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ICDM
2005
IEEE
136views Data Mining» more  ICDM 2005»
13 years 11 months ago
Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis
We propose a new theoretical framework for generalizing the traditional notion of covariance. First, we discuss the role of pairwise cross-cumulants by introducing a cluster expan...
Tsuyoshi Idé
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
13 years 11 months ago
Optimizing Constraint-Based Mining by Automatically Relaxing Constraints
In constraint-based mining, the monotone and antimonotone properties are exploited to reduce the search space. Even if a constraint has not such suitable properties, existing algo...
Arnaud Soulet, Bruno Crémilleux
ICDM
2005
IEEE
143views Data Mining» more  ICDM 2005»
13 years 11 months ago
An Optimal Linear Time Algorithm for Quasi-Monotonic Segmentation
Monotonicity is a simple yet significant qualitative characteristic. We consider the problem of segmenting an array in up to K segments. We want segments to be as monotonic as po...
Daniel Lemire, Martin Brooks, Yuhong Yan
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
13 years 11 months ago
CLUMP: A Scalable and Robust Framework for Structure Discovery
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
Kunal Punera, Joydeep Ghosh
ICDM
2005
IEEE
187views Data Mining» more  ICDM 2005»
13 years 11 months ago
Parallel Algorithms for Distance-Based and Density-Based Outliers
An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism. Outlier detection has many applic...
Elio Lozano, Edgar Acuña