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» Data mining, Hypergraph Transversals, and Machine Learning
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BMCBI
2010
133views more  BMCBI 2010»
14 years 9 months ago
Learning an enriched representation from unlabeled data for protein-protein interaction extraction
Background: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used w...
Yanpeng Li, Xiaohua Hu, Hongfei Lin, Zhihao Yang
OTM
2005
Springer
15 years 3 months ago
Context Knowledge Discovery in Ubiquitous Computing
This article introduces the concept of context knowledge discovery process, and presents a middleware architecture which eases the task of ubiquitous computing developers, while su...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
72
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DAWAK
2006
Springer
15 years 1 months ago
Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
This paper describes problem of prediction that is based on direct marketing data coming from Nationwide Products and Services Questionnaire (NPSQ) prepared by Polish division of A...
Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciec...
BMCBI
2008
173views more  BMCBI 2008»
14 years 9 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
KDD
2004
ACM
330views Data Mining» more  KDD 2004»
15 years 10 months ago
Learning to detect malicious executables in the wild
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
Jeremy Z. Kolter, Marcus A. Maloof