Results 41 to 50 of about 1,895,501 (280)
IEEE Access, 2018 High average-utility itemsets mining (HAUIM) is an emerging topic in data mining. Compared to traditional high utility itemset mining, HAUIM more fairly measures the utility of itemsets by considering their lengths (number of items).
Jerry Chun-Wei Lin +2 more
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Mining actionable combined high utility incremental and associated patterns
, 2016 © 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
An Algorithm for Mining High Utility Sequential Patterns with Time Interval
Cybernetics and Information Technologies, 2019 Mining High Utility Sequential Patterns (HUSP) is an emerging topic in data mining which attracts many researchers. The HUSP mining algorithms can extract sequential patterns having high utility (importance) in a quantitative sequence database.
Duong Tran Huy +4 more
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Scientific Reports, 2023 Sequential pattern mining is one of the fundamental tools for many important data analysis tasks, such as web browsing behavior analysis. Based on frequent patterns, decision-makers can obtain both economic gains and social values.
Wenjuan Liang +3 more
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An Evolutionary Model to Mine High Expected Utility Patterns From Uncertain Databases
IEEE Transactions on Emerging Topics in Computational Intelligence, 2021 In recent decades, mobile or the Internet of Thing (IoT) devices are dramatically increasing in many domains and applications. Thus, a massive amount of data is generated and produced.
Usman Ahmed +4 more
semanticscholar +1 more source
Discovering High Utility-Occupancy Patterns from Uncertain Data [PDF]
Information Sciences, 2020 It is widely known that there is a lot of useful information hidden in big data, leading to a new saying that ”data is money.” Thus, it is prevalent for individuals to mine crucial information for utilization in many real-world applications. In the past,
Chien-Ming Chen +4 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker +11 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro +11 more
wiley +1 more source
TKUS: Mining Top-K High-Utility Sequential Patterns [PDF]
Information Sciences, 2020 High-utility sequential pattern mining (HUSPM) has recently emerged as a focus of intense research interest. The main task of HUSPM is to find all subsequences, within a quantitative sequential database, that have high utility with respect to a user ...
Chunkai Zhang +3 more
semanticscholar +1 more source
A single‐phase algorithm for mining high utility itemsets using compressed tree structures
ETRI Journal, 2021 Mining high utility itemsets (HUIs) from transaction databases considers such factors as the unit profit and quantity of purchased items. Two‐phase tree‐based algorithms transform a database into compressed tree structures and generate candidate patterns
Anup Bhat B, Harish SV, Geetha M
doaj +1 more source