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Browsing by Subject "DATA MINING"

Browsing by Subject "DATA MINING"

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  • Crop price data interpretation: A comparison of machine learning 
    Hirpara, Jignesh; Vanjara, Pratik (International Multidisciplinary journal of applied research, 2022-01)
    Machine learning and its methodologies are used in agribusiness domains to predict edit costs based on stock availability and generation. On a daily basis, a massive amount of data is generated through the display of ...
  • Crop Price Data Interpretation: A Comparision of Machine Learning 
    Hirapara, Jignesh; Vanjara, Pratik (Research Matrix, 2022-01)
    Machine learning and its methodologies are used in agribusiness domains to predict edit costs based on stock availability and generation. On a daily basis, a massive amount of data is generated through the display of ...
  • CROP PRICE DATA INTERPRETATION:A COMPARISON OF MACHINE LEARNING 
    HIRAPARA, JIGNESH; VANJARA, DR.PRATIK (2022)
    Machine learning and its methodologies are used in agribusiness domains to predict edit costs based on stock availability and generation. On a daily basis, a massive amount of data is generated through the display of ...
  • CROP PRICE DATA INTERPRETATION:A COMPARISON OF MACHINE LEARNING 
    JIGNESH HIRAPARA, DR.PRATIK VANJARA (2022)
    Machine learning and its methodologies are used in agribusiness domains to predict edit costs based on stock availability and generation. On a daily basis, a massive amount of data is generated through the display of farming ...
  • A study of recommendation system in E-commerce 
    Gohel, Divyesh; Vanjara, Pratik (International Multidisciplinary journal of applied research, 2022-01)
    Recommendation Systems (RS) are commonly employed in the e-commerce business to deal with the problem of information overload. Because there is so much information available these days, users are having trouble discovering ...
  • A STUDY OF RECOMMENDATION SYSTEM IN E-COMMERCE 
    DIVYESH GOHEL, DR. PRATIK VANJARA (2022)
    Recommendation Systems (RS) are commonly employed in the e-commerce business to deal with the problem of information overload. Because there is so much information available these days, users are having trouble discovering ...