Results 221 to 230 of about 16,254 (263)

Mining Spatial Association Rules

2004
This paper focuses on finding spatial association rules. In the first part of the article the specifics of spatial databases are discussed and the existing methods for finding spatial association rules are reviewed. Also different classes of spatial relations used to express the relationships between objects in spatial databases are presented.
Robert Bembenik, Grzegorz Protaziuk
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Mining weighted association rules

Intelligent Data Analysis, 2001
Association rules are useful for determining correlations between items and have applications in marketing, financial and retail sectors. Lots of algorithms have been proposed for finding the association rules in databases. Most of these algorithms treat each item as uniformity.
Songfeng Lu, Heping Hu, Fan Li
openaire   +3 more sources

Mining for 4ft Association Rules

2000
An association rule [1] is an expression of the form X → Y where X and Y are sets of items. The intuitive meaning is that transactions (e.g. supermarket baskets) containing set X of items tend to contain set Y of items. Two measures of intensity of association rule are used, confidence C and support S.
Jan Rauch, Milan Simunek
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A Framework for Mining Association Rules

2005
Association rule mining is one of important data mining problems. In this paper, a framework for efficiently calculating frequent itemsets in voluminous data is presented. The algorithm FIT [LR] is a practical implemention of the framework. A theoretical comparison between FIT and Eclat [ZPOW] is also explored. The analysis asserts that the performance
Jun Luo, Sanguthevar Rajasekaran
openaire   +1 more source

Temporal Association Rule Mining

2015
A modified framework, that applies temporal association rule mining to financial time series, is proposed in this paper. The top four components stocks of Dow Jones Industrial Average DJIA in terms of highest daily volume and DJIA index time series, expressed in points are used to form the time-series database TSDB from 1994 to 2007.
Ting-Feng Tan, Qing-Guo Wang, Tian-He Phang, Xian Li, Jiangshuai Huang, Dan Zhang 0001   +5 more
openaire   +1 more source

Combined Association Rule Mining

2008
This paper proposes an algorithm to discover novel association rules, combined association rules. Compared with conventional association rule, this combined association rule allows users to perform actions directly. Combined association rules are always organized as rule sets, each of which is composed of a number of single combined association rules ...
Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang   +3 more
openaire   +1 more source

An Associative Memory for Association Rule Mining

2007 International Joint Conference on Neural Networks, 2007
Association rule mining is a thoroughly studied problem in data mining. Its solution has been aimed for by approaches based on different strategies involving, for instance, the use of novel data structures to represent the knowledge discovered, the transformation of the input data to speed up the process, the exploitation of the itemset properties ...
Vicente Oswaldo Baez Monroy, Simon O'Keefe   +1 more
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Sampling in association rule mining

SPIE Proceedings, 2004
A relation is a representation of a set, called the universe V, of entities by a set of tuples. Hence it is associated with a unique sub-lattice, called relation lattice, of the partition lattice of V. In this paper, we examine the relation lattices on V and a sample V'(a subset).
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MANET mining: Mining step association rules

2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2008
Mobile ad hoc network (MANET) is a collection of autonomous nodes or terminals that communicate with each other by forming a multihop radio network. These nodes maintain connectivity in a decentralized manner. MANET is characterized by a rapidly changed topology. As a result packets select different multi-hops paths to reach their destinations.
Ahmad Jabas, Rama Murtty Garimella, Ramachandram Sirandas   +2 more
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MANET Mining: Mining Temporal Association Rules

2008 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2008
A wireless ad hoc network (MANET) is a collection of autonomous nodes or terminals that communicate with each other by forming a multihop radio network and maintaining connectivity in a decentralized manner. MANET is characterized by a rapidly changed topology. As a result packets select different multi-hops paths to reach their destinations.
Ahmad Jabas, Rama Murtty Garimella, Ramachandram Sirandas   +2 more
openaire   +1 more source