Maintenance algorithm for high average-utility itemsets with transaction deletion
High-utility itemset mining (HUIM) is an extension of traditional association-rule mining that can find profitable itemsets for decision-making. It faces, however, a limitation since the utility of an itemset increases along with the size of it.
Djenouri, Youcef +9 more
core +1 more source
AN EFFECTIVE WAY OF MINING HIGH UTILITY ITEMSETS FROM LARGE TRANSACTIONAL DATABASES [PDF]
The main aim of this project is to generate the high utility (profitable) itemsets in a parallel environment, by considering the both profit and quantity of each item. The parallel mining of high utility itemsets will take very less time than mining with
Amarendra, Dr. K., Prasad, Chadaram
core
Extraction of High Utility Itemsets using Utility Pattern with Genetic Algorithm from OLTP System
To analyse vast amount of data, Frequent pattern mining play an important role in data mining. In practice, Frequent pattern mining cannot meet the challenges of real world problems due to items differ in various measures.
, A. Saranya, D. Kerana Hanirex
core +1 more source
Mining High-Efficiency Itemsets with Negative Utilities
High-efficiency itemset mining has recently emerged as a new problem in itemset mining. An itemset is classified as a high-efficiency itemset if its utility-to-investment ratio meets or exceeds a specified efficiency threshold.
Irfan Yildirim
doaj +1 more source
An Efficient Approach for Mining High Average-Utility Itemsets in Incremental Database
Traditional high-utility itemset (HUI) mining methods tend to overestimate utility for long itemsets, leading to biased results. High average-utility itemset (HAUI) mining addresses this problem by normalizing utility with itemset length.
Ye-In Chang +2 more
doaj +1 more source
High Utility Itemset Mining Using Transaction Utility of Itemsets
Serin Lee, Jong Soo Park
openaire +2 more sources
Mining actionable combined high utility incremental and associated patterns
© 2016 IEEE. High Utility Itemsets(HUI) Mining, instead of Frequent Pattern Mining (FIM), has been an attractive theme in data mining domain for over a decade since it can be regarded as an alternative way for researchers to identify actionable patterns.
Jingyu Shao +5 more
core +1 more source
Mining actionable combined high utility incremental and associated sequential patterns. [PDF]
Shi M, Gong Y, Xu T, Zhao L.
europepmc +1 more source
A First-Out Alarm Detection Method via Association Rule Mining and Correlation Analysis. [PDF]
Li D, Cheng X.
europepmc +1 more source
Privately vertically mining of sequential patterns based on differential privacy with high efficiency and utility. [PDF]
Liang W, Zhang W, Liang S, Yuan C.
europepmc +1 more source

