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KDD
2010
ACM
188views Data Mining» more  KDD 2010»
14 years 15 days 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»
14 years 15 days 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»
14 years 15 days 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»
14 years 15 days 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»
14 years 15 days 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...
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
14 years 15 days ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
KDD
2010
ACM
257views Data Mining» more  KDD 2010»
14 years 15 days ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...
KDD
2010
ACM
207views Data Mining» more  KDD 2010»
14 years 15 days ago
Evaluating online ad campaigns in a pipeline: causal models at scale
David Chan, Rong Ge, Ori Gershony, Tim Hesterberg,...
KDD
2010
ACM
259views Data Mining» more  KDD 2010»
14 years 15 days ago
A probabilistic model for personalized tag prediction
Social tagging systems have become increasingly popular for sharing and organizing web resources. Tag recommendation is a common feature of social tagging systems. Social tagging ...
Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. D...
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
14 years 15 days ago
Direct mining of discriminative patterns for classifying uncertain data
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
Chuancong Gao, Jianyong Wang