DAV Unit 4 Notes AKTU (BCDS501)
AKTU · BTECH · Semester 5 · Introduction to Data Analytics and Visualization · Unit 4 · Notes
AKTU Introduction to Data Analytics and Visualization (BCDS501) Unit 4 notes for B.Tech Semester 5 – Frequent Itemsets and Clustering. Topics: Frequent…
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Unit 4: Frequent Itemsets and Clustering – AKTU syllabus topics
- Frequent Itemsets: Mining Frequent Itemsets, Market Based Modelling, Apriori Algorithm
- Large Data Handling: Main Memory Handling, Limited Pass Algorithm, Frequent Itemsets In Stream
- Clustering Techniques: Hierarchical Clustering, K Means
- High Dimensional Clustering: High Dimensional Data, CLIQUE And ProCLUS
- Advanced Clustering: Pattern Based Clustering, Non Euclidean Clustering, Streams And Parallelism
AKTU paper codes: BCDS501, KDS501
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