HCP miner: an efficient heuristic-based clustering method for discovering colossal frequent patterns from high dimensional databases

IF 0.9 Q3 ENGINEERING, MULTIDISCIPLINARY

International Journal of Engineering Systems Modelling and SImulation Pub Date : 2023-01-01 DOI:10.1504/ijesms.2023.133951

T. Sreenivasula Reddy, R. Sathya, Mallikhanjuna Rao Nuka

引用次数: 0

查看原文本刊更多论文

HCP miner:一种有效的基于启发式的聚类方法，用于从高维数据库中发现巨大的频繁模式

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Engineering Systems Modelling and SImulation ENGINEERING, MULTIDISCIPLINARY-

CiteScore

2.00

自引率

27.30%

发文量

期刊介绍： Most of the research and experiments in the field of engineering have devoted significant efforts to modelling and simulation of various complicated phenomena and processes occurring in engineering systems. IJESMS provides an international forum and refereed authoritative source of information on the development and advances in modelling and simulation, contributing to the understanding of different complex engineering systems. IJESMS is designed to be a multi-disciplinary, fully refereed, international journal.