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SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 6 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
ICDE
2006
IEEE
144views Database» more  ICDE 2006»
14 years 6 months ago
Approximately Processing Multi-granularity Aggregate Queries over Data Streams
Aggregate monitoring over data streams is attracting more and more attention in research community due to its broad potential applications. Existing methods suffer two problems, 1...
Shouke Qin, Weining Qian, Aoying Zhou
SYRCODIS
2008
184views Database» more  SYRCODIS 2008»
13 years 6 months ago
Towards Cost-based Query Optimization in Native XML Database Management Systems
In the last few years, XML became a de-facto standard for the exchange of structured and semi-structured data. The database research community took this development into account b...
Andreas M. Weiner, Christian Mathis, Theo Här...
CIKM
2006
Springer
13 years 9 months ago
Multi-evidence, multi-criteria, lazy associative document classification
We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...
TKDE
2008
125views more  TKDE 2008»
13 years 5 months ago
Discovering and Explaining Abnormal Nodes in Semantic Graphs
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Shou-de Lin, Hans Chalupsky