International Journal of Computational Intelligence Systems

Volume 2, Issue 4, December 2009

Special Issue on Computational Intelligence in Knowledge Technology

Foreword

1. On Knowledge Granulation and Applications to Classifier Induction in the Framework of Rough Mereology

Lech Polkowski, Piotr Artiemjew
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...

2. Intelligent Concepts for the Management of Information in Workflow Systems

Georg Peters, Roger Tagg
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, many...

3. Granular Decision Tree and Evolutionary Neural SVM for Protein Secondary Structure Prediction

Anjum Reyaz-Ahmed, Yan-Qing Zhang, Robert W. Harrison
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...

4. Granular RBF NN Approach and Statistical Methods Applied to Modelling and Forecasting High Frequency Data

Dusan Marcek, Milan Marcek, Jan Babel
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 for...

5. N-grams based feature selection and text representation for Chinese Text Classification

Zhihua Wei, Duoqian Miao, Jean-Hugues Chauchat, Rui Zhao, Wen Li
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...

6. Combining Resting-state fMRI and DTI Analysis for Early-onset Schizophrenia

Ming Ke, Hui Shen, Jintu Fan, Xing Huang, Zongtan Zhou, Xiaogang Chen, Dewen Hu
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....

7. Quorum-based Data Replication in Grid Environment

Rohaya Latip, Mohamed Othman, Azizol Abdullah, Hamidah Ibrahim, Nasir Sulaiman
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...

8. Text Categorization Based on Topic Model

Shibin Zhou, Kan Li, Yushu Liu
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...