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» On Multiple Query Optimization in Data Mining
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WWW
2010
ACM
14 years 2 months ago
Large-scale bot detection for search engines
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
BTW
2009
Springer
132views Database» more  BTW 2009»
14 years 10 days ago
A Bayesian Approach to Estimating the Selectivity of Conjunctive Predicates
: Cost-based optimizers in relational databases make use of data statistics to estimate intermediate result cardinalities. Those cardinalities are needed to estimate access plan co...
M. Heimel, Volker Markl, Keshava Murthy
CIKM
2010
Springer
13 years 6 months ago
Improved index compression techniques for versioned document collections
Current Information Retrieval systems use inverted index structures for efficient query processing. Due to the extremely large size of many data sets, these index structures are u...
Jinru He, Junyuan Zeng, Torsten Suel
ICDE
1997
IEEE
114views Database» more  ICDE 1997»
14 years 9 months ago
Modeling Multidimensional Databases
We propose a data model and a few algebraic operations that provide semantic foundation to multidimensional databases. The distinguishing feature of the proposed model is the symm...
Rakesh Agrawal, Ashish Gupta, Sunita Sarawagi
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
11 years 10 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang