[HTML][HTML] A review on big data based parallel and distributed approaches of pattern mining
Pattern mining is a fundamental technique of data mining to discover interesting correlations
in the data set. There are several variations of pattern mining, such as frequent itemset …
in the data set. There are several variations of pattern mining, such as frequent itemset …
Incremental mining of high utility sequential patterns using MapReduce paradigm
S Saleti - Cluster Computing, 2022 - Springer
High utility sequential pattern (HUSP) mining considers the nonbinary frequency values of
items purchased in a transaction and the utility of each item. Incremental updates are very …
items purchased in a transaction and the utility of each item. Incremental updates are very …
A novel mapreduce algorithm for distributed mining of sequential patterns using co-occurrence information
S Saleti, RBV Subramanyam - Applied Intelligence, 2019 - Springer
Abstract Sequential Pattern Mining (SPM) problem is much studied and extended in several
directions. With the tremendous growth in the size of datasets, traditional algorithms are not …
directions. With the tremendous growth in the size of datasets, traditional algorithms are not …