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» Using Data Fusion and Web Mining to Support Feature Location...
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SIGIR
2003
ACM
14 years 21 days ago
Table extraction using conditional random fields
The ability to find tables and extract information from them is a necessary component of data mining, question answering, and other information retrieval tasks. Documents often c...
David Pinto, Andrew McCallum, Xing Wei, W. Bruce C...
ICDM
2006
IEEE
164views Data Mining» more  ICDM 2006»
14 years 1 months ago
Unsupervised Learning of Tree Alignment Models for Information Extraction
We propose an algorithm for extracting fields from HTML search results. The output of the algorithm is a database table– a data structure that better lends itself to high-level...
Philip Zigoris, Damian Eads, Yi Zhang
ACMSE
2006
ACM
14 years 1 months ago
Automatic support for testing web-based enterprise applications
In this paper we consider the problem of automatically generating test suites associated with web-based enterprise systems. In particular, we discuss the construction of a tool de...
Arturo Sanchez, Brandon Vega, Alexander Gonzalez, ...
IJCNN
2008
IEEE
14 years 1 months ago
A neural network approach to ordinal regression
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
Jianlin Cheng, Zheng Wang, Gianluca Pollastri
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
14 years 29 days ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson