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IDA
2008
Springer
13 years 8 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
JCIT
2008
165views more  JCIT 2008»
13 years 8 months ago
Mining Processes using cluster approach for representing workflows
Although much attention is being paid to business Intelligence during the past decades, the design for applying business Intelligence and particularly in a workflow processes is s...
N. P. Kavya, M. V. Sathyanarayana, N. C. Naveen
BMCBI
2006
102views more  BMCBI 2006»
13 years 8 months ago
Prediction of protein structural class with Rough Sets
Background: A new method for the prediction of protein structural classes is constructed based on Rough Sets algorithm, which is a rule-based data mining method. Amino acid compos...
Youfang Cao, Shi Liu, Lida Zhang, Jie Qin, Jiang W...
SADM
2010
128views more  SADM 2010»
13 years 7 months ago
Online training on a budget of support vector machines using twin prototypes
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
Zhuang Wang, Slobodan Vucetic
CAEPIA
2003
Springer
14 years 1 months ago
Clustering Main Concepts from e-Mails
E–mail is one of the most common ways to communicate, assuming, in some cases, up to 75% of a company’s communication, in which every employee spends about 90 minutes a day in ...
Jesús S. Aguilar-Ruiz, Domingo S. Rodr&iacu...