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Advanced Topics In Pattern Mining

Advanced Topics In Pattern Mining: Github Link

Class No. Lecture Topics Exercise Topics
1 Introduction to Pattern Mining-1 Understand datasets and using the algorithms in SPMF and PAMI_PyKit
2 Discovering frequent patterns in big data-1 Using Apriori algorithms to find desired patterns in the data
3 Discovering frequent patterns in big data-2 Using ECLAT and FP-growth algorithm to find frequent patterns
4 Discovering periodic-frequent patterns in big temporal databases Finding hidden temporal patterns in big data using PFP-growth algorithm
5 Discovering partial periodic patterns in big temporal databases Finding hidden temporal patterns in big data using using 3P-growth algorithm
6 Discovering fuzzy frequent patterns in non-binary transactional databases Discovering hidden fuzzy frequent patterns in non-binary transactional databases.
7 Discovering fuzzy periodic frequent patterns in non-binary temporal databases Discovering hidden fuzzy periodic-frequent patterns in non-binary temporal databases
8 High utility pattern mining Implementing HUIM algorithm
9 Spatial high utility pattern mining Implementing SHUIM algorithm
10 Rare Item Problem Implementing MSApriori algorithm
11 User interest-based pattern mining – 1 Implementing closed and maximal pattern mining algorithms
12 User interest-based pattern mining – 2 Implementing frequent pattern mining algorithm for uncertain data
13 Pattern mining in streams Implementing FP-stream algorithm