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KDD
2012
ACM
166views Data Mining» more  KDD 2012»
13 years 2 months ago
Selecting a characteristic set of reviews
Online reviews provide consumers with valuable information that guides their decisions on a variety of fronts: from entertainment and shopping to medical services. Although the pr...
Theodoros Lappas, Mark Crovella, Evimaria Terzi
ICCV
2011
IEEE
13 years 11 months ago
iGroup : Weakly supervised image and video grouping
We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled tra...
Andrew Gilbert, Richard Bowden
BMCBI
2011
14 years 6 months ago
Tree Pruner: An efficient tool for selecting data from a biased genetic database
Background: Large databases of genetic data are often biased in their representation. Thus, selection of genetic data with desired properties, such as evolutionary representation ...
Mohan Krishnamoorthy, Pragneshkumar Patel, Mira Di...
VLDB
2007
ACM
91views Database» more  VLDB 2007»
15 years 12 months ago
On Dominating Your Neighborhood Profitably
Recent research on skyline queries has attracted much interest in the database and data mining community. Given a database, an object belongs to the skyline if it cannot be domina...
Cuiping Li, Anthony K. H. Tung, Wen Jin, Martin Es...
DSN
2009
IEEE
15 years 6 months ago
Spam detection in voice-over-IP calls through semi-supervised clustering
In this paper, we present an approach for detection of spam calls over IP telephony called SPIT in VoIP systems. SPIT detection is different from spam detection in email in that t...
Yu-Sung Wu, Saurabh Bagchi, Navjot Singh, Ratsamee...