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» Algorithms for Spatial Outlier Detection
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JCP
2008
133views more  JCP 2008»
13 years 5 months ago
DDSC : A Density Differentiated Spatial Clustering Technique
Finding clusters with widely differing sizes, shapes and densities in presence of noise and outliers is a challenging job. The DBSCAN is a versatile clustering algorithm that can f...
Bhogeswar Borah, Dhruba K. Bhattacharyya
AUSDM
2007
Springer
222views Data Mining» more  AUSDM 2007»
13 years 12 months ago
CURIO: A Fast Outlier and Outlier Cluster Detection Algorithm for Large Datasets
Aaron Ceglar, John F. Roddick, David M. W. Powers
ICDM
2008
IEEE
179views Data Mining» more  ICDM 2008»
14 years 6 days ago
Detection and Exploration of Outlier Regions in Sensor Data Streams
Sensor networks play an important role in applications concerned with environmental monitoring, disaster management, and policy making. Effective and flexible techniques are need...
Conny Franke, Michael Gertz
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
IC3
2009
13 years 3 months ago
Local Subspace Based Outlier Detection
Abstract. Existing studies in outlier detection mostly focus on detecting outliers in full feature space. But most algorithms tend to break down in highdimensional feature spaces b...
Ankur Agrawal