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International Journal of Sensor Networks and Data Communications

International Journal of Sensor Networks and Data Communications

ISSN: 2090-4886

Open Access
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Journals In Datamining

Data mining can be well-defined as a process used to extract usable data from a larger set of any raw data. It denotes analysing data patterns in large batches of data using one or more software. Data mining in other term is Knowledge Discovery in Data (KDD). Data mining aids to extract information from huge sets of data. It is the system of mining knowledge from data. Important Data mining techniques include classification, clustering, regression, association rules, outer detection, sequential patterns and prediction. Data mining or KDD  is the computer-assisted process of digging through and analysing huge sets of data and then extracting the meaning of the data. Data mining tools predict behaviours and future trends, letting businesses to make proactive, knowledge-driven decisions. Data mining relies heavily on programming, and yet there is no assumption which is the best language for data mining. It all depends on the dataset people deal with.

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Citations: 343

International Journal of Sensor Networks and Data Communications received 343 citations as per Google Scholar report

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