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» A Comparison of Two Approaches to Data Mining from Imbalance...
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SAC
2011
ACM
12 years 11 months ago
RuleGrowth: mining sequential rules common to several sequences by pattern-growth
Mining sequential rules from large databases is an important topic in data mining fields with wide applications. Most of the relevant studies focused on finding sequential rules a...
Philippe Fournier-Viger, Roger Nkambou, Vincent Sh...
WWW
2011
ACM
13 years 3 months ago
Geographical topic discovery and comparison
This paper studies the problem of discovering and comparing geographical topics from GPS-associated documents. GPSassociated documents become popular with the pervasiveness of loc...
Zhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang...
AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
13 years 10 months ago
Evaluation of Malware clustering based on its dynamic behaviour
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. ...
IV
2008
IEEE
296views Visualization» more  IV 2008»
14 years 3 months ago
Revealing Subnetwork Roles using Contextual Visualization: Comparison of Metabolic Networks
This article is addressing a recurrent problem in biology: mining newly built large scale networks. Our approach consists in comparing these new networks to well known ones. The v...
Romain Bourqui, Fabien Jourdan
SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
13 years 10 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang