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209
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
206
Voted
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Temporal patterns composed of symbolic intervals are commonly formulated with Allen's interval relations originating in temporal reasoning. This representation has severe dis...
217
Voted
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Let R be a set of objects. An object o R is an outlier, if there exist less than k objects in R whose distances to o are at most r. The values of k, r, and the distance metric ar...
216
Voted
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
239
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Recommender systems are an emerging technology that helps consumers find interesting products and useful resources. A recommender system makes personalized product suggestions by e...