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» Data Mining Using Cultural Algorithms and Regional Schemata
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SADM
2008
90views more  SADM 2008»
14 years 9 months ago
ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns
: In this paper, we introduce the concept of -orthogonal patterns to mine a representative set of graph patterns. Intuitively, two graph patterns are -orthogonal if their similarit...
Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, J&e...
CIKM
2010
Springer
14 years 8 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
15 years 1 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
ICDM
2008
IEEE
155views Data Mining» more  ICDM 2008»
15 years 4 months ago
Alert Detection in System Logs
We present Nodeinfo, an unsupervised algorithm for anomaly detection in system logs. We demonstrate Nodeinfo’s effectiveness on data from four of the world’s most powerful sup...
Adam J. Oliner, Alex Aiken, Jon Stearley
90
Voted
INCDM
2007
Springer
97views Data Mining» more  INCDM 2007»
15 years 3 months ago
Clustering by Random Projections
Abstract. Clustering algorithms for multidimensional numerical data must overcome special difficulties due to the irregularities of data distribution. We present a clustering algo...
Thierry Urruty, Chabane Djeraba, Dan A. Simovici