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» Experimental perspectives on learning from imbalanced data
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SIGIR
2012
ACM
13 years 18 days ago
Automatic suggestion of query-rewrite rules for enterprise search
Enterprise search is challenging for several reasons, notably the dynamic terminology and jargon that are specific to the enterprise domain. This challenge is partly addressed by...
Zhuowei Bao, Benny Kimelfeld, Yunyao Li
79
Voted
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
14 years 11 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen
93
Voted
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 10 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
WWW
2006
ACM
15 years 10 months ago
Interactive wrapper generation with minimal user effort
While much of the data on the web is unstructured in nature, there is also a significant amount of embedded structured data, such as product information on e-commerce sites or sto...
Utku Irmak, Torsten Suel
SEMWEB
2005
Springer
15 years 3 months ago
Rapid Benchmarking for Semantic Web Knowledge Base Systems
Abstract. We present a method for rapid development of benchmarks for Semantic Web knowledge base systems. At the core, we have a synthetic data generation approach for OWL that is...
Sui-Yu Wang, Yuanbo Guo, Abir Qasem, Jeff Heflin