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Integrating classification and association rule mining
- In Proc of KDD
, 1998
"... Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the database that satisfy some minimum support and minimum confidence constraints. For association rule mining, the target of di ..."
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Cited by 578 (21 self)
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Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the database that satisfy some minimum support and minimum confidence constraints. For association rule mining, the target
ASSOCIATION RULE MINING
"... In fuzzy classification of high-dimensional datasets, the number of fuzzy rules increases exponentially with the increase of attributes. Fuzzy association rule mining with appropriate threshold values can help to design a fuzzy classifier by significantly decreasing the number of interesting rules. ..."
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In fuzzy classification of high-dimensional datasets, the number of fuzzy rules increases exponentially with the increase of attributes. Fuzzy association rule mining with appropriate threshold values can help to design a fuzzy classifier by significantly decreasing the number of interesting rules
Combined Association Rule Mining
"... Abstract. This paper proposes an algorithm to discover novel asso-ciation 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 whi ..."
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Cited by 4 (1 self)
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-actionable attributes, the actions corresponding to a preferred class can be performed directly. However, standard association rule min-ing algorithms encounter many difficulties when applied to combined association rule mining, and hence new algorithms have to be developed for combined association rule mining
Multiobjective Association Rule Mining
"... Abstract. This paper discusses the application of evolutionary multiobjective optimization (EMO) to association rule mining. We focus our attention especially on classification rule mining where the consequent part of each rule is a class label. First we briefly explain evolutionary multiobjective c ..."
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Cited by 1 (0 self)
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Abstract. This paper discusses the application of evolutionary multiobjective optimization (EMO) to association rule mining. We focus our attention especially on classification rule mining where the consequent part of each rule is a class label. First we briefly explain evolutionary multiobjective
Online Association Rule Mining.
, 1998
"... Abstract We present a novel algorithm to compute large itemsets online. The user is free to change the support threshold any time during the rst scan of the transaction sequence. The algorithm maintains a superset of all large itemsets and for each itemset a shrinking, deterministic interval on its ..."
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Cited by 101 (0 self)
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Abstract We present a novel algorithm to compute large itemsets online. The user is free to change the support threshold any time during the rst 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. After at most 2 scans the algorithm terminates with the precise support for each large itemset. Typically our algorithm is by an order of magnitude more memory e cient than Apriori or DIC.
Approximate Association Rule Mining
- in Proceedings of the Florida Arti Intelligence Research Symposium
, 2001
"... Association rule algorithms typically only identify patterns that occur in the original form throughout the database. In databases which contain many small variations in the data, potentially important discoveries may be ignored as a result. In this paper, we describe an associate rule mining algo ..."
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Cited by 9 (0 self)
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Association rule algorithms typically only identify patterns that occur in the original form throughout the database. In databases which contain many small variations in the data, potentially important discoveries may be ignored as a result. In this paper, we describe an associate rule mining
Association Rule Mining: A Survey
"... Abstract: Association Rule Mining (ARM) has been the area of interest for many researchers for a long time and continues to be the same. It is one of the important tasks of data mining. It aims at discovering relationships among various items in the database. The objective of this paper is to presen ..."
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Abstract: Association Rule Mining (ARM) has been the area of interest for many researchers for a long time and continues to be the same. It is one of the important tasks of data mining. It aims at discovering relationships among various items in the database. The objective of this paper
Privacy Preserving Association Rule Mining
- Proc. of 12th Intl. Workshop on Research Issues in Data Engineering (RIDE
, 2002
"... The current trend in the application space towards systems of loosely coupled and dynamically bound components that enables just-in-time integration jeopardizes the security of information that is shared between the broker, the requester, and the provider at runtime. In particular, new advances in d ..."
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Cited by 44 (2 self)
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, the association rule mining. We introduce new metrics in order to demonstrate how security issues can be taken into consideration in the general framework of association rule mining, and we show that the complexity of the new heuristics is similar to this of the original algorithms.
An Enhancement of Association Rule Mining Algorithm
"... Abstract- One of the well-researched and most important techniques of mining data is Association Rule Mining. Association Rules as the name itself indicates includes finding correlations among sets of items in transaction database. Most famous algorithm of association rule mining is Apriori is used ..."
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Abstract- One of the well-researched and most important techniques of mining data is Association Rule Mining. Association Rules as the name itself indicates includes finding correlations among sets of items in transaction database. Most famous algorithm of association rule mining is Apriori is used
Privacy Preserving Association Rule Mining in Vertically Partitioned Data
- In The Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, 2002
"... Privacy considerations often constrain data mining projects. This paper addresses the problem of association rule mining where transactions are distributed across sources. Each site holds some attributes of each transaction, and the sites wish to collaborate to identify globally valid association ru ..."
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Cited by 295 (21 self)
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Privacy considerations often constrain data mining projects. This paper addresses the problem of association rule mining where transactions are distributed across sources. Each site holds some attributes of each transaction, and the sites wish to collaborate to identify globally valid association
Results 1 - 10
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22,831