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IISWC
2006
IEEE
15 years 10 months ago
An Architectural Characterization Study of Data Mining and Bioinformatics Workloads
— Data mining is the process of automatically finding implicit, previously unknown, and potentially useful information from large volumes of data. Recent advances in data extrac...
Berkin Özisikyilmaz, Ramanathan Narayanan, Jo...
DASFAA
2010
IEEE
127views Database» more  DASFAA 2010»
15 years 4 months ago
PGP-mc: Towards a Multicore Parallel Approach for Mining Gradual Patterns
Gradual patterns highlight complex order correlations of the form “The more/less X, the more/less Y”. Only recently algorithms have appeared to mine efficiently gradual rules. ...
Anne Laurent, Benjamin Négrevergne, Nicolas...
AMR
2007
Springer
159views Multimedia» more  AMR 2007»
15 years 10 months ago
Automatically Detecting Members and Instrumentation of Music Bands Via Web Content Mining
Abstract. In this paper, we present an approach to automatically detecting music band members and instrumentation using web content mining techniques. To this end, we combine a nam...
Markus Schedl, Gerhard Widmer
PAKDD
2005
ACM
124views Data Mining» more  PAKDD 2005»
15 years 10 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
KDD
1999
ACM
145views Data Mining» more  KDD 1999»
15 years 8 months ago
Discovery of Fraud Rules for Telecommunications - Challenges and Solutions
Many fraud analysis systemshave at their heart a rule-based enginefor generatingalertsaboutsuspiciousbehaviors.The rules in the systemareusually basedon expert knowledge. Automati...
Saharon Rosset, Uzi Murad, Einat Neumann, Yizhak I...