Results 231 to 240 of about 19,735 (267)
Some of the next articles are maybe not open access.
Mining Indirect Association Rules
2004A large database, such as POS data, could give us many insights about customer behavior. Many techniques and measures have been proposed to extract interesting rules. As the study of Association rule mining has proceeded, the rules about items that are not bought together at the same transaction have been regarded as important.
Shinichi Hamano, Masako Sato
openaire +2 more sources
An Extension to SQL for Mining Association Rules
Data Mining and Knowledge Discovery, 1998Data mining evolved as a collection of applicative problems and efficient solution algorithms relative to rather peculiar problems, all focused on the discovery of relevant information hidden in databases of huge dimensions. In particular, one of the most investigated topics is the discovery of association rules.
Meo, Rosa +2 more
openaire +3 more sources
Sampling in association rule mining
SPIE Proceedings, 2004A 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).
openaire +1 more source
A Bayesian Association Rule Mining Algorithm
2013 IEEE International Conference on Systems, Man, and Cybernetics, 2013This paper proposes a Bayesian association rule mining algorithm (BAR) which combines the Apriori association rule mining algorithm with Bayesian networks. Two interestingness measures of association rules: Bayesian confidence (BC) and Bayesian lift (BL) which measure conditional dependence and independence relationships between items are defined based
David Tian +10 more
openaire +1 more source
Mining Strongly Associated Rules
2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009One of the main tasks of KDTCM (knowledge discovery in Traditional Chinese Medicine) is discovering novel paired or grouped drugs from Chinese Medical Formula Database. Paired or grouped drugs, which are special combinations of two or more drugs? have strong efficacy.
openaire +1 more source
A Survey of Association-Rule Mining
2000The standard model for association-rule mining involves a set of "items" and a set of "baskets." The baskets contain items that some customer has purchased at the same time. The problem is to find pairs, or perhaps larger sets, of items that frequently appear together in baskets.
openaire +1 more source
2013
This chapter looks at the problem of finding any rules of interest that can be derived from a given dataset, not just classification rules as before. This is known as Association Rule Mining or Generalised Rule Induction. A number of measures of rule interestingness are defined and criteria for choosing between measures are discussed.
openaire +1 more source
This chapter looks at the problem of finding any rules of interest that can be derived from a given dataset, not just classification rules as before. This is known as Association Rule Mining or Generalised Rule Induction. A number of measures of rule interestingness are defined and criteria for choosing between measures are discussed.
openaire +1 more source
Association Rule Mining on Fragmented Database
2015Anonymization methods are an important tool to protect privacy. The goal is to release data while preventing individuals from being identified. Most approaches generalize data, reducing the level of detail so that many individuals appear the same.
Hamzaoui, Amel +3 more
openaire +2 more sources
2009
Data mining is a field encompassing study of the tools and techniques to assist humans in intelligently analyzing (mining) mountains of data. Data mining has found successful applications in many fields including sales and marketing, financial crime identification, portfolio management, medical diagnosis, manufacturing process management and health ...
Vasudha Bhatnagar, Sarabjeet Kochhar
openaire +1 more source
Data mining is a field encompassing study of the tools and techniques to assist humans in intelligently analyzing (mining) mountains of data. Data mining has found successful applications in many fields including sales and marketing, financial crime identification, portfolio management, medical diagnosis, manufacturing process management and health ...
Vasudha Bhatnagar, Sarabjeet Kochhar
openaire +1 more source
2005
Association Rule Mining (ARM) is concerned with how items in a transactional database are grouped together. It is commonly known as market basket analysis, because it can be likened to the analysis of items that are frequently put together in a basket by shoppers in a market. From a statistical point of view, it is a semiautomatic technique to discover
WOON, Yew-Kwong +2 more
openaire +1 more source
Association Rule Mining (ARM) is concerned with how items in a transactional database are grouped together. It is commonly known as market basket analysis, because it can be likened to the analysis of items that are frequently put together in a basket by shoppers in a market. From a statistical point of view, it is a semiautomatic technique to discover
WOON, Yew-Kwong +2 more
openaire +1 more source