Results 11 to 20 of about 338,799 (197)
Correlated utility-based pattern mining [PDF]
Information Sciences, 2019 Elsevier Information Science, 15 ...
Wensheng Gan +4 more
openaire +2 more sources
Modified GUIDE (LM) algorithm for mining maximal high utility patterns from data streams [PDF]
International Journal of Computational Intelligence Systems, 2015 High utility pattern mining is an emerging research topic in the data mining field. Unlike frequent pattern mining, high utility pattern mining deals with non-binary databases, in which the information about purchased quantities of items is maintained ...
Chiranjeevi Manike, Hari Om
doaj +1 more source
Utilizing text mining results [PDF]
Proceedings of the ACL-02 workshop on Natural language processing in the biomedical domain -, 2002 Information Extraction (IE), defined as the activity to extract structured knowledge from unstructured text sources, offers new opportunities for the exploitation of biological information contained in the vast amounts of scientific literature. But while IE technology has received increasing attention in the area of molecular biology, there have not ...
G. Demetriou, R. Gaizauskas
openaire +1 more source
LUIM: New Low-Utility Itemset Mining Framework
IEEE Access, 2019 High-utility itemset mining (HUIM), which is the detection of high-utility itemsets (HUIs) in a transactional database, provides the decision maker with greater flexibility to exploit item utilities, such as quantity and profits, to extract remarkable ...
Naji Alhusaini +5 more
doaj +1 more source
IEEE Access, 2021 Utility-pattern mining in data has received a lot of attention from the knowledge discovery in database (KDD) community due to its high potential for many applications such as finance, biomedicine, manufacturing, e-commerce, and social media.
Jerry Chun-Wei Lin +3 more
doaj +1 more source
A review on big data based parallel and distributed approaches of pattern mining
Journal of King Saud University: Computer and Information Sciences, 2022 Pattern mining is a fundamental technique of data mining to discover interesting correlations in the data set. There are several variations of pattern mining, such as frequent itemset mining, sequence mining, and high utility itemset mining. High utility
Sunil Kumar, Krishna Kumar Mohbey
doaj +1 more source
High utility-itemset mining and privacy-preserving utility mining
Perspectives in Science, 2016 SummaryIn recent decades, high-utility itemset mining (HUIM) has emerging a critical research topic since the quantity and profit factors are both concerned to mine the high-utility itemsets (HUIs). Generally, data mining is commonly used to discover interesting and useful knowledge from massive data. It may, however, lead to privacy threats if private
Lin, Jerry Chun-Wei +7 more
openaire +1 more source
FCHUIM: Efficient Frequent and Closed High-Utility Itemsets Mining
IEEE Access, 2020 Mining a closed high-utility itemset is a prevalent research task in analyzing transaction databases. However, numerous target itemsets are generated in the closed high-utility itemset mining task.
Tianyou Wei +5 more
doaj +1 more source
An Efficient Tree-Based Algorithm for Mining High Average-Utility Itemset
IEEE Access, 2019 High-utility itemset mining (HUIM), which is an extension of well-known frequent itemset mining (FIM), has become a key topic in recent years. HUIM aims to find a complete set of itemsets having high utilities in a given dataset.
Irfan Yildirim, Mete Celik
doaj +1 more source
Mining High Utility Itemsets Based on Pattern Growth without Candidate Generation
Mathematics, 2020 Mining high utility itemsets (HUIs) has been an active research topic in data mining in recent years. Existing HUI mining algorithms typically take two steps: generating candidates and identifying utility values of these candidate itemsets.
Yiwei Liu, Le Wang, Lin Feng, Bo Jin
doaj +1 more source