FP-Growth: Itemset Mining

Related lectures (29)

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Explores graph mining in social networks, covering data analysis and community detection.

Explores association rules in data mining, covering measures, techniques, and algorithms for efficient rule extraction.

Explores total order broadcast and its equivalence to consensus in reliable systems.

Explores group membership and view synchrony in distributed systems, ensuring accurate knowledge and coordinated views.

Covers counting distinct elements using hash functions and the median trick.

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Covers coin rendering and the limitations of the greedy algorithm in finding optimal solutions.

Covers the implementation and analysis of disjoint sets data structure and introduces the concept of minimum spanning trees.

Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.