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KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 7 months ago
From user comments to on-line conversations
We present an analysis of user conversations in on-line social media and their evolution over time. We propose a dynamic model that predicts the growth dynamics and structural pro...
Chunyan Wang, Mao Ye, Bernardo A. Huberman
KDD
2012
ACM
235views Data Mining» more  KDD 2012»
11 years 7 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 7 months ago
Unsupervised feature selection for linked social media data
The prevalent use of social media produces mountains of unlabeled, high-dimensional data. Feature selection has been shown effective in dealing with high-dimensional data for eï¬...
Jiliang Tang, Huan Liu
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 7 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
KDD
2012
ACM
257views Data Mining» more  KDD 2012»
11 years 7 months ago
Aggregating web offers to determine product prices
Historical prices are important information that can help consumers decide whether the time is right to buy a product. They provide both a context to the users, and facilitate the...
Rakesh Agrawal, Samuel Ieong