63 search results - page 8 / 13 » Top-k Set Similarity Joins |
MTA
2007
13 years 7 months ago
2007
Complex multimedia queries, aiming to retrieve from large databases those objects that best match the query specification, are usually processed by splitting them into a set of m ...
SIGIR
2012
ACM
11 years 10 months ago
2012
ACM
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
SIGMOD
2010
ACM
14 years 9 days ago
2010
ACM
We investigate the problem of creating and analyzing samples of relational databases to find relationships between string-valued attributes. Our focus is on identifying attribute...
TKDE
2012
11 years 10 months ago
2012
—Preparing a data set for analysis is generally the most time consuming task in a data mining project, requiring many complex SQL queries, joining tables and aggregating columns....
ICTAI
2009
IEEE
14 years 2 months ago
2009
IEEE
Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics...