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KDD
2012
ACM
235views Data Mining» more  KDD 2012»
11 years 11 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
SIGMOD
2008
ACM
131views Database» more  SIGMOD 2008»
14 years 9 months ago
Discovering topical structures of databases
The increasing complexity of enterprise databases and the prevalent lack of documentation incur significant cost in both understanding and integrating the databases. Existing solu...
Wensheng Wu, Berthold Reinwald, Yannis Sismanis, R...
SDM
2009
SIAM
143views Data Mining» more  SDM 2009»
14 years 6 months ago
Finding Representative Association Rules from Large Rule Collections.
One of the most well-studied problems in data mining is computing association rules from large transactional databases. Often, the rule collections extracted from existing datamin...
Warren L. Davis IV, Peter Schwarz, Evimaria Terzi
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 9 months ago
Mining data records in Web pages
A large amount of information on the Web is contained in regularly structured objects, which we call data records. Such data records are important because they often present the e...
Bing Liu, Robert L. Grossman, Yanhong Zhai
SIGMOD
2009
ACM
139views Database» more  SIGMOD 2009»
14 years 9 months ago
Vispedia: on-demand data integration for interactive visualization and exploration
Wikipedia is an example of the large, collaborative, semi-structured data sets emerging on the Web. Typically, before these data sets can be used, they must transformed into struc...
Bryan Chan, Justin Talbot, Leslie Wu, Nathan Sakun...