Journal of
Systemics, Cybernetics and Informatics

ISSN: 1690-4524 (Online)

Indexed by
EBSCO, Cabell, DOAJ (Directory of Open Access Journals)Benefits of supplying DOAJ with metadata:
  • DOAJ's statistics show more than 900 000 page views and 300 000 unique visitors a month to DOAJ from all over the world.
  • Many aggregators, databases, libraries, publishers and search portals collect our free metadata and include it in their products. Examples are Scopus, Serial Solutions and EBSCO.
  • DOAJ is OAI compliant and once an article is in DOAJ, it is automatically harvestable.
  • DOAJ is OpenURL compliant and once an article is in DOAJ, it is automatically linkable.
  • Over 95% of the DOAJ Publisher community said that DOAJ is important for increasing their journal's visibility.
  • DOAJ is often cited as a source of quality, open access journals in research and scholarly publishing circles.
JSCI Supplies DOAJ with Meta Data
, Academic Journals Database, and Google Scholar

Listed in
Cabell Directory of Publishing Opportunities and in Ulrich’s Periodical Directory

Re-Published in
(A Community of about 40.000.000 Academics)

Editorial Advisory Board's Chair
William Lesso

Nagib C. Callaos

Sponsored by
The International Institute of
Informatics and Systemics

Editorial Advisory Board


Journal's Reviewers

Description and Aims

Submission of Articles

Areas and Subareas

Information to Contributors

Editorial Peer Review Methodology

Integrating Reviewing Processes

Overall Development Management Model: A New Approach for Emerging Countries. Comparative Analysis of Six Countries on Two Continents.
Fabiana Sciarelli, Azzurra Rinaldi
(pages: 1-7)

The Review Function in Organizations and its Implications for Organization Theory, Cybernetics, and Ethnography
Paul D. Nugent, Richard Montague
(pages: 8-12)

Measuring the Value of Enterprise Architecture on IT Projects with CHAOS Research
Eaglan Kurek, James Johnson, Hans Mulder
(pages: 13-18)

Student-Lead, Interdisciplinary Project-Based Learning for Continuous Success in Animation Education
Seth Holladay, Brent Adams
(pages: 19-24)

Increasing the Attractiveness of Study Programs in the Field of Security and Safety
Eva Sventekova, Katarina Holla
(pages: 25-28)

METEO11 Meteorological Message gained from the METB3, METCM or Abstract of Measured Meteorological Data
Karel Šilinger, Martin Blaha
(pages: 29-34)

Transdisciplinar Meta-Design for Geomatics Applications
Margarita Paras Fernandez, Fernando Lopez Caloca
(pages: 35-40)

Biomonapp’s Sensing & Monitoring of Plants/Fish & Water Quality for Ag Biotech & Bio Monitoring Environments
Christine M. Cunningham Yukech
(pages: 41-47)

Data Binding Issue in Fire Control Application for Technical Control of Artillery Fire
Martin Blaha, Karel Šilinger, Ladislav Potužák
(pages: 48-52)

Explaining the AMST Model: Using Arts, Maths, Science, and Technology in an Upgraded Problem-Based Learning Approach
Georgia Daleure
(pages: 53-56)

Challenges for Using IT in Mexico’s Health Care Industry (Aguascalientes México Case)
Jesús Salvador Vivanco, Martha González
(pages: 57-61)

Dialectal Atlas of the Arab World - between Intention and Reality
Anass Bayaga, Olga Bernikova
(pages: 62-65)

Integrating Architectural Approaches in Communication Design Education to Improve Awareness in Affordance Design
Simge Esin Orhun
(pages: 66-71)

Ethical Implications in the Way Some Marketing Activities is Using Big Data
Adriana da Glória Prado, Joice Chiareto, Fábio Lotti Oliva, Celso Cláudio de Hildebrand e Grisi
(pages: 72-76)

Evidence-Based Education: Case Study of Educational Data Acquisition and Reuse
Katashi Nagao, Naoya Morita, Shigeki Ohira
(pages: 77-84)





A Comparison of SVM-based Evolutionary Methods for Multicategory Cancer Diagnosis using Microarray Gene Expression Data

Rameswar Debnath, Haruhisa Takahashi, Takio Kurita

Selection of relevant genes that will give higher accuracy for sample classi cation (for example, to distinguish cancerous from normal tissues) is a common task in most microarray data studies. An evolutionary method based on generalization error bound theory of support vector machine (SVM) can select a subset of potentially informative genes for SVM classifier very efficiently. The bound theories are developed for binary SVM, however multiclass SVMs do not have established bounds on the generalization error. Several multiclass SVMs have been proposed where multiclass SVMs are typically constructed by combining several binary SVMs. We evaluate an estimate of a generalization error bound for a multiclass SVM by combining the error bound of binary SVMs which are used to construct the multiclass SVM. In this paper our aims are to compare the performance of several multiclass SVMs in the SVM-based evolutionary method and then find the best multiclass SVM classifier in the SVM-based evolutionary method for multicategory cancer diagnosis using microarray gene expression data.

Full Text