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|k Statistik
|k Theoretische Statistik
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951 |
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|a BO
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900 |
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|
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900 |
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|
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|
900 |
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|
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|
900 |
|
|
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|
950 |
|
|
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950 |
|
|
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950 |
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|
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950 |
|
|
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950 |
|
|
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950 |
|
|
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|
950 |
|
|
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|
950 |
|
|
|a Wahrscheinlichkeitsrechnung
|
950 |
|
|
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|
950 |
|
|
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|
950 |
|
|
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|
950 |
|
|
|a 統計
|
950 |
|
|
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|
950 |
|
|
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|
950 |
|
|
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|
950 |
|
|
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|
950 |
|
|
|a KI
|
950 |
|
|
|a Intelligenz
|
950 |
|
|
|a 机器智能
|
950 |
|
|
|a 人工智能
|
950 |
|
|
|a 機器智能
|
950 |
|
|
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|
950 |
|
|
|a ADV
|
950 |
|
|
|a Automatische Datenverarbeitung
|
950 |
|
|
|a Automatisierte Datenverarbeitung
|
950 |
|
|
|a EDV
|
950 |
|
|
|a Elektronische Datenverarbeitung
|
950 |
|
|
|a Automation
|
950 |
|
|
|a Computer
|
950 |
|
|
|a Datentechnik
|
950 |
|
|
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|
950 |
|
|
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|
950 |
|
|
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|
950 |
|
|
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|
950 |
|
|
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950 |
|
|
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950 |
|
|
|a Datenmustererkennung
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950 |
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|
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950 |
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|
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950 |
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|
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950 |
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|
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950 |
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950 |
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950 |
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950 |
|
|
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950 |
|
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"Each passing bear bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now - at least in principle - solve any problem we are faced with so long as we only have enough data." "Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable." "To avoid the danger of "drowning in information, but starving for knowledge" the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems." "This practical and systematic textbook/reference for graduate and advanced undergradate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one's exploration of it."--BOOK JACKET |
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500 - Science, 000 - Computer science, information & general works |
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3519.5 |
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510 - Mathematics, 000 - Computer science, knowledge & systems |
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Statistik, Datenverarbeitung, Künstliche Intelligenz, Big Data, Data Mining |
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Mathematical statistics, Data processing, Artificial intelligence |
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Guide to intelligent data analysis how to intelligently make sense of real data Michael R. Berthold; Christian Borgelt; Frank Höppner; Frank Klawonn, London [u.a.] Springer 2010, XIII, 394 S. Ill., graph. Darst. 242 mm x 164 mm, Text txt rdacontent, ohne Hilfsmittel zu benutzen n rdamedia, Band nc rdacarrier, Texts in computer science, Literaturangaben, "Each passing bear bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now - at least in principle - solve any problem we are faced with so long as we only have enough data." "Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable." "To avoid the danger of "drowning in information, but starving for knowledge" the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems." "This practical and systematic textbook/reference for graduate and advanced undergradate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one's exploration of it."--BOOK JACKET, Mathematical statistics, Mathematical statistics Data processing, Artificial intelligence, s (DE-588)4056995-0 (DE-627)106152955 (DE-576)209119799 Statistik gnd, s (DE-588)4011152-0 (DE-627)106354140 (DE-576)208892052 Datenverarbeitung gnd, s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd, s (DE-588)4802620-7 (DE-627)472310364 (DE-576)216543657 Big Data gnd, s (DE-588)4428654-5 (DE-627)216935180 (DE-576)212347217 Data Mining gnd, (DE-627), Berthold, Michael 1966- (DE-588)123947162 (DE-627)085541702 (DE-576)173706665 oth, Borgelt, Christian 1967- (DE-588)122338421 (DE-627)081886128 (DE-576)293226482 oth, Höppner, Frank oth, Klawonn, Frank 1964- (DE-588)113214030 (DE-627)502583207 (DE-576)170210472 oth, 9781848822603, Online-Ausg. Berthold, Michael, 1966 - Guide to Intelligent Data Analysis London : Springer London, 2010 Online-Ressource (XII, 397p, digital) (DE-627)1649922973 (DE-576)327005270 9781848822603, http://www.gbv.de/dms/ilmenau/toc/583238734.PDF V:DE-601 B:DE-ilm1 pdf/application Verlag Inhaltsverzeichnis Inhaltsverzeichnis, https://zbmath.org/?q=an:1210.68049 B:ZBM 2021-04-12 Verlag Zentralblatt MATH Inhaltstext, DE-14 epn:3092647610 2010-12-14T16:02:26Z, DE-Ch1 epn:3092648056 2010-11-29T15:28:21Z |
spellingShingle |
Guide to intelligent data analysis: how to intelligently make sense of real data, "Each passing bear bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now - at least in principle - solve any problem we are faced with so long as we only have enough data." "Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable." "To avoid the danger of "drowning in information, but starving for knowledge" the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems." "This practical and systematic textbook/reference for graduate and advanced undergradate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one's exploration of it."--BOOK JACKET, Mathematical statistics, Mathematical statistics Data processing, Artificial intelligence, Data processing, Statistik, Datenverarbeitung, Künstliche Intelligenz, Big Data, Data Mining |
swb_id_str |
323836674 |
title |
Guide to intelligent data analysis: how to intelligently make sense of real data |
title_auth |
Guide to intelligent data analysis how to intelligently make sense of real data |
title_full |
Guide to intelligent data analysis how to intelligently make sense of real data Michael R. Berthold; Christian Borgelt; Frank Höppner; Frank Klawonn |
title_fullStr |
Guide to intelligent data analysis how to intelligently make sense of real data Michael R. Berthold; Christian Borgelt; Frank Höppner; Frank Klawonn |
title_full_unstemmed |
Guide to intelligent data analysis how to intelligently make sense of real data Michael R. Berthold; Christian Borgelt; Frank Höppner; Frank Klawonn |
title_short |
Guide to intelligent data analysis |
title_sort |
guide to intelligent data analysis how to intelligently make sense of real data |
title_sub |
how to intelligently make sense of real data |
title_unstemmed |
Guide to intelligent data analysis: how to intelligently make sense of real data |
topic |
Mathematical statistics, Mathematical statistics Data processing, Artificial intelligence, Data processing, Statistik, Datenverarbeitung, Künstliche Intelligenz, Big Data, Data Mining |
topic_facet |
Mathematical statistics, Artificial intelligence, Data processing, Statistik, Datenverarbeitung, Künstliche Intelligenz, Big Data, Data Mining |
url |
http://www.gbv.de/dms/ilmenau/toc/583238734.PDF, https://zbmath.org/?q=an:1210.68049 |