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» Improving Data Quality: Consistency and Accuracy
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ICCS
2007
Springer
14 years 1 months ago
Data Assimilation in Multiscale Chemical Transport Models
In this paper we discuss variational data assimilation using the STEM atmospheric Chemical Transport Model. STEM is a multiscale model and can perform air quality simulations and p...
Lin Zhang, Adrian Sandu
EDM
2009
120views Data Mining» more  EDM 2009»
13 years 5 months ago
Improving Student Question Classification
Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to...
Cecily Heiner, Joseph L. Zachary
HIS
2004
13 years 8 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
WEBDB
2001
Springer
137views Database» more  WEBDB 2001»
13 years 11 months ago
Using Database Technology to Improve Performance of Web Proxy Servers
In this paper, we propose to use database technology to improve performance of web proxy servers. We view the cache at a proxy server as a web warehouse with data organized in a h...
Kai Cheng, Yahiko Kambayashi, Mukesh K. Mohania
ISCI
2000
84views more  ISCI 2000»
13 years 7 months ago
Automating the approximate record-matching process
Data Quality has many dimensions one of which is accuracy. Accuracy is usually compromised by errors accidentally or intensionally introduced in a database system. These errors re...
Vassilios S. Verykios, Ahmed K. Elmagarmid, Elias ...