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WAIM
2005
Springer
13 years 10 months ago
Similarity Search with Implicit Object Features
Driven by many real applications, in this paper we study the problem of similarity search with implicit object features; that is, the features of each object are not pre-computed/e...
Yi Luo, Zheng Liu, Xuemin Lin, Wei Wang 0011, Jeff...
KDD
1999
ACM
166views Data Mining» more  KDD 1999»
13 years 9 months ago
CACTUS - Clustering Categorical Data Using Summaries
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...
LREC
2010
206views Education» more  LREC 2010»
13 years 6 months ago
Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain
In this paper we evaluate the performance of multilabel classification algorithms on the EUR-Lex database of legal documents of the European Union. On the same set of underlying d...
Eneldo Loza Mencía, Johannes Fürnkranz
BMCBI
2007
237views more  BMCBI 2007»
13 years 5 months ago
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Limin Fu, Enzo Medico
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