Synopsis
Data Mining (DM) [1] is defined as the extraction of knowledge from data. Several existing tools in data mining are available to forecast the trends in the data. In addition, Data mining can be used to identify and remove the irrelevant information. Apart from this, it enables us to derive knowledge, through which it become to make decisions that are used as a proactive measure in this process analysis. The traditional methods in knowledge extraction process that are under implementation at present are time consuming methods. Whereas the data mining has resolved this issue by overcoming the time consumption.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data Mining (DM) [1] is defined as the extraction of knowledge from data. Several existing tools in data mining are available to forecast the trends in the data. In addition, Data mining can be used to identify and remove the irrelevant information. Apart from this, it enables us to derive knowledge, through which it become to make decisions that are used as a proactive measure in this process analysis. The traditional methods in knowledge extraction process that are under implementation at present are time consuming methods. Whereas the data mining has resolved this issue by overcoming the time consumption. Seller Inventory # 9780359878024
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Taschenbuch. Condition: Neu. UNSUPERVISED CLUSTERING CATEGORICAL DATA USING EVOLUTIONARY OPTIMIZATION TECHNIQUES | G. Surya Narayana | Taschenbuch | Englisch | 2019 | [.] | EAN 9780359878024 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 135421355
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