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» Improving the SLA Algorithm Using Association Rules
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JDWM
2007
90views more  JDWM 2007»
15 years 12 days ago
Mining for Mutually Exclusive Items in Transaction Databases
Association rule mining is a popular task that involves the discovery of co-occurences of items in transaction databases. Several extensions of the traditional association rule mi...
George Tzanis, Christos Berberidis
WAIM
2004
Springer
15 years 5 months ago
Mining Inheritance Rules from Genealogical Data
Data mining extracts implicit, previously unknown and potentially useful information from databases. Many approaches have been proposed to extract information, and one of the most ...
Yen-Liang Chen, Jing-Tin Lu
CLA
2007
15 years 1 months ago
ZART: A Multifunctional Itemset Mining Algorithm
Abstract. In this paper, we present and detail a multifunctional itemset mining algorithm called Zart, which is based on the Pascal algorithm. Zart shows a number of additional fea...
Laszlo Szathmary, Amedeo Napoli, Sergei O. Kuznets...
SAMT
2007
Springer
136views Multimedia» more  SAMT 2007»
15 years 6 months ago
Automatic Recommendations for Machine-Assisted Multimedia Annotation: A Knowledge-Mining Approach
Recommender systems apply knowledge discovery techniques to help in finding associated information. In this paper, we investigate the use of association rule mining as an underlyi...
Mónica Díez, Paulo Villegas
93
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PAKDD
2005
ACM
124views Data Mining» more  PAKDD 2005»
15 years 6 months ago
Finding Sporadic Rules Using Apriori-Inverse
We define sporadic rules as those with low support but high confidence: for example, a rare association of two symptoms indicating a rare disease. To find such rules using the w...
Yun Sing Koh, Nathan Rountree