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PODS
1998
ACM
134views Database» more  PODS 1998»
15 years 9 months ago
A New Framework For Itemset Generation
The problem of finding association rules in a large database of sales transactions has been widely studied in the literature, We discuss some of the weaknessesof the large itemset...
Charu C. Aggarwal, Philip S. Yu
KDD
1997
ACM
154views Data Mining» more  KDD 1997»
15 years 8 months ago
Autonomous Discovery of Reliable Exception Rules
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
Einoshin Suzuki
HICSS
2005
IEEE
164views Biometrics» more  HICSS 2005»
15 years 10 months ago
An Efficient Technique for Frequent Pattern Mining in Real-Time Business Applications
Association rule mining in real-time is of increasing thrust in many business applications. Applications such as e-commerce, recommender systems, supply-chain management and group...
Rajanish Dass, Ambuj Mahanti
DAWAK
2010
Springer
15 years 5 months ago
Mining Closed Itemsets in Data Stream Using Formal Concept Analysis
Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data...
Anamika Gupta, Vasudha Bhatnagar, Naveen Kumar
JDWM
2010
139views more  JDWM 2010»
15 years 3 months ago
Mining Frequent Generalized Patterns for Web Personalization in the Presence of Taxonomies
The Web is a continuously evolving environment, since its content is updated on a regular basis. As a result, the traditional usagebased approach to generate recommendations that ...
Panagiotis Giannikopoulos, Iraklis Varlamis, Magda...