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122
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KDD
2008
ACM
137views Data Mining» more  KDD 2008»
16 years 2 days ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
88
Voted
MIDDLEWARE
2007
Springer
15 years 5 months ago
A piggybacking approach to reduce overhead in sensor network gossiping
Many wireless sensor network protocols are employing gossipbased message dissemination, where nodes probabilistically forward messages, to reduce message overhead. We are concerne...
Ercan Ucan, Nathanael Thompson, Indranil Gupta
MOBIHOC
2008
ACM
15 years 11 months ago
Delegation forwarding
Mobile opportunistic networks are characterized by unpredictable mobility, heterogeneity of contact rates and lack of global information. Successful delivery of messages at low co...
Vijay Erramilli, Mark Crovella, Augustin Chaintrea...
AIRWEB
2005
Springer
15 years 5 months ago
Web Spam, Propaganda and Trust
Web spamming, the practice of introducing artificial text and links into web pages to affect the results of searches, has been recognized as a major problem for search engines. ...
Panagiotis Takis Metaxas, Joseph DeStefano
77
Voted
CONEXT
2009
ACM
15 years 23 days ago
FairTorrent: bringing fairness to peer-to-peer systems
Peer-to-Peer file-sharing applications suffer from a fundamental problem of unfairness. Free-riders cause slower download times for others by contributing little or no upload band...
Alex Sherman, Jason Nieh, Clifford Stein