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» Information extraction, data mining and joint inference
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KDD
2003
ACM
144views Data Mining» more  KDD 2003»
14 years 11 months ago
Clinical and financial outcomes analysis with existing hospital patient records
Existing patient records are a valuable resource for automated outcomes analysis and knowledge discovery. However, key clinical data in these records is typically recorded in unst...
R. Bharat Rao, Sathyakama Sandilya, Radu Stefan Ni...
WSDM
2012
ACM
214views Data Mining» more  WSDM 2012»
12 years 6 months ago
Selecting actions for resource-bounded information extraction using reinforcement learning
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
Pallika H. Kanani, Andrew K. McCallum
WWW
2009
ACM
14 years 5 months ago
StatSnowball: a statistical approach to extracting entity relationships
Traditional relation extraction methods require pre-specified relations and relation-specific human-tagged examples. Bootstrapping systems significantly reduce the number of tr...
Jun Zhu, Zaiqing Nie, Xiaojiang Liu, Bo Zhang, Ji-...
DKE
2006
84views more  DKE 2006»
13 years 10 months ago
Mining configurable enterprise information systems
Process mining is the extraction of a process model from system logs. These logs have to meet minimum requirements, i.e. each event should refer to a case and a task. Many system ...
Monique H. Jansen-Vullers, Wil M. P. van der Aalst...
SDM
2011
SIAM
307views Data Mining» more  SDM 2011»
13 years 1 months ago
Block-LDA: Jointly modeling entity-annotated text and entity-entity links
We present a model that improves entity entity link modeling in a mixed membership stochastic block model, by jointly modeling links with text about the entities that are linked i...
Ramnath Balasubramanyan, William W. Cohen