BOHR International Journal of Data Mining and Big Data
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BOHR Publishers
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www.bohrpub.com/journals/BIJDMBD
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BOHR International Journal of Data Mining and Big Data (BIJDMBD) is an open access peer-reviewed journal that publishes articles which contribute new results in all the areas of Data Mining and Big Data. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in this area
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commercial media nature language processing nlp text mining machine learning partitioning adjacency matrix lattice maximal gradual support pruning search space pattern mining symptons software legality disease web scraping computer science service e-complaint grievance
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