Results 31 to 40 of about 400,771 (185)
Evolving temporal fuzzy association rules from quantitative data with a multi-objective evolutionary algorithm [PDF]
, 2011 A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifies numerous temporal association rules that occur more frequently in areas ...
C. Carmona +8 more
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Journal of King Saud University: Computer and Information Sciences, 2018 Due to the dynamic updating of real time spatial databases, the preservation of spatial association rules for dynamic database is a vital issue because the updates may not only invalidate some existing rules but also make other rules relevant ...
Y. Jayababu, G.P.S. Varma, A. Govardhan
doaj +1 more source
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.
openaire +1 more source
Class Association Rules Mining based Rough Set Method [PDF]
, 2015 This paper investigates the mining of class association rules with rough set approach. In data mining, an association occurs between two set of elements when one element set happen together with another. A class association rule set (CARs) is a subset of
Slimani, Thabet
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A RESEARCH ON SPATIAL TOPOLOGICAL ASSOCIATION RULES MINING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Spatial association rules mining is a process of acquiring information and knowledge from large databases. Due to the nature of geographic space and the complexity of spatial objects and relations, the classical association rule mining methods are not ...
J. Chen, S. Liu, P. Zhang, Z. Sha
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Efficient Analysis of Pattern and Association Rule Mining Approaches
, 2014 The process of data mining produces various patterns from a given data source. The most recognized data mining tasks are the process of discovering frequent itemsets, frequent sequential patterns, frequent sequential rules and frequent association rules.
Lazzez, Amor, Slimani, Thabet
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Usage Apriori and clustering algorithms in WEKA tools to mining dataset of traffic accidents
Journal of Information and Telecommunication, 2018 The aim of this study is finding approaches for investigating association rules mining algorithms and clustering to offer new rules from a broad set of discovered rules which taken from traffic accident data at Alghat Provence in KSA.
Faisal Mohammed Nafie Ali +1 more
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A Technique to Association Rule Mining on Multiple Datasets
Journal of Advances in Information Technology, 2014 This research aims at studying the method for association rule mining on multiple datasets. Current with technology and information systems enabling agencies or organization has a data-storage system, but the problem is that those with a larger data set,
Nuntawut Kaoungku +2 more
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Genetic Based Method for Mining Association Rules [PDF]
Engineering and Technology Journal, 2013 In this paper genetic based method proposed for mining association rule, the benefit of this method it mining association rule in one step and it does not require the user-specified threshold of minimum support and minimum confidence deciding suitable ...
Bushra Khireibut Jassim
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Association Rules Mining [PDF]
, 2009 Cílem této bakalářské práce je návrh a implementace aplikace umožňující porovnávat výkonnost a časovou náročnost zvolených algoritmů pro dolování frekventovaných množin a asociačních pravidel.
Dvořák, Michal
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