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3DOR
2010
13 years 3 months ago
A Robust 3D Interest Points Detector Based on Harris Operator
With the increasing amount of 3D data and the ability of capture devices to produce low-cost multimedia data, the capability to select relevant information has become an interesti...
Ivan Sipiran, Benjamin Bustos
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
11 years 10 months ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...
SSDBM
2010
IEEE
166views Database» more  SSDBM 2010»
14 years 13 days ago
Bridging Workflow and Data Provenance Using Strong Links
Abstract. As scientists continue to migrate their work to computational methods, it is important to track not only the steps involved in the computation but also the data consumed ...
David Koop, Emanuele Santos, Bela Bauer, Matthias ...
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 8 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
14 years 8 months ago
Algorithms for discovering bucket orders from data
Ordering and ranking items of different types are important tasks in various applications, such as query processing and scientific data mining. A total order for the items can be ...
Aristides Gionis, Heikki Mannila, Kai Puolamä...