Association rule mining algorithms on high-dimensional datasets
Sign Up to like & getrecommendations! Published in 2018 at "Artificial Life and Robotics"
DOI: 10.1007/s10015-018-0437-y
Abstract: The science of bioinformatics has been accelerating at a fast pace, introducing more features and handling bigger volumes. However, these swift changes have, at the same time, posed challenges to data mining applications, in particular… read more here.
Keywords: high dimensional; mining; mining algorithms; dimensional datasets ... See more keywords
Extracting method of packet dependence from NoC simulation traces using association rule mining
Sign Up to like & getrecommendations! Published in 2020 at "Analog Integrated Circuits and Signal Processing"
DOI: 10.1007/s10470-020-01645-6
Abstract: Networks on-chip (NoCs) interconnect complex parallel applications on multiprocessors systems-on-chip. In order to rapidly evaluate NoCs, designers replace processing elements by communication traces on simulations. However, trace-based simulations have low accuracy due to the lack… read more here.
Keywords: rule mining; packet dependence; dependence; association rule ... See more keywords
ETARM: an efficient top-k association rule mining algorithm
Sign Up to like & getrecommendations! Published in 2017 at "Applied Intelligence"
DOI: 10.1007/s10489-017-1047-4
Abstract: Mining association rules plays an important role in data mining and knowledge discovery since it can reveal strong associations between items in databases. Nevertheless, an important problem with traditional association rule mining methods is that… read more here.
Keywords: association rules; association rule; association; top association ... See more keywords
Exploiting parallel graphics processing units to improve association rule mining in transactional databases using butterfly optimization algorithm
Sign Up to like & getrecommendations! Published in 2021 at "Cluster Computing"
DOI: 10.1007/s10586-021-03369-2
Abstract: Extracting association rules from huge amounts of data is an essential method in data mining that can provide valuable knowledge from datasets for various applications. In addition to a variety of traditional and parallel association… read more here.
Keywords: association rule; association; rule mining; optimization ... See more keywords
DCE -miner: an association rule mining algorithm for multimedia based on the MapReduce framework
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08361-y
Abstract: The amount of multimedia data has grown rapidly because of improvements in data collection and storage technologies. The association rule mining (ARM) technique is a type of data mining method widely used to extract useful… read more here.
Keywords: mining; association rule; dce miner; multimedia ... See more keywords
Dynamic optimisation based fuzzy association rule mining method
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-018-0806-9
Abstract: Techniques of performance analysis, comprising of various metrics such as accuracy, efficiency and consuming time, have been conducted to evaluate the measures of properties and interestingness for the association rule mining method. Therefore, these metrics… read more here.
Keywords: method; rule mining; dofarm; association ... See more keywords
A Novel Approach in Mining Specialized Coherent Rules in a Level-Crossing Hierarchy
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DOI: 10.1007/s40815-017-0361-7
Abstract: Multi-level association rule mining techniques that are developed for mining data at multiple-level taxonomy usually rely on minimum support and minimum confidence threshold for extracting frequent items at various levels. But the usage of above… read more here.
Keywords: coherent rules; specialized coherent; coherent; approach ... See more keywords
Pediatric population health analysis of southern and central Illinois region: A cross sectional retrospective study using association rule mining and multiple logistic regression
Sign Up to like & getrecommendations! Published in 2019 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.06.020
Abstract: BACKGROUND Southern Illinois University School of Medicine (SIUSOM) collects large amounts of data every day. SIUSOM and other similar healthcare systems are always looking for better ways to use the data to understand and address… read more here.
Keywords: illinois; medicine; association rule; rule mining ... See more keywords
Impact factors analysis on the probability characterized effects of time of use demand response tariffs using association rule mining method
Sign Up to like & getrecommendations! Published in 2019 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2019.111891
Abstract: Abstract Time of use (TOU) rate has been regarded as an effective strategy to associate utility companies to avoid peak time financial risks and make the most profit out of the market, while most programs… read more here.
Keywords: demand; time; association rule; rule mining ... See more keywords
Incremental Fuzzy Association Rule Mining for Classification and Regression
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DOI: 10.1109/access.2019.2933361
Abstract: The aim of mining fuzzy association rules is to find both the association and the casual relationships between the itemsets. With the arrival of dynamic data, the fuzzy association rules should be updated in real… read more here.
Keywords: association; fuzzy association; association rule; rule mining ... See more keywords
Sequential Association Rule Mining for Autonomously Extracting Hierarchical Task Structures in Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2965930
Abstract: Reinforcement learning (RL) techniques, while often powerful, can suffer from slow learning speeds, particularly in high dimensional spaces or in environments with sparse rewards. The decomposition of tasks into a hierarchical structure holds the potential… read more here.
Keywords: reinforcement learning; task; rule mining; hierarchical task ... See more keywords