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» Discovering Informative Patterns and Data Cleaning
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ESANN
2004
15 years 1 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
VDA
2010
206views Visualization» more  VDA 2010»
15 years 2 months ago
Visual discovery in multivariate binary data
This paper presents the concept of Monotone Boolean Function Visual Analytics (MBFVA) and its application to the medical domain. The medical application is concerned with discover...
Boris Kovalerchuk, Florian Delizy, Logan Riggs, Ev...
94
Voted
BMVC
2010
14 years 9 months ago
SLP: A Zero-Contact Non-Invasive Method for Pulmonary Function Testing
Structured Light Plethysmography (SLP) is a novel non-invasive method that uses structured light to perform pulmonary function testing that does not require physical contact with ...
Willem de Boer, Joan Lasenby, Jonathan Cameron, Ri...
ADC
2006
Springer
125views Database» more  ADC 2006»
15 years 3 months ago
A reconstruction-based algorithm for classification rules hiding
Data sharing between two organizations is common in many application areas e.g. business planing or marketing. Useful global patterns can be discovered from the integrated dataset...
Juggapong Natwichai, Xue Li, Maria E. Orlowska
IEAAIE
2009
Springer
15 years 6 months ago
An Efficient Algorithm for Maintaining Frequent Closed Itemsets over Data Stream
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
Show-Jane Yen, Yue-Shi Lee, Cheng-Wei Wu, Chin-Lin...