Incremental mining of weighted maximal frequent itemsets from dynamic databases

U Yun, G Lee - Expert Systems with Applications, 2016 - Elsevier
Frequent itemset mining allows us to find hidden, important information from large
databases. Moreover, processing incremental databases in the itemset mining area has …

[PDF][PDF] Density based initialization method for k-means clustering algorithm

A Kumar, S Kumar - International Journal of Intelligent Systems …, 2017 - researchgate.net
Data clustering is a basic technique to show the structure of a data set. K-means clustering is
a widely acceptable method of data clustering, which follow a partitioned approach for …

Interactive visual analytics of big data

CKS Leung, CL Carmichael, P Johnstone… - Ontologies and big …, 2017 - igi-global.com
High volumes of a wide variety of data can be easily generated at a high velocity in many
real-life applications. Implicitly embedded in these big data is previously unknown and …

Interactive visual analytics of databases and frequent sets

CKS Leung, CL Carmichael, P Johnstone… - International Journal of …, 2013 - igi-global.com
In numerous real-life applications, large databases can be easily generated. Implicitly
embedded in these databases is previously unknown and potentially useful knowledge such …

一种基于倒排索引树的增量更新关联挖掘算法!

徐春, 李广原, 王玄, 田换 - Computer Engineering & …, 2016 - search.ebscohost.com
摘" 要增量更新关联规则挖掘主要解决事务数据库中交易记录不断更新和最小支持度发生变化时
关联规则的维护问题针对目前诸多增量更新关联规则挖掘算法存在效率低计算成本高规则难以 …

[图书][B] Job collar as a moderator on the relationship between decent work and meaningful work

T Ebrahim - 2020 - search.proquest.com
South Africa is a country with diverse socio and economic statuses (Job collar) leading to
people having different levels of decent work which influences their opportunity to …