ARMS Algorithm: From Association Rules to Actions
Private Actions under the Suitability and Supervision Duties of Exchange and Dealer Association Rules: The Fraud Requirement
... Such claims have most frequently involved violations of the "suitability" and "supervision" rules of the New York Stock Exchange (NYSE)5 and the National A[r] ...
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PARMA: A Parallel Randomized Algorithm for Approximate Association Rules Mining in MapReduce
... The performance evaluation of PARMA was done using Ama- zon’s Elastic MapReduce platform. In particular, we used instance type m1.xlarge, which contains roughly 17GB of memory and 6.5 EC2 compute units. For data, we ...
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Algorithm to Mine Negative Association Rules
... database. Association rules have been extensively studied in the literature for their usefulness in many application domains such as recommender systems, diagnosis decisions support, telecommunication, ...
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Improved Apriori Algorithm for Mining Association Rules
... emerged from various industries. People need to dig out useful information from these vast amounts of information, so the birth of data ...knowledge from large amounts of data stored in a database, ...
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An Efficient Algorithm for Mining Coherent Association Rules
... finding association rules with the predefined minimum support from transaction ...derived rules convey common-sense knowledge. Mining association rules without minimum support ...
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An Algorithm for Association Rules Mining using Apriori based on Genetic Algorithm
... Apriori algorithm plays an essential role in deriving frequent itemsets and then extracting association rules out of ...finding association rules, and is widely used in various ...
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Skirmish Rules for Small Arms Competition. American Civil War Shooting Association, Inc.
... cap from the normal shooting position, while the firearm is aimed down range, and a second cap while the firearm is pointed at a safety flag or at grass or dirt near the muzzle but down range from the ...
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Mining & Optimization of Association Rules Using Effective Algorithm
... new algorithm for efficiently mining positive and negative association rules in databases and optimization of positive and negative association rule using genetic ...different from ...
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An Efficient Algorithm for Hierarchical Online Mining of Association Rules
... of association rules generated, while varying the confidence threshold mincon f, has been collected for three types of ...of rules generated is seen to decrease with increasing mincon f, as that ...
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An Effcient Algorithm for Mining Association Rules In Massive Datasets
... Apriori algorithm is a classical algorithm for association rule ...mining association rules and their mutations are proposed on the basis of Apriori ...Apriori-like algorithm ...
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Fuzzy Inference Algorithm based on Quantitative Association Rules
... inference rules from the data, in this paper a fuzzy inference algorithm based on quantitative association rule (FI-QAR) is ...discretization algorithm based on an improved clustering ...
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An Algorithm of Mining Association Rules Based on Granular Computing
... From the perspective of particle size for mining association rules, the superset of frequent patterns can be seen as a "coarse", so the sub-frequent patterns can be seen as "fine", ...
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Evolving temporal fuzzy association rules from quantitative data with a multi objective evolutionary algorithm
... mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is ...temporal association rules that occur more frequently in areas of a ...
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DISCOVERY AND ANALYSIS OF JOB ELIGIBILITY AS ASSOCIATION RULES BY APRIORI ALGORITHM
... applications association rules. In this paper, association rule mining method is applied to discover and analyze eligibility criteria for jobs from a large set of data for choosing career and ...
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Improvement and Simulation of Data Mining Algorithm Based on Association Rules
... effective algorithm should be integrated in order to solve this problem and improve the computing ...information from the large amounts of data is already a very concerned topic, which promotes the ...
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An Effective Mining Algorithm for Weighted Association Rules in Communication Networks
... range from 100 to ...Fig.6. From this figure, we can see the execution time of WARM is about 78% to 93% and 33% to 73% faster than MINWAL and weighted FP-tree, ...
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Determination of Temporal Association Rules Pattern Using Apriori Algorithm
... Apriori algorithm can be used to find association ...Apriori algorithm is used to find frequent itemset candidates who meet the support ...temporal association rules method. The ...
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“(ARBSI): Proposed algorithm association rules based on scanning item sets
... mining from its original ...the association rules based on the updates that have taken place on the original data in its original ...This algorithm also copies all updates that might take ...
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A Review on Mining Frequent Patterns and Association Rules Using Apriori Algorithm
... its association rule of different item sets. An Apriori Algorithm may play a vital role for finding these patterns from huge database so that various sectors can make better business decisions ...
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Association Rules Extraction using Multi-objective Feature of Genetic Algorithm
... Those rules having support and confidence greater than or equal to the user specified criteria are extracted by association rule discovery ...Extracting Association Rules is not full of ...
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