Excellence in Research and Innovation for Humanity

ICKDFS 2018 : 20th International Conference on Knowledge Discovery and Fuzzy Systems

Istanbul, Turkey
February 15 - 16, 2018

Conference Code: 18TR02ICKDFS

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the International Science Index (ISI), Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICKDFS 2018 has teamed up with the Special Journal Issue on Knowledge Discovery and Fuzzy Systems. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   December 31, 2017
Notification of Acceptance/Rejection   January 10, 2018
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   January 15, 2018
Conference Dates   February 15 - 16, 2018

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Construction 4.0: The Future of the Construction Industry in South Africa
Temidayo. O. Osunsanmi, Clinton Aigbavboa, Ayodeji Oke
2) Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests
Julius Onyancha, Valentina Plekhanova
3) Position of the Constitutional Court of the Russian Federation on the Matter of Restricting Constitutional Rights of Citizens Concerning Banking Secrecy
A. V. Shashkova
4) Missing Link Data Estimation with Recurrent Neural Network: An Application Using Speed Data of Daegu Metropolitan Area
JaeHwan Yang, Da-Woon Jeong, Seung-Young Kho, Dong-Kyu Kim
5) Risk and Uncertainty in Aviation: A Thorough Analysis of System Vulnerabilities
C. V. Pietreanu, S. E. Zaharia, C. Dinu
6) Evaluating Machine Learning Techniques for Activity Classification in Smart Home Environments
Talal Alshammari, Nasser Alshammari, Mohamed Sedky, Chris Howard
7) Cognition of Driving Context for Driving Assistance
Manolo Dulva Hina, Clement Thierry, Assia Soukane, Amar Ramdane-Cherif
8) Road Vehicle Recognition Using Magnetic Sensing Feature Extraction and Classification
Xiao Chen, Xiaoying Kong, Min Xu
9) Imposing Speed Constraints on Arrival Flights: Case Study for Changi Airport
S. Aneeka, S.M. Phyoe, R. Guo, Z.W. Zhong
10) Scorbot-ER 4U Using Forward Kinematics Modelling and Analysis
D. Maneetham, L. Sivhour
11) Experimental Simulation Set-Up for Validating Out-Of-The-Loop Mitigation when Monitoring High Levels of Automation in Air Traffic Control
Oliver Ohneiser, Francesca De Crescenzio, Gianluca Di Flumeri, Jan Kraemer, Bruno Berberian, Sara Bagassi, Nicolina Sciaraffa, Pietro Aricò, Gianluca Borghini, Fabio Babiloni
12) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
13) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
14) Batteryless DCM Boost Converter for Kinetic Energy Harvesting Applications
Andrés Gomez-Casseres, Rubén Contreras
15) Hybrid Approach for Software Defect Prediction Using Machine Learning with Optimization Technique
C. Manjula, Lilly Florence

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