Traditionally, analysts have performed the task of extracting useful information from recorded data, but the increasing volume of data in modern business and science calls for computer-based approaches. As data sets have grown in size and complexity, there has been a shift away from direct hands-on data analysis toward indirect, automatic data analysis using more complex and sophisticated tools. The modern technologies of computers, networks, and sensors have made data collection and organization much easier.
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Traditionally, analysts have performed the task of extracting useful information from recorded data, but the increasing volume of data in modern business and science calls for computer-based approaches. As data sets have grown in size and complexity, there has been a shift away from direct hands-on data analysis toward indirect, automatic data analysis using more complex and sophisticated tools. The modern technologies of computers, networks, and sensors have made data collection and organization much easier.
Dr.Subramaniam Arunachalam PhD, PGC, BEng (Hons), BSc, Dip(Tech), MIEE, teaches Manufacturing System Engineering and Product Design at the School of Computing, IT and Engineering at the University of East London, UK. His research interests include product development lean sigma nano composites, logistics and supply chain management.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Traditionally, analysts have performed the task of extracting useful information from recorded data, but the increasing volume of data in modern business and science calls for computer-based approaches. As data sets have grown in size and complexity, there has been a shift away from direct hands-on data analysis toward indirect, automatic data analysis using more complex and sophisticated tools. The modern technologies of computers, networks, and sensors have made data collection and organization much easier. 84 pp. Englisch. Bestandsnummer des Verkäufers 9783843380379
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: ARUNACHALAM SUBRAMANIAMDr.Subramaniam Arunachalam PhD, PGC, BEng (Hons), BSc, Dip(Tech), MIEE, teaches Manufacturing System Engineering and Product Design at the School of Computing, IT and Engineering at the University of East Lond. Bestandsnummer des Verkäufers 5467893
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Taschenbuch. Zustand: Neu. Neuware -Traditionally, analysts have performed the task of extracting useful information from recorded data, but the increasing volume of data in modern business and science calls for computer-based approaches. As data sets have grown in size and complexity, there has been a shift away from direct hands-on data analysis toward indirect, automatic data analysis using more complex and sophisticated tools. The modern technologies of computers, networks, and sensors have made data collection and organization much easier.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch. Bestandsnummer des Verkäufers 9783843380379
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Traditionally, analysts have performed the task of extracting useful information from recorded data, but the increasing volume of data in modern business and science calls for computer-based approaches. As data sets have grown in size and complexity, there has been a shift away from direct hands-on data analysis toward indirect, automatic data analysis using more complex and sophisticated tools. The modern technologies of computers, networks, and sensors have made data collection and organization much easier. Bestandsnummer des Verkäufers 9783843380379
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Taschenbuch. Zustand: Neu. An Application of Data Mining Techniques in Data Warehousing | A Case-Based Approach | Subramaniam Arunachalam (u. a.) | Taschenbuch | 84 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843380379 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 107172513
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