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KDD
2012
ACM
168views Data Mining» more  KDD 2012»
13 years 8 months ago
Mining contentions from discussions and debates
Social media has become a major source of information for many applications. Numerous techniques have been proposed to analyze network structures and text contents. In this paper,...
Arjun Mukherjee, Bing Liu 0001
209
Voted
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
13 years 8 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
201
Voted
KDD
2012
ACM
202views Data Mining» more  KDD 2012»
13 years 8 months ago
UFIMT: an uncertain frequent itemset mining toolbox
In recent years, mining frequent itemsets over uncertain data has attracted much attention in the data mining community. Unlike the corresponding problem in deterministic data, th...
Yongxin Tong, Lei Chen 0002, Philip S. Yu
KDD
2012
ACM
166views Data Mining» more  KDD 2012»
13 years 8 months ago
Selecting a characteristic set of reviews
Online reviews provide consumers with valuable information that guides their decisions on a variety of fronts: from entertainment and shopping to medical services. Although the pr...
Theodoros Lappas, Mark Crovella, Evimaria Terzi
KDD
2012
ACM
244views Data Mining» more  KDD 2012»
13 years 8 months ago
Open domain event extraction from twitter
Tweets are the most up-to-date and inclusive stream of information and commentary on current events, but they are also fragmented and noisy, motivating the need for systems that c...
Alan Ritter, Mausam, Oren Etzioni, Sam Clark