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PAKDD
2010
ACM
167views Data Mining» more  PAKDD 2010»
15 years 3 months ago
Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand
We present a general framework for the task of extracting specific information “on demand” from a large corpus such as the Web under resource-constraints. Given a database wit...
Pallika Kanani, Andrew McCallum, Shaohan Hu
DKE
2008
109views more  DKE 2008»
14 years 12 months ago
Deterministic algorithms for sampling count data
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
Hüseyin Akcan, Alex Astashyn, Hervé Br...
KDD
2009
ACM
182views Data Mining» more  KDD 2009»
16 years 12 days ago
Scalable graph clustering using stochastic flows: applications to community discovery
Algorithms based on simulating stochastic flows are a simple and natural solution for the problem of clustering graphs, but their widespread use has been hampered by their lack of...
Venu Satuluri, Srinivasan Parthasarathy
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
16 years 8 days ago
Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed Framework
Abstract. As more and more person-specific data like health information becomes available, increasing attention is paid to confidentiality and privacy protection. One proposed mode...
Rhonda Chaytor
LCN
2000
IEEE
15 years 4 months ago
End-to-End QoS Management for Delay-Sensitive Scalable Multimedia Streams over DiffServ
The migration of the Internet from classic computer communication to a platform for multimedia applications with real-time communication requires end-to-end improvements of the ne...
Markus Albrecht, Michael Köster, Peter Martin...