Category: Data mining algorithms

In data mining, the WINEPI algorithm is an influential algorithm for episode mining, which helps discover the knowledge hidden in an event sequence. WINEPI derives part of its name from the fact that

GSP algorithm (Generalized Sequential Pattern algorithm) is an algorithm used for sequence mining. The algorithms for solving sequence mining problems are mostly based on the apriori (level-wise) algo

The α-algorithm or α-miner is an algorithm used in process mining, aimed at reconstructing causality from a set of sequences of events.It was first put forward by van der Aalst, Weijters and Măruşter.

The Teiresias algorithm is a combinatorial algorithm for the discovery of rigid patterns (motifs) in biological sequences. It is named after the Greek prophet Teiresias and was created in 1997 by and

Apriori is an algorithm for frequent item set mining and association rule learning over relational databases. It proceeds by identifying the frequent individual items in the database and extending the

Inductive miner belongs to a class of algorithms used in process discovery. Various algorithms proposed previously give process models of slightly different type from the same input. The quality of th