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ICDM
2008
IEEE
137views Data Mining» more  ICDM 2008»
16 years 1 months ago
Iterative Set Expansion of Named Entities Using the Web
Set expansion refers to expanding a partial set of “seed” objects into a more complete set. One system that does set expansion is SEAL (Set Expander for Any Language), which e...
Richard C. Wang, William W. Cohen
VL
1993
IEEE
159views Visual Languages» more  VL 1993»
15 years 10 months ago
A Visual Logic Programming Language Based on Sets and Partitioning Constraints
This paper presents a new programming language named SPARCL that has four major elements: it is a visual language, it is a logic programming language, it relies on sets to organiz...
Lindsey L. Spratt, Allen L. Ambler
ADC
2003
Springer
182views Database» more  ADC 2003»
15 years 11 months ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan
BMCBI
2007
148views more  BMCBI 2007»
15 years 6 months ago
Computation of significance scores of unweighted Gene Set Enrichment Analyses
Background: Gene Set Enrichment Analysis (GSEA) is a computational method for the statistical evaluation of sorted lists of genes or proteins. Originally GSEA was developed for in...
Andreas Keller, Christina Backes, Hans-Peter Lenho...
ICONIP
2007
15 years 8 months ago
Using Generalization Error Bounds to Train the Set Covering Machine
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
Zakria Hussain, John Shawe-Taylor