Sciweavers

KDD
2012
ACM
165views Data Mining» more  KDD 2012»
11 years 6 months ago
PatentMiner: topic-driven patent analysis and mining
Jie Tang, Bo Wang, Yang Yang, Po Hu, Yanting Zhao,...
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
11 years 6 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
2012
ACM
217views Data Mining» more  KDD 2012»
11 years 6 months ago
The long and the short of it: summarising event sequences with serial episodes
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freq...
Nikolaj Tatti, Jilles Vreeken
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
11 years 6 months ago
Factoring past exposure in display advertising targeting
Online advertising is increasingly becoming more performance oriented, where the decision to show an advertisement to a user is made based on the user’s propensity to respond to...
Neha Gupta, Abhimanyu Das, Sandeep Pandey, Vijay K...
KDD
2012
ACM
200views Data Mining» more  KDD 2012»
11 years 6 months ago
Vertex neighborhoods, low conductance cuts, and good seeds for local community methods
The communities of a social network are sets of vertices with more connections inside the set than outside. We theoretically demonstrate that two commonly observed properties of s...
David F. Gleich, C. Seshadhri
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 6 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
187views Data Mining» more  KDD 2012»
11 years 6 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 e...
Jiliang Tang, Huan Liu
KDD
2012
ACM
197views Data Mining» more  KDD 2012»
11 years 6 months ago
On the separability of structural classes of communities
Three major factors govern the intricacies of community extraction in networks: (1) the application domain includes a wide variety of networks of fundamentally different natures,...
Bruno D. Abrahao, Sucheta Soundarajan, John E. Hop...
KDD
2012
ACM
190views Data Mining» more  KDD 2012»
11 years 6 months ago
Multi-label hypothesis reuse
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
Sheng-Jun Huang, Yang Yu, Zhi-Hua Zhou
KDD
2012
ACM
177views Data Mining» more  KDD 2012»
11 years 6 months ago
Random forests for metric learning with implicit pairwise position dependence
Caiming Xiong, David Johnson, Ran Xu, Jason J. Cor...