KDD
2009
ACM
15 years 12 days ago
2009
ACM
In this study, we formalize a multi-focal learning problem, where training data are partitioned into several different focal groups and the prediction model will be learned within...
KDD
2009
ACM
15 years 12 days ago
2009
ACM
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
KDD
2009
ACM
15 years 12 days ago
2009
ACM
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
KDD
2009
ACM
15 years 12 days ago
2009
ACM
Counting the number of triangles in a graph is a beautiful algorithmic problem which has gained importance over the last years due to its significant role in complex network analy...
KDD
2009
ACM
15 years 12 days ago
2009
ACM
This paper describes and evaluates privacy-friendly methods for extracting quasi-social networks from browser behavior on user-generated content sites, for the purpose of finding ...
KDD
2009
ACM
15 years 12 days ago
2009
ACM
Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
KDD
2009
ACM
15 years 12 days ago
2009
ACM
This paper studies web object classification problem with the novel exploration of social tags. Automatically classifying web objects into manageable semantic categories has long ...
KDD
2009
ACM
15 years 12 days ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
KDD
2009
ACM
15 years 12 days ago
2009
ACM
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
KDD
2009
ACM
15 years 12 days ago
2009
ACM
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...