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» Mining Very Large Databases
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103
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SIGMETRICS
1999
ACM
15 years 8 months ago
Improving Performance of Data Analysis in Data Warehouses: A Methodology and Case Study
Data analysis in very large databases requires innovative techniques. In an exploration and discovery scenario, the performance of standard SQL techniques can be unacceptable. Thi...
Janet Siebert
149
Voted
BIOINFORMATICS
2011
14 years 7 months ago
RINQ: Reference-based Indexing for Network Queries
We consider the problem of similarity queries in biological network databases. Given a database of networks, similarity query returns all the database networks whose similarity (i...
Günhan Gülsoy, Tamer Kahveci
151
Voted
VLDB
1998
ACM
110views Database» more  VLDB 1998»
15 years 7 months ago
Massive Stochastic Testing of SQL
Deterministic testing of SQL database systems is human intensive and cannot adequately cover the SQL input domain. A system (RAGS), was built to stochastically generate valid SQL ...
Donald R. Slutz
134
Voted
WWW
2010
ACM
15 years 10 months ago
Collaborative location and activity recommendations with GPS history data
With the increasing popularity of location-based services, such as tour guide and location-based social network, we now have accumulated many location data on the Web. In this pap...
Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Y...
122
Voted
GFKL
2007
Springer
123views Data Mining» more  GFKL 2007»
15 years 9 months ago
Projecting Dialect Distances to Geography: Bootstrap Clustering vs. Noisy Clustering
Abstract. Dialectometry produces aggregate distance matrices in which a distance is specified for each pair of sites. By projecting groups obtained by clustering onto geography on...
John Nerbonne, Peter Kleiweg, Wilbert Heeringa, Fr...