Results 51 to 60 of about 400,771 (185)
Granular association rules for multi-valued data
, 2013 Granular association rule is a new approach to reveal patterns hide in many-to-many relationships of relational databases. Different types of data such as nominal, numeric and multi-valued ones should be dealt with in the process of rule mining.
Min, Fan, Zhu, William
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Mining top-k granular association rules for recommendation
, 2013 Recommender systems are important for e-commerce companies as well as researchers. Recently, granular association rules have been proposed for cold-start recommendation.
Min, Fan, Zhu, William
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A PROPOSAL OF FUZZY MULTIDIMENSIONAL ASSOCIATION RULES
Jurnal Informatika, 2006 Association rules that involve two or more dimensions or predicates can be referred as multidimensional association rules. Rather than searching for frequent itemsets (as is done in mining single-dimensional association rules), in multidimensional ...
Rolly Intan
doaj
Efficiently mining association rules based on maximum single constraints
Vietnam Journal of Computer Science, 2017 A serious problem encountered during the mining of association rules is the exponential growth of their cardinality. Unfortunately, the known algorithms for mining association rules typically generate scores of redundant and duplicate rules. Thus, we not
Anh Tran, Tin Truong, Bac Le
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Proposed Algorithm for Extracting Association Rule Depend on Closed Frequent Itemset (EACFI) [PDF]
Engineering and Technology Journal, 2011 Association rules are important one of data mining activities. All algorithms of association rule mining consist of finding frequency of itemsets, which satisfy a minimum support threshold, and then compute confidence percentage for each k-itemsets to ...
Emad k. Jbbar, Yaser Munther
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A NOVEL ALGORITHM FOR ASSOCIATION RULE MINING FROM DATA WITH INCOMPLETE AND MISSING VALUES [PDF]
ICTACT Journal on Soft Computing, 2011 Missing values and incomplete data are a natural phenomenon in real datasets. If the association rules mine incomplete disregard of missing values, mistaken rules are derived.
K. Rameshkumar
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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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Mining Multiple Level Association Rules [PDF]
, 2009 Obor získávání znalostí z dat je poměrně mladý a stále více se rozvíjí. Tato bakalářská práce se zabývá problematikou dolování víceúrovňových asociačních pravidel. Diskutovány jsou čtyři metody dolování těchto pravidel.
Nachtnebl, Viktor
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INCREMENTAL RELATIONAL ASSOCIATION RULE MINING OF EDUCATIONAL DATA SETS
Studia Universitatis Babes-Bolyai: Series Informatica, 2018 Educational Data Mining is an attractive research field in which the underlying idea is that of bringing the data mining perspective into educational environments.
Liana Maria CRIVEI
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Analysis of the Correlation Between Factors Affecting Green Mining in Open-Pit Mines
Energy Exploration & ExploitationGreen mining is of great significance for the sustainable development of mines. However, the current green mine evaluation index system proposed in China is complex, and the intrinsic logical relationships between the indicators are not yet clear.
Yiyuan Cui +3 more
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