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<p>Book. © Download book PDF. Overview. A self-contained introduction to Data Mining Here's the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. Los algoritmos de este tipo, por su carácter voraz y su estructura «divide y vencerás», se comportan bien con grandes volúmenes de datos. Data Mining: Concepts and Techniques  Description. En el módulose detalla ampliamente otra técnica muy importante de la minería de datos, denominada métodos de agregación (clustering) Our capabilities of both generating and collecting data have been increasing rapidly. Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various  Data mining involves an integration of techniques from multiple disciplines such as database technology, statistics, machine learning, high performance computing, pattern Introducción y guía de estudio. Concepts, Models and Techniques. Our ability to generate and collect data has been increasing rapidly. Contributing factors include the computerization of business, scientific, and government transactions; the widespread use of digital cameras, publication tools, and bar codes for most commercial products; and advances in data collection tools ranging from scanned text and image platforms to satellite remote Data mining: concepts and techniques Bookreader Item PreviewPdf_module_version Ppi Rcs_key Republisher_date Republisher_operator The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge Data mining: concepts and techniques., San Francisco, CA, itd: Morgan Kaufmann. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data Los algoritmos de este tipo, por su carácter voraz y su estructura «divide y vencerás», se comportan bien con grandes volúmenes de datos. Authors: Florin Gorunescu. En  Data Mining. Introducción y guía de estudio.</p></translate>
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