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» Techniques of Cluster Algorithms in Data Mining
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RSCTC
2004
Springer
148views Fuzzy Logic» more  RSCTC 2004»
15 years 7 months ago
Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method
In this paper, we present a missing data imputation method based on one of the most popular techniques in Knowledge Discovery in Databases (KDD), i.e. clustering technique. We comb...
Dan Li, Jitender S. Deogun, William Spaulding, Bil...
KDD
2001
ACM
359views Data Mining» more  KDD 2001»
16 years 2 months ago
Data mining techniques to improve forecast accuracy in airline business
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
Christoph Hueglin, Francesco Vannotti
NOMS
2006
IEEE
189views Communications» more  NOMS 2006»
15 years 7 months ago
Analysis of Firewall Policy Rules Using Data Mining Techniques
— Firewall is the de facto core technology of today's network security and defense. However, the management of firewall rules has been proven to be complex, error-prone, cos...
Korosh Golnabi, Richard K. Min, Latifur Khan, Ehab...
BMCBI
2008
208views more  BMCBI 2008»
15 years 1 months ago
GraphFind: enhancing graph searching by low support data mining techniques
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
Alfredo Ferro, Rosalba Giugno, Misael Mongiov&igra...
KDD
1997
ACM
92views Data Mining» more  KDD 1997»
15 years 5 months ago
Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation
This paper describes how to increase the efficiency of inductive data mining algorithms by replacing the central matching operation with a marker propagation technique. Breadth-fi...
John M. Aronis, Foster J. Provost