Mining of high utility-probability sequential patterns from uncertain databases. [PDF]
PLoS ONE, 2017 High-utility sequential pattern mining (HUSPM) has become an important issue in the field of data mining. Several HUSPM algorithms have been designed to mine high-utility sequential patterns (HUPSPs).
Binbin Zhang +3 more
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Efficient Method for Mining High Utility Occupancy Patterns Based on Indexed List Structure
IEEE Access, 2023 High utility pattern mining has been proposed to improve the traditional support-based pattern mining methods that process binary databases. High utility patterns are discovered by effectively considering the quantity and importance of items.
Hyeonmo Kim +6 more
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Mining significant high utility gene regulation sequential patterns [PDF]
BMC Systems Biology, 2017 <p><strong>Background</strong></p> <p>Mining frequent gene regulation sequential patterns in time course microarray datasets is an important mining task in bioinformatics. Although finding such patterns are of paramount important for studying a disease, most existing work do not consider gene-disease association during ...
Zihayat, Morteza +2 more
openaire +2 more sources
HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values [PDF]
, 2015 We propose an efficient algorithm, called HI-Tree, for mining high influence patterns for an incremental dataset. In traditional pattern mining, one would find the complete set of patterns and then apply a post-pruning step to it.
C Ahmed +7 more
core +1 more source
Synthesizing High-Utility Patterns from Different Data Sources
Data, 2018 In large organizations, it is often required to collect data from the different geographic branches spread over different locations. Extensive amounts of data may be gathered at the centralized location in order to generate interesting patterns via mono ...
Abhinav Muley, Manish Gudadhe
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A Data-Driven Approach for Twitter Hashtag Recommendation
IEEE Access, 2020 This paper addresses the hashtag recommendation problem using high average-utility pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for Hashtag Recommendation). It consists of two main stages.
Asma Belhadi +3 more
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Multidimensional measurement within adult protective services: design and initial testing of the tool for risk, interventions, and outcomes. [PDF]
, 2014 This study describes the development, field utility, reliability, and validity of the multidimensional Tool for Risk, Interventions, and Outcomes (TRIO) for use in Adult Protective Services (APS).
Aarons, Gregory A +3 more
core +2 more sources
A New Algorithm for High Average-utility Itemset Mining [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold.
A. Soltani, M. Soltani
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
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Dramatically Reducing Search for High Utility Sequential Patterns by Maintaining Candidate Lists
Information, 2020 A ubiquitous challenge throughout all areas of data mining, particularly in the mining of frequent patterns in large databases, is centered on the necessity to reduce the time and space required to perform the search.
Scott Buffett
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