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IJDMBDJOURNAL

BOHR International Journal of Data Mining and Big Data

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BOHR Publishers
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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

Documents(3)Ìý

Do US Government and Commercial Media Concern Similar Topics? – A Text-mining (NLP) Approach
Do US Government and Commercial Media Concern Similar Topics? – A Text-mining (NLP) ApproachDo US Government and Commercial Media Concern Similar Topics? – A Text-mining (NLP) Approach
Do US Government and Commercial Media Concern Similar Topics? – A Text-mining (NLP) Approach
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Implementation of Web Application for Disease Prediction Using AI
Implementation of Web Application for Disease Prediction Using AIImplementation of Web Application for Disease Prediction Using AI
Implementation of Web Application for Disease Prediction Using AI
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Grievance Redressal System
Grievance Redressal SystemGrievance Redressal System
Grievance Redressal System
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