A comprehensive review on updating concept lattices and its application in updating association rules
E Shemis, A Mohammed - Wiley Interdisciplinary Reviews …, 2021 - Wiley Online Library
Formal concept analysis (FCA) visualizes formal concepts in terms of a concept lattice.
Usually, it is an NP‐problem and consumes plenty of time and storage space to update the …
Usually, it is an NP‐problem and consumes plenty of time and storage space to update the …
Mining high-utility itemsets in dynamic profit databases
Abstract High-Utility Itemset (HUI) mining is an important data-mining task which has gained
popularity in recent years due to its applications in numerous fields. HUI mining aims at …
popularity in recent years due to its applications in numerous fields. HUI mining aims at …
Identifying risk factors for adverse diseases using dynamic rare association rule mining
The increase in mortality rate due to life-threatening diseases has become an issue of
concern in today's world. Early detection and diagnosis of diseases thus becomes …
concern in today's world. Early detection and diagnosis of diseases thus becomes …
High utility pattern mining over data streams with sliding window technique
H Ryang, U Yun - Expert Systems with Applications, 2016 - Elsevier
Processing changeable data streams in real time is one of the most important issues in the
data mining field due to its broad applications such as retail market analysis, wireless sensor …
data mining field due to its broad applications such as retail market analysis, wireless sensor …
An efficient algorithm for mining high utility patterns from incremental databases with one database scan
High utility pattern mining has been actively researched as one of the significant topics in the
data mining field since this approach can solve the limitation of traditional pattern mining that …
data mining field since this approach can solve the limitation of traditional pattern mining that …
The lattice‐based approaches for mining association rules: a review
The traditional methods for mining association rules (ARs) include two phrases: mining
frequent itemsets (FIs)/frequent closed itemsets (FCIs)/frequent maximal itemsets (FMIs) and …
frequent itemsets (FIs)/frequent closed itemsets (FCIs)/frequent maximal itemsets (FMIs) and …
Mining of high average-utility itemsets using novel list structure and pruning strategy
U Yun, D Kim - Future Generation Computer Systems, 2017 - Elsevier
A novel algorithm for efficiently mining high average-utility itemsets is presented in this
paper. The algorithm utilizes list structures, which compactly capture all information needed …
paper. The algorithm utilizes list structures, which compactly capture all information needed …
Efficient transaction deleting approach of pre-large based high utility pattern mining in dynamic databases
Most traditional pattern mining is designed to process binary databases, so there is a limit to
extracting meaningful information from real-world databases. To solve this problem, high …
extracting meaningful information from real-world databases. To solve this problem, high …
An efficient preprocessing method for supervised sentiment analysis by converting sentences to numerical vectors: a twitter case study
MK Sohrabi, F Hemmatian - Multimedia tools and applications, 2019 - Springer
Along with the significant growth of social media, individuals and companies are
increasingly receiving public opinions which direct their decisions. Opinion mining, which is …
increasingly receiving public opinions which direct their decisions. Opinion mining, which is …
A new efficient approach for mining uncertain frequent patterns using minimum data structure without false positives
G Lee, U Yun - Future Generation Computer Systems, 2017 - Elsevier
The concept of uncertain pattern mining was recently proposed to fulfill the demand for
processing databases with uncertain data, and various relevant methods have been …
processing databases with uncertain data, and various relevant methods have been …