As the volume of digital commerce and communication has exploded, the demand for data
mining of streaming data has likewise grown. One of the fundamental data mining tasks, for …

Since its inception, mining frequent patterns have become an imperative issue in data
mining. The main problem in this area is to find out the association rule that identifies the …

In this paper, we are presenting an overview of existing frequent item set mining algorithms.
Nowadays frequent item set mining is a very popular and computationally expensive task …

Association rule mining is known to be computationally intensive, yet real-time decision-
making applications are increasingly intolerant to delays. The state-of-the-art PARAS …

Pattern mining is a challenging problem in data mining research due to large amounts of
records and dimensions are increasing in accessible databases. Number of parallel and …

Abstract Frequent Pattern Tree (FP-Tree) is a compact data structure of representing
frequent itemsets. The construction of FP-Tree is very important prior to frequent patterns …

One of the most popular data mining techniques is association rule mining. Frequent Pattern
Mining is part of that. Plentiful literature dedicated to this research and remarkable progress …

Spatial association mining has been used for discovering frequent spatial relationship
patterns from a large spatial database. When the database is constantly updated with fresh …

Abstract Frequent Pattern Tree (FP-Tree) is one of the famous data structure to keep
frequent itemsets. However when the content of transactional database is modified, FP-Tree …

With the advancement in technology, information is exponentially increasing day-by-day.
With such abundant information, methods are required to analyse the welter of information …