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KDD
2010
ACM
253views Data Mining» more  KDD 2010»
9 years 7 months ago
Mining periodic behaviors for moving objects
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, P...
KDD
2010
ACM
195views Data Mining» more  KDD 2010»
9 years 7 months ago
Universal multi-dimensional scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is m...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
9 years 7 months ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...
KDD
2010
ACM
190views Data Mining» more  KDD 2010»
9 years 7 months ago
User browsing models: relevance versus examination
There has been considerable work on user browsing models for search engine results, both organic and sponsored. The click-through rate (CTR) of a result is the product of the prob...
Ramakrishnan Srikant, Sugato Basu, Ni Wang, Daryl ...
KDD
2010
ACM
215views Data Mining» more  KDD 2010»
9 years 7 months ago
On the quality of inferring interests from social neighbors
This paper intends to provide some insights of a scientific problem: how likely one’s interests can be inferred from his/her social connections – friends, friends’ friends,...
Zhen Wen, Ching-Yung Lin
KDD
2010
ACM
188views Data Mining» more  KDD 2010»
9 years 7 months ago
Generative models for ticket resolution in expert networks
Gengxin Miao, Louise E. Moser, Xifeng Yan, Shu Tao...
KDD
2010
ACM
435views Data Mining» more  KDD 2010»
9 years 7 months ago
Topic models with power-law using Pitman-Yor process
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
Issei Sato, Hiroshi Nakagawa
KDD
2010
ACM
250views Data Mining» more  KDD 2010»
9 years 7 months ago
Modeling relational events via latent classes
Many social networks can be characterized by a sequence of dyadic interactions between individuals. Techniques for analyzing such events are of increasing interest. In this paper,...
Christopher DuBois, Padhraic Smyth
KDD
2010
ACM
282views Data Mining» more  KDD 2010»
9 years 7 months ago
Optimizing debt collections using constrained reinforcement learning
In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections processes at financial institutions. Our...
Naoki Abe, Prem Melville, Cezar Pendus, Chandan K....
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
9 years 7 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
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