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» Mining data streams: a review
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KDD
2012
ACM
212views Data Mining» more  KDD 2012»
11 years 11 months ago
eTrust: understanding trust evolution in an online world
Most existing research about online trust assumes static trust relations between users. As we are informed by social sciences, trust evolves as humans interact. Little work exists...
Jiliang Tang, Huan Liu, Huiji Gao, Atish Das Sarma...
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
14 years 9 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 9 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
ALIFE
2006
13 years 8 months ago
A Comprehensive Overview of the Applications of Artificial Life
We review the applications of artificial life (ALife), the creation of synthetic life on computers to study, simulate, and understand living systems. The definition and features of...
Kyung-Joong Kim, Sung-Bae Cho
JNCA
2008
104views more  JNCA 2008»
13 years 8 months ago
Computing in social networks with relationship algebra
Communities are the latest phenomena on the Internet. At the heart of each community lies a social network. In this paper, we show a generalized framework to understand and reason...
Javed I. Khan, Sajid S. Shaikh