Volume 2, Issue 4, December 2009
Special Issue on Computational Intelligence in Knowledge Technology
Pages: 315 - 331
Knowledge granulation as proposed by Zadeh consists in making objects under discussion into classes
called granules; objects within a granule are similar one to another to a satisfactory degree relative to a chosen
similarity measure. Rough mereology as developed by Polkowski in a series of works is...
Pages: 332 - 342
Workflow systems are commonly used in industry, commerce and government. They provide computerized
support for owners of repetitive, highly standardized business processes, with a means of controlling
the execution of instances of those processes according to predefined process templates. However,...
Pages: 343 - 352
A new sliding window scheme is introduced with multiple windows to form the protein data for SVM. Two new tertiary classifiers are introduced; one of them makes use of support vector machines as neurons in neural network architecture and the other tertiary classifier is a granular decision tree based...
Pages: 353 - 364
We examine the ARCH-GARCH models for the forecasting of the bond price time series provided by
VUB bank and make comparisons the forecast accuracy with the class of RBF neural network models. A
limited statistical or computer science theory exists on how to design the architecture of RBF networks
Pages: 365 - 374
In this paper, text representation and feature selection strategies for Chinese text classification based on
n-grams are discussed. Two steps feature selection strategy is proposed which combines the preprocess
within classes with the feature selection among classes. Four different feature selection...
Pages: 375 - 385
We combined measures of resting-state functional magnetic resonance imaging and diffusion tensor
imaging (DTI) to investigate alterations of function-structure relationships in patients with early-onset
schizophrenia. DTI analysis revealed reduced fractional anisotropy in right frontal white matter....
Pages: 386 - 397
Replication is a useful technique for distributed database systems and can be implemented in a grid computation environment to provide a high availability, fault tolerant, and enhance the performance of the system. This paper discusses a new protocol named Diagonal Data Replication in 2D Mesh structure...
Pages: 398 - 409
In the text literature, many topic models were proposed to represent documents and words as topics or
latent topics in order to process text effectively and accurately. In this paper, we propose LDACLM or
Latent Dirichlet Allocation Category LanguageModel for text categorization and estimate parameters...