Results 21 to 30 of about 391,967 (186)
NiaAutoARM: Automated Framework for Constructing and Evaluating Association Rule Mining Pipelines
MathematicsNumerical Association Rule Mining (NARM), which simultaneously handles both numerical and categorical attributes, is a powerful approach for uncovering meaningful associations in heterogeneous datasets.
Uroš Mlakar, Iztok Fister, Iztok Fister
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Temporal fuzzy association rule mining with 2-tuple linguistic representation [PDF]
, 2012 This paper reports on an approach that contributes towards the problem of discovering fuzzy association rules that exhibit a temporal pattern. The novel application of the 2-tuple linguistic representation identifies fuzzy association rules in a temporal
Ahmadi, Samad +3 more
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A GENERAL SURVEY ON FREQUENT PATTERN MINING USING GENETIC ALGORITHM [PDF]
ICTACT Journal on Soft Computing, 2012 In recent years, data mining is an important aspect for generating association rules among the large number of itemsets. Association rule mining is one of the techniques in data mining that that has two sub processes. First, the process called as finding
K. Poornamala, R. Lawrance
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IEEE Access, 2022 Recent studies have established the potential of classifiers designed using association rule mining methods. The current study proposes such an associative classifier to efficiently detect dengue fever using gene expression data. Labelled gene expression
Diptaraj Sen +5 more
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Application of Association Rule Mining and Mining Sequential Patterns on Crm PT. Armada International Motor [PDF]
, 2018 Keeping in touch with customers is a step that must be done by the company to increase customer loyalty. CRM is a set of processes to acquire, maintain and enhance the values for customer satisfaction for the continued growth of corporate profits. With
Setiyawati, N. (Nina)
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Online association rule mining [PDF]
Proceedings of the 1999 ACM SIGMOD international conference on Management of data, 1999 We present a novel algorithm to compute large itemsets online. The user is free to change the support threshold any time during the first scan of the transaction sequence. The algorithm maintains a superset of all large itemsets and for each itemset a shrinking, deterministic interval on its support.
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Association Mining in Database Machine [PDF]
, 2011 Association rule is wildly used in most of the data mining technologies. Apriori algorithm is the fundamental association rule mining algorithm. FP-growth tree algorithm improves the performance by reduce the generation of the frequent item sets. Simplex
Jiao, Jindou
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IEEE AccessNumerical association rule mining (NARM) is an extended version of association rule mining that determines association rules in numerical data items through distribution, discretization, and optimization methods.
Minakshi Kaushik +4 more
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Adaptive-Miner: an efficient distributed association rule mining algorithm on Spark
Journal of Big Data, 2018 Extraction of valuable data from extensive datasets is a standout amongst the most vital exploration issues. Association rule mining is one of the highly used methods for this purpose.
Sanjay Rathee, Arti Kashyap
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Hiding Sensitive Frequent Itemsets over Privacy Preserving Distributed Data [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2013 Data mining is the process of extracting hidden patterns from data. One of the most important activities in data mining is the association rule mining and the new head for data mining research area is privacy of mining.
Alaa Jumaa, Sufyan Al-Janabi, Nazar Ali
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