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KDD
2008
ACM
246views Data Mining» more  KDD 2008»
15 years 26 days ago
Direct mining of discriminative and essential frequent patterns via model-based search tree
Frequent patterns provide solutions to datasets that do not have well-structured feature vectors. However, frequent pattern mining is non-trivial since the number of unique patter...
Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Y...
KDD
2008
ACM
153views Data Mining» more  KDD 2008»
15 years 26 days ago
Information extraction from Wikipedia: moving down the long tail
Not only is Wikipedia a comprehensive source of quality information, it has several kinds of internal structure (e.g., relational summaries known as infoboxes), which enable self-...
Fei Wu, Raphael Hoffmann, Daniel S. Weld
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
15 years 26 days ago
Spectral domain-transfer learning
Traditional spectral classification has been proved to be effective in dealing with both labeled and unlabeled data when these data are from the same domain. In many real world ap...
Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, ...
KDD
2008
ACM
184views Data Mining» more  KDD 2008»
15 years 26 days ago
Joint latent topic models for text and citations
In this work, we address the problem of joint modeling of text and citations in the topic modeling framework. We present two different models called the Pairwise-Link-LDA and the ...
Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William...
KDD
2008
ACM
166views Data Mining» more  KDD 2008»
15 years 26 days ago
Generating succinct titles for web URLs
How can a search engine automatically provide the best and most appropriate title for a result URL (link-title) so that users will be persuaded to click on the URL? We consider th...
Deepayan Chakrabarti, Ravi Kumar, Kunal Punera
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
15 years 26 days ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
KDD
2008
ACM
213views Data Mining» more  KDD 2008»
15 years 26 days ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
KDD
2008
ACM
123views Data Mining» more  KDD 2008»
15 years 26 days ago
Efficient semi-streaming algorithms for local triangle counting in massive graphs
Luca Becchetti, Paolo Boldi, Carlos Castillo, Aris...
KDD
2008
ACM
239views Data Mining» more  KDD 2008»
15 years 26 days ago
Mining adaptively frequent closed unlabeled rooted trees in data streams
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
Albert Bifet, Ricard Gavaldà