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ICDE
1999
IEEE
183views Database» more  ICDE 1999»
16 years 8 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
LCPC
2005
Springer
16 years 7 days ago
Code Transformations for One-Pass Analysis
With the growing popularity of streaming data model, processing queries over streaming data has become an important topic. Streaming data has received attention in a number of comm...
Xiaogang Li, Gagan Agrawal
SDM
2009
SIAM
105views Data Mining» more  SDM 2009»
16 years 3 months ago
Exploiting Semantic Constraints for Estimating Supersenses with CRFs.
The annotation of words and phrases by ontology concepts is extremely helpful for semantic interpretation. However many ontologies, e.g. WordNet, are too fine-grained and even hu...
Gerhard Paaß, Frank Reichartz
177
Voted
TKDE
2008
178views more  TKDE 2008»
15 years 6 months ago
Efficient Similarity Search over Future Stream Time Series
With the advance of hardware and communication technologies, stream time series is gaining ever-increasing attention due to its importance in many applications such as financial da...
Xiang Lian, Lei Chen 0002
CRIWG
2004
15 years 8 months ago
SaGISC: A Geo-Collaborative System
The production of geological mapping by conventional processes is a complex work of data gathering and integration, along with expert and team analysis. This process is very time c...
Paula André, Pedro Antunes
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