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WSDM
2016
ACM
44views Data Mining» more  WSDM 2016»
8 years 13 days ago
Second Workshop on Search and Exploration of X-Rated Information (SEXI'16): WSDM Workshop Summary
Adult content is pervasive on the web, has been a driving factor in the adoption of the Internet medium, and is responsible for a significant fraction of traffic and revenues, y...
Vanessa Murdock, Charles L. A. Clarke, Jaap Kamps,...
WSDM
2016
ACM
50views Data Mining» more  WSDM 2016»
8 years 13 days ago
Multi-Score Position Auctions
Denis Xavier Charles, Nikhil R. Devanur, Balasubra...
WSDM
2016
ACM
56views Data Mining» more  WSDM 2016»
8 years 13 days ago
Project Success Prediction in Crowdfunding Environments
Crowdfunding has gained widespread attention in recent years. Despite the huge success of crowdfunding platforms, the percentage of projects that succeed in achieving their desire...
Yan Li, Vineeth Rakesh, Chandan K. Reddy
WSDM
2016
ACM
43views Data Mining» more  WSDM 2016»
8 years 13 days ago
Multileave Gradient Descent for Fast Online Learning to Rank
Modern search systems are based on dozens or even hundreds of ranking features. The dueling bandit gradient descent (DBGD) algorithm has been shown to effectively learn combinatio...
Anne Schuth, Harrie Oosterhuis, Shimon Whiteson, M...

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dnagaIndependent Researcher
dnaga
SDM
2012
SIAM
304views Data Mining» more  SDM 2012»
11 years 6 months ago
Fast Random Walk Graph Kernel
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...
U. Kang, Hanghang Tong, Jimeng Sun
SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
11 years 6 months ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
SDM
2012
SIAM
278views Data Mining» more  SDM 2012»
11 years 6 months ago
Legislative Prediction via Random Walks over a Heterogeneous Graph
In this article, we propose a random walk-based model to predict legislators’ votes on a set of bills. In particular, we first convert roll call data, i.e. the recorded votes a...
Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
SDM
2012
SIAM
289views Data Mining» more  SDM 2012»
11 years 6 months ago
Mining Compressing Sequential Patterns
Compression based pattern mining has been successfully applied to many data mining tasks. We propose an approach based on the minimum description length principle to extract seque...
Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin,...
SDM
2012
SIAM
293views Data Mining» more  SDM 2012»
11 years 6 months ago
RP-growth: Top-k Mining of Relevant Patterns with Minimum Support Raising
One practical inconvenience in frequent pattern mining is that it often yields a flood of common or uninformative patterns, and thus we should carefully adjust the minimum suppor...
Yoshitaka Kameya, Taisuke Sato