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ADC
1999
Springer
97views Database» more  ADC 1999»
15 years 9 months ago
Pseudo-Naive Evaluation
We introduce pseudo-naive evaluation, a method for execution of mixed top-down/bottom-up logic programs and deductive databases. The method is intermediate in power between naive ...
Donald A. Smith, Mark Utting
PVLDB
2008
99views more  PVLDB 2008»
15 years 4 months ago
Industry-scale duplicate detection
Duplicate detection is the process of identifying multiple representations of a same real-world object in a data source. Duplicate detection is a problem of critical importance in...
Melanie Weis, Felix Naumann, Ulrich Jehle, Jens Lu...
DMKD
2004
ACM
133views Data Mining» more  DMKD 2004»
15 years 10 months ago
Mining complex matchings across Web query interfaces
To enable information integration, schema matching is a critical step for discovering semantic correspondences of attributes across heterogeneous sources. As a new attempt, this p...
Bin He, Kevin Chen-Chuan Chang, Jiawei Han
VLDB
2001
ACM
114views Database» more  VLDB 2001»
15 years 9 months ago
Distinct Sampling for Highly-Accurate Answers to Distinct Values Queries and Event Reports
Estimating the number of distinct values is a wellstudied problem, due to its frequent occurrence in queries and its importance in selecting good query plans. Previous work has sh...
Phillip B. Gibbons
BMCBI
2010
143views more  BMCBI 2010»
15 years 5 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli