Results 141 to 150 of about 400,771 (185)

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   +5 more
openaire   +1 more source

Distributed Association Rule Mining

2005
Data mining is an iterative and interactive process that explores and analyzes voluminous digital data to discover valid, novel, and meaningful patterns (Mohammed, 1999). Since digital data may have terabytes of records, data mining techniques aim to find patterns using computationally efficient techniques.
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith   +2 more
openaire   +1 more source

Association Rules Mining

SN Computer Science, 2021
Leila HAMDAD, Karima BENATCHBA
openaire   +1 more source

Mining Negative Association Rules

IOSR Journal of Computer Engineering, 2012
Association rule mining is a data mining task that discovers associations among items in a transactional database. Typical association rules consider only items enumerated in transactions. Such rules are referred to as positive association rules. Negative association rules also consider the same items, but in addition consider negated items (i.e ...
openaire   +1 more source

Subjective Association Rule Mining

Proceedings of the 2018 10th International Conference on Machine Learning and Computing, 2018
Human behavior is complex and ambiguous. This study investigates how human beings consider two significant elements of discrete items: one side is their preference ranking relationships, while the other is their preferred temporal relationships. The development of a means of deriving valuable information from collected user opinions of these two ...
Pu-Tai Yang, Kai-Hao Yang, Ching-Chi Chen, Shwu-Min Horng   +3 more
openaire   +1 more source

Rare Association Rule Mining

2010
The notion of finding rare association rules is like finding precious gems in an open field; it is a daunting task but, if successful, it is very rewarding. Association rule mining systems, such as Apriori, generally employ an exhaustive search algorithm.
Yun Sing Koh, Nathan Rountree
openaire   +1 more source

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
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

Mining Vague Association Rules

2007
In many online shopping applications, traditional Association Rule (AR) mining has limitations as it only deals with the items that are sold but ignores the items that are almost sold. For example, those items that are put into the basket but not checked out.
An Lu, Yiping Ke, James Cheng, Wilfred Ng   +3 more
openaire   +1 more source

Distributed Association Rule Mining

2009
Data mining is an iterative and interactive process that explores and analyzes voluminous digital data to discover valid, novel, and meaningful patterns (Mohammed, 1999). Since digital data may have terabytes of records, data mining techniques aim to find patterns using computationally efficient techniques.
openaire   +1 more source