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NETWORK
2008
233views more  NETWORK 2008»
13 years 5 months ago
WhozThat? evolving an ecosystem for context-aware mobile social networks
One of the most compelling social questions, which until now was left unanswered by current technology, is "Who's that?" This question is usually asked about a new ...
Aaron Beach, Mike Gartrell, Sirisha Akkala, Jack E...
DIMVA
2011
12 years 9 months ago
Reverse Social Engineering Attacks in Online Social Networks
Social networks are some of the largest and fastest growing online services today. Facebook, for example, has been ranked as the second most visited site on the Internet, and has b...
Danesh Irani, Marco Balduzzi, Davide Balzarotti, E...
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 6 months ago
Efficient anonymity-preserving data collection
The output of a data mining algorithm is only as good as its inputs, and individuals are often unwilling to provide accurate data about sensitive topics such as medical history an...
Justin Brickell, Vitaly Shmatikov
SEMWEB
2009
Springer
13 years 10 months ago
Semantic Web Service Composition in Social Environments
This paper describes how to generate compositions of semantic Web services using social trust information from user ratings of the services. We present a taxonomy of features, suc...
Ugur Kuter, Jennifer Golbeck
KDD
2009
ACM
232views Data Mining» more  KDD 2009»
14 years 6 months ago
Classification of software behaviors for failure detection: a discriminative pattern mining approach
Software is a ubiquitous component of our daily life. We often depend on the correct working of software systems. Due to the difficulty and complexity of software systems, bugs an...
David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo,...
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