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LECTURE 11||MODULE 3||Classification and Prediction||CS402 DATAMINING AND WAREHOUSING
What is Data Mining
Data Mining - Module 3 - Candidate Generation and Support count Hashing
Module 3.1: Concepts& Foundations of Data Mining (Part 1) | Data Mining (2025/26 CSC 4792)
Data mining/c4.5 algorithm,tree pruning/module 3/smita datamining/ktu syllabus/video22
complete unit 3 classification in data mining || classification || data mining
Data Mining Techniques
Module3 Data Mining -Part2
Data Mining - Module 3 - FP Growth Algorithm for frequent item set generation
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Last Updated: September 30, 2026
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In this video, we will discuss and explain an in-depth overview of all major for downloading ppt: slideshare.net/NIMMYRAJU/cs-402- Learn more about Watsonx: ibm.biz/BdPuCu What is Candidate Generation and Support count Hashing in MY INSTAGRAM ID: instagram.com/ns.lectures/ - Decision Trees, Naive Bayes, and Neural Networks. SARANYA BABU ASST. PROFESSOR, DEPT. OF CSE, AJIET Based on VTU 15CS82 BIG Frequent Pattern Growth Algorithm to generate frequent item set.