Search Results

Detecting regularities between complex events in temporal graphs is critical for emerging applications. This paper proposes graph temporal association rules (GTAR). A GTAR extends traditional association rules to discover temporal associations for ...

Abstract A novel method is presented for mining fuzzy association rules that have a temporal pattern. Our proposed method contributes towards discovering temporal patterns that could otherwise be lost from defining the membership functions before the ...

A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifies numerous temporal association rules that occur more frequently in areas ...

This paper shows and describes a heuristic methodology applied to Time Series Databases (TSDBs) by approaching Temporal Data Mining (TDM). The methodology focuses on temporal association rules from multiple time series which could be captured from many ...

Pattern mining in temporal databases is one of the challenging platform which holds attention when some ordered sequences are frequently occurred at different time instances in the dataset. We have found temporal patterns in humanoid robot dataset of ...

The Regional Healthcare Agency (ASL) of Pavia has been maintaining a central data repository which stores healthcare data about the population of Pavia area. The analysis of such data can be fruitful for the assessment of healthcare activities. Given ...

In recent years, the concept of temporal association rule (TAR) has been introduced in order to solve the problem on handling time series by including time expressions into association rules. In real life situations, temporal databases are often appended ...

This paper first overviews the concept of temporal association rules mining associated methods. It proposes an innovative approach of data mining for temporal association rules mining. According to the ordinary related rules, our method considers the ...

We present pSPADE, a parallel algorithm for fast discovery of frequent sequences in large databases. pSPADE decomposes the original search space into smaller suffix-based classes. Each class can be solved in main-memory using efficient search techniques ...