Data Mining Tasks, Processes and Analysis

\r\n Information mining undertaking can be shown as a data mining request. A data mining request is portrayed similarly as the data mining task first. This track joins complete examination of mining figuring’s, Semantic-based Data Mining and Data Pre-planning, Mining on data streams, Graph and sub-outline mining, Statistical Methods in Data Mining, Data Mining Predictive Analytics. The basic calculations in information mining and investigation shape the theory for the developing field of information science, which incorporates robotized techniques to examine examples and models for a wide range of information, with applications widening from logical revelation to business insight and examination.

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  • Competitive analysis of mining algorithms
  • Computational Modelling and Data Integration
  • Semantic-based Data Mining and Data Pre-processing
  • Mining on data streams
  • Graph and sub-graph mining
  • Scalable data pre-processing and cleaning techniques
  • Statistical Methods in Data Mining
  • Numeric attributes
  • Categorical attributes
  • Graph data

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