Requirements
- No
Description
This course covers the working Principle of Association Mining and its various concepts like Support, Confidence, and Life in a very simplified manner. This course discusses about Naive Algorithm and Apriori Algorithm for finding Association Mining rules by taking lot of examples. All of these algorithms has been explained by taking working examples.
Who this course is for:
- Students taking Machine Learning or Data Mining Course
- Machine Learning Enthusiast
- Students preparing for placement tests and interviews
Instructor
- 4.4 Instructor Rating
- 1,856 Reviews
- 37,063 Students
- 8 Courses
Parteek Bhatia is a Professor in the Department of Computer Science and Engineering and Former Associate Dean of Student Affairs at Thapar Institute of Engineering and Technology, Patiala. Currently acting as Visiting Professor at the Department of Computer Science, Whitman College, Walla Walla, WA, USA. He is the recipient of the Young Faculty Research Fellowship from the Ministry of Electronics & Information Technology, Govt. of India.
He is a Postdoctorate from Tel Aviv University, Israel, and a former Visting Professor at LAMBDA Lab, Tel Aviv University, Israel.
He has earned his BTech from SLIET and MS from BITS Pilani. He is a doctorate in the field of NLP from Thapar University and a post-doctorate from Tel Aviv University, Israel.
He has published more than 100 research papers and articles in Journals, Conferences, and Magazines of repute. He is a winner of the Gold Medal at the International competition UNL Olympiad II, UNL Olympiad III, and UNL Olympiad IV conducted by the UNDL Foundation in the years 2013 and 2014.
He is a well-known author and published textbooks in Databases and Data Mining. His latest book, “Data Mining and Data Warehousing: Principles and Practical Techniques,” was Published by Cambridge University Press in 2019. He is the author of popular books like “Simplified Approach to DBMS”, “Simplified Approach to Visual Basic” and “Simplified Approach to Oracle,” and “NoSQL in a Day”.