Data Mining Techniques

Data Mining is an analytical process designed to explore "big data" in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data. The ultimate goal of data mining journal is prediction - and predictive data mining is the most common type of data mining and one that has the most direct business applications.

Related Journals for Data Mining Techniques

Molecular Therapy - Nucleic Acids Journal, Expert Opinion on Therapeutic Patents, Molecular Pharmaceutics.

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Google Scholar citation report
Citations : 173

Chemical Informatics received 173 citations as per Google Scholar report

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  • Directory of Research Journal Indexing (DRJI)
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  • Geneva Foundation for Medical Education and Research
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  • CAS (Chemical Abstracting Services)

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