and Stochastic Processes Information storage and retrieval Mathematical statistics Computer science—Mathematics Application software Artificial intelligence Probabilities Zhong, Ning edt Liu, Jiming edt Erscheint auch als Druck-Ausgabe 9783642073786 Erscheint auch als Druck-Ausgabe 9783540406778 Erscheint auch als Druck-Ausgabe 9783662079539 https://doi.org/10.1007/978-3-662-07952-2 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Intelligent Technologies for Information Analysis Information Storage and Retrieval Probability and Statistics in Computer Science Math Applications in Computer Science Information Systems Applications (incl. Internet) Artificial Intelligence Probability Theory and Stochastic Processes Information storage and retrieval Mathematical statistics Computer science—Mathematics Application software Artificial intelligence Probabilities |
| title | Intelligent Technologies for Information Analysis |
| title_auth | Intelligent Technologies for Information Analysis |
| title_exact_search | Intelligent Technologies for Information Analysis |
| title_exact_search_txtP | Intelligent Technologies for Information Analysis |
| title_full | Intelligent Technologies for Information Analysis edited by Ning Zhong, Jiming Liu |
| title_fullStr | Intelligent Technologies for Information Analysis edited by Ning Zhong, Jiming Liu |
| title_full_unstemmed | Intelligent Technologies for Information Analysis edited by Ning Zhong, Jiming Liu |
| title_short | Intelligent Technologies for Information Analysis |
| title_sort | intelligent technologies for information analysis |
| topic | Information Storage and Retrieval Probability and Statistics in Computer Science Math Applications in Computer Science Information Systems Applications (incl. Internet) Artificial Intelligence Probability Theory and Stochastic Processes Information storage and retrieval Mathematical statistics Computer science—Mathematics Application software Artificial intelligence Probabilities |
| topic_facet | Information Storage and Retrieval Probability and Statistics in Computer Science Math Applications in Computer Science Information Systems Applications (incl. Internet) Artificial Intelligence Probability Theory and Stochastic Processes Information storage and retrieval Mathematical statistics Computer science—Mathematics Application software Artificial intelligence Probabilities |
| url | https://doi.org/10.1007/978-3-662-07952-2 |
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