Advances in Data Analysis, Data Handling and Business Intelligence Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008 /

Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as in marketing, finance, economic...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Fink, Andreas (Επιμελητής έκδοσης), Lausen, Berthold (Επιμελητής έκδοσης), Seidel, Wilfried (Επιμελητής έκδοσης), Ultsch, Alfred (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Σειρά:Studies in Classification, Data Analysis, and Knowledge Organization,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Advances in Data Analysis, Data Handling and Business Intelligence  |h [electronic resource] :  |b Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008 /  |c edited by Andreas Fink, Berthold Lausen, Wilfried Seidel, Alfred Ultsch. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2010. 
300 |a XXVI, 695 p. 172 illus., 68 illus. in color.  |b online resource. 
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490 1 |a Studies in Classification, Data Analysis, and Knowledge Organization,  |x 1431-8814 
505 0 |a Invited -- Clustering and Classification -- Mixture Analysis -- Linguistics and Text Analysis -- Pattern Recognition and Machine Learning -- Statistical Musicology -- Banking and Finance -- Marketing, Management Science and Economics -- Archaeology and Spatial Planning -- Bio- and Health Sciences -- Exploratory Data Analysis, Modeling and Applications. 
520 |a Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as in marketing, finance, economics, engineering, linguistics, archaeology, musicology, medical science, and biology. This volume contains the revised versions of selected papers presented during the 32nd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation, GfKl). The conference, which was organized in cooperation with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), was hosted by Helmut-Schmidt-University, Hamburg, Germany, in July 2008. 
650 0 |a Computer science. 
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650 0 |a Business  |x Data processing. 
650 0 |a Data mining. 
650 0 |a Artificial intelligence. 
650 0 |a Statistics. 
650 1 4 |a Computer Science. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Statistics, general. 
650 2 4 |a IT in Business. 
650 2 4 |a Data Mining and Knowledge Discovery. 
700 1 |a Fink, Andreas.  |e editor. 
700 1 |a Lausen, Berthold.  |e editor. 
700 1 |a Seidel, Wilfried.  |e editor. 
700 1 |a Ultsch, Alfred.  |e editor. 
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830 0 |a Studies in Classification, Data Analysis, and Knowledge Organization,  |x 1431-8814 
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