Intelligent Data Analysis
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Each passing year 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 a
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 a
7th International Symposium on Intelligent Data Analysis, Ida 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings | Springer-Verlag Berlin And Heidelberg Gmbh & Co. Kg | 2007 | 394 pages | ISBN-13: 9783540748243 | ISBN-10: 3540748245
Pattern Recognition has a long history of applications to data analysis in business, military and social economic activities. While the aim of pattern recognition is to discover the pattern of a data set, the size of the data set is closely related to the methodology one adopts for analysis. Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery tackles those data sets and covers a variety of issues in relation to intelligent data analysis so that patterns from frequent or rare events in spatial or temporal spaces can be revealed. This book brings togeth
Advances in Intelligent Data Analysis X SPRNC 9783642247996 09783642247996
Intelligent Data Analysis Textbook
