KDD
2010
ACM
13 years 8 months ago
2010
ACM
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
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...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
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...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
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...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
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,...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
KDD
2010
ACM
13 years 8 months ago
2010
ACM
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...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
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,...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
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...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
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...