A Process to Comprehend Different Patterns of Data Mining Techniques for Selected Domains

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Provided by: International Journal of Computer Science & Engineering Technology (IJCSET)
Topic: Big Data
Format: PDF
One of the important problems in data mining is the classification rule learning which involves finding rules that partition given data into predefined classes. In the data mining domain where millions of records and a large number of attributes are involved, the execution time of existing algorithms can become prohibitive, particularly in interactive applications. Data mining is a field at the intersection of computer science and statistics, is the process that attempts to discover patterns in large data sets.
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