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» Query Selectivity Estimation via Data Mining
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SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
12 years 12 months ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
PODS
2010
ACM
215views Database» more  PODS 2010»
15 years 2 months ago
An optimal algorithm for the distinct elements problem
We give the first optimal algorithm for estimating the number of distinct elements in a data stream, closing a long line of theoretical research on this problem begun by Flajolet...
Daniel M. Kane, Jelani Nelson, David P. Woodruff
IADIS
2008
14 years 11 months ago
Information Retrieval with Cluster Genetic
This article presents an online cluster using genetic algorithms to increase information retrieval efficiency. The Information Retrieval (IR) is based on the grouping of documents...
José Luis Castillo Sequera, José Ra&...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 3 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
ITCC
2002
IEEE
15 years 2 months ago
Improve Precategorized Collection Retrieval by Using Supervised Term Weighting Schemes
The emergence of the world-wide-web has led to an increased interest in methods for searching for information. A key characteristic of many of the online document collections is t...
Ying Zhao, George Karypis