Accelerated frequent closed sequential pattern mining for uncertain data
T You, Y Sun, Y Zhang, J Chen, P Zhang… - Expert Systems with …, 2022 - Elsevier
Data uncertainty has been taken into a consideration for mining and discovery of its hidden
knowledge in a variety of applications. Due to the fact that the nature of closed sequences is …
knowledge in a variety of applications. Due to the fact that the nature of closed sequences is …
Mining frequent weighted closed itemsets using the WN-list structure and an early pruning strategy
The problem of mining frequent weighted itemsets (FWIs) is an extension of the mining
frequent itemsets (FIs), which considers not only the frequent occurrence of items but also …
frequent itemsets (FIs), which considers not only the frequent occurrence of items but also …
HCP miner: an efficient heuristic-based clustering method for discovering colossal frequent patterns from high dimensional databases
TS Reddy, R Sathya, MR Nuka - International Journal of …, 2023 - inderscienceonline.com
This paper presents an efficient heuristic-based clustering method for colossal frequent
patterns discovery from the high dimensional databases (HCP miner). The HCP miner …
patterns discovery from the high dimensional databases (HCP miner). The HCP miner …
[HTML][HTML] Mining the colossal patterns using ISSA based KMC with VGHHO clustering model for high dimensional data
R Sathya, MR Nuka - Telematics and Informatics Reports, 2024 - Elsevier
High-dimensional datasets comprise a few rows but a huge total of features. The increased
difficulty data scientists have in efficiently gleaning insights from high-dimensional large data …
difficulty data scientists have in efficiently gleaning insights from high-dimensional large data …