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GECCO
2007
Springer
197views Optimization» more  GECCO 2007»
15 years 3 months ago
Computational intelligence techniques: a study of scleroderma skin disease
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining ...
Julio J. Valdés, Alan J. Barton
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
14 years 11 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
ACMSE
2011
ACM
13 years 9 months ago
Integrating digital logic design and assembly programming using FPGAs in the classroom
Rising Field Programmable Gate Array (FPGA) market volumes combined with increasing industrial popularity have driven prices down and improved capability to the point that FPGA ha...
William M. Jones, D. Brian Larkins
66
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ICDM
2003
IEEE
184views Data Mining» more  ICDM 2003»
15 years 3 months ago
Detecting Patterns of Change Using Enhanced Parallel Coordinates Visualization
Analyzing data to find trends, correlations, and stable patterns is an important problem for many industrial applications. In this paper, we propose a new technique based on paral...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Sc...
IS
2007
14 years 9 months ago
Business process mining: An industrial application
Contemporary information systems (e.g., WfM, ERP, CRM, SCM, and B2B systems) record business events in so-called event logs. Business process mining takes these logs to discover p...
Wil M. P. van der Aalst, Hajo A. Reijers, A. J. M....