https://www.imosver.com/en/libros/guide-to-intelligent-data-analysis-00106755840010675584Guide to Intelligent Data Analysis59.27Each 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 believehttps://static.serlogal.com/imagenes_small/9781447/978144712572.jpgLibrosSin stock temporalmenteSPRINGER000https://static.serlogal.com/imagenes_small/9781447/978144712572.jpg62.3953.122012/09/059781447125723Christian Borgelt/Frank Höppner/Michael R. BertholdLibrosaño_2012idioma_EnglishIautor_Christian Borgelt/Frank Höppner/Michael R. Bertholdsaga_Texts in Computer Science
Artículo
Guide to Intelligent Data
Christian Borgelt/Frank H
SPRINGER
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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 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 inte