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GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
15 years 10 months ago
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
Steffen Kempe, Jochen Hipp, Rudolf Kruse
DEXAW
2009
IEEE
113views Database» more  DEXAW 2009»
16 years 1 months ago
Identification of Surgery Indicators by Mining Hospital Data: A Preliminary Study
—The management of patient referrals is an interesting issue when it comes to predicting future patient demand to increase hospital productivity. In general, a patient is referre...
Marie Persson, Niklas Lavesson
ESWA
2007
176views more  ESWA 2007»
15 years 6 months ago
Credit scoring with a data mining approach based on support vector machines
The credit card industry has been growing rapidly recently, and thus huge numbers of consumers’ credit data are collected by the credit department of the bank. The credit scorin...
Cheng-Lung Huang, Mu-Chen Chen, Chieh-Jen Wang
RSCTC
2000
Springer
185views Fuzzy Logic» more  RSCTC 2000»
15 years 10 months ago
A Comparison of Several Approaches to Missing Attribute Values in Data Mining
: In the paper nine different approaches to missing attribute values are presented and compared. Ten input data files were used to investigate the performance of the nine methods t...
Jerzy W. Grzymala-Busse, Ming Hu
BIODATAMINING
2008
178views more  BIODATAMINING 2008»
15 years 6 months ago
Clustering-based approaches to SAGE data mining
Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical appli...
Haiying Wang, Huiru Zheng, Francisco Azuaje