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SDM
2011
SIAM
218views Data Mining» more  SDM 2011»
14 years 10 months ago
Segmented nestedness in binary data
A binary matrix is fully nested if its columns form a chain of subsets; that is, any two columns are ordered by the subset relation, where we view each column as a subset of the r...
Esa Junttila, Petteri Kaski
WWW
2006
ACM
16 years 7 months ago
Time-dependent semantic similarity measure of queries using historical click-through data
It has become a promising direction to measure similarity of Web search queries by mining the increasing amount of clickthrough data logged by Web search engines, which record the...
Qiankun Zhao, Steven C. H. Hoi, Tie-Yan Liu, Soura...
MLDM
2007
Springer
16 years 1 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
KDD
1998
ACM
140views Data Mining» more  KDD 1998»
15 years 11 months ago
Blurring the Distinction between Command and Data in Scientific KDD
We have been working on two different KDD systems for scientific data. One system involves comparative genomics, where the database contains more than 60,000 plant gene and protei...
John V. Carlis, Elizabeth Shoop, Scott Krieger
PKDD
2000
Springer
144views Data Mining» more  PKDD 2000»
15 years 10 months ago
Fast Hierarchical Clustering Based on Compressed Data and OPTICS
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Markus M. Breunig, Hans-Peter Kriegel, Jörg S...