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134
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WSDM
2010
ACM
215views Data Mining» more  WSDM 2010»
15 years 12 months ago
GeoFolk: Latent spatial semantics in Web 2.0 social media
We describe an approach for multi-modal characterization of social media by combining text features (e.g. tags as a prominent example of short, unstructured text labels) with spat...
Sergej Sizov
123
Voted
ICDM
2010
IEEE
213views Data Mining» more  ICDM 2010»
15 years 15 days ago
Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling
Citizen scientists, who are volunteers from the community that participate as field assistants in scientific studies [3], enable research to be performed at much larger spatial and...
Jun Yu, Weng-Keen Wong, Rebecca A. Hutchinson
150
Voted
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
13 years 10 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...
139
Voted
WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
13 years 10 months ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
15 years 6 months ago
Beyond heuristics: learning to classify vulnerabilities and predict exploits
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, G...