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127
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GECCO
2005
Springer
209views Optimization» more  GECCO 2005»
15 years 9 months ago
Genetic algorithm optimization of superresolution parameters
Superresolution is the process of producing a high resolution image from a collection of low resolution images. This process has potential application in a wide spectrum of fields...
Barry Ahrens
111
Voted
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 9 months ago
Use of a genetic algorithm in brill's transformation-based part-of-speech tagger
The tagging problem in natural language processing is to find a way to label every word in a text as a particular part of speech, e.g., proper noun. An effective way of solving th...
Garnett Carl Wilson, Malcolm I. Heywood
125
Voted
BPM
2009
Springer
258views Business» more  BPM 2009»
15 years 10 months ago
Activity Mining by Global Trace Segmentation
Process Mining is a technology for extracting non-trivial and useful information from execution logs. For example, there are many process mining techniques to automatically discove...
Christian W. Günther, Anne Rozinat, Wil M. P....
127
Voted
KDD
1997
ACM
122views Data Mining» more  KDD 1997»
15 years 7 months ago
KDD Process Planning
KDD (Knowledge Discovery in Databases) processhas become a new and important research area. Within the framework of KDD process and the GLS (Global Learning Scheme) system recentl...
Ning Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Set...
119
Voted
AUSDM
2007
Springer
93views Data Mining» more  AUSDM 2007»
15 years 10 months ago
Customer Analytics Projects: Addressing Existing Problems with a Process that Leads to Success
This article explicitly outlines an approach designed to allow optimal utilisation of Analytics in the industry setting. The paper focuses on the key stages of the Analytics proce...
Inna Kolyshkina, Simeon J. Simoff