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Syllabus outline for the MBA course Data Mining Techniques – Predictive Modeling & Pattern Discovery using R (MS617E) offered at KIET Group of Institutions, Delhi-NCR.
It covers data mining technologies, data warehousing & preprocessing, predictive modeling, R programming, and data analytics in R over 30 lecture hours. The course aims to build skills in applying data mining techniques, predictive models, and R programming for business problem-solving.
Key outcomes include applying data warehousing, preprocessing, predictive modeling, and evaluating data analytics in real-world contexts. Evaluation is based on MSE, CA (class assessments), and ESE, totaling 150 marks.
Evaluation is through MSE (50 marks), CA (25 marks), and ESE (75 marks), totaling 150 marks.
- Teacher: MR KOMAL MEHROTRA [HSS]
- Teacher: MR SHUBHAM TYAGI [HSS]
- Teacher: Ms Isha Grewal [HSS]
- Teacher: MS PARITA JAIN [CSE]
- Teacher: MS SWATI SHARMA [CSE]
- Teacher: Dr. Ankur Garg
- Teacher: Ankit Kumar Saini [CSIT]
- Teacher: Rashika Bangroo [CSIT]
- Teacher: MS. SHIVANI [CO]
- Teacher: Dr. Gaurav Dubey [CS]
- Teacher: MS. ARUSHI GUPTA [CS]
- Teacher: GARIMA SINGH [CSIT]
- Teacher: DR AJAY KUMAR SHRIVASTAVA [MCA]
- Teacher: Dr. Subhash Chandra Gupta [CSIT]
- Teacher: GARIMA SINGH [CSIT]
- Teacher: Rhea S Shrivastava [CSIT]
- Teacher: GARIMA SINGH [CSIT]
- Teacher: Ms. Khushboo Pandey [CSIT]
- Teacher: Satyam S Sunderam [CSIT]
Attempt your C program here with output.
