Multi-threaded Frequent Itemset Mining on Temporal Data

Pradnya Patil
2018 International Journal for Research in Applied Science and Engineering Technology  
For analysis of transaction data, Frequent Itemset mining is important task in data mining. In literature work lot of work has been done on frequent Itemset mining task. But this work focuses on static dataset. Whole dataset is used for Itemset mining. The proposed work focuses on temporal data. Temporal data includes timestamp information. The dataset is sliced in cubes for analysis. The Apriori algorithm is used for Itemset mining. This data cube information provide periodic or time interval
more » ... pecific frequent Itemset. To define time cubes data density is defined to avoid overestimating the time period. To improve the system performance the system is implemented in multi-threaded environment. The performance of system will measured in terms of time and memory.
doi:10.22214/ijraset.2018.6284 fatcat:3bsjm4tqlzhxnbmkmmr6gwnmua