Scholarly Research Excellence

ICES 2019 : 21st International Conference on Econometrics and Statistics

Zurich, Switzerland
January 14 - 15, 2019

Conference Code: 19CH01ICES

Conference Proceedings

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

Special Journal Issues

ICES 2019 has teamed up with the Special Journal Issue on Econometrics and Statistics. 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   November 15, 2018
Notification of Acceptance/Rejection   November 30, 2018
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 14, 2018
Conference Dates   January 14 - 15, 2019

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) Considerations for Effectively Using Probability of Failure as a Means of Slope Design Appraisal for Homogeneous and Heterogeneous Rock Masses
Neil Bar, Andrew Heweston
2) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
3) ELISA Based hTSH Assessment Using Two Sensitive and Specific Anti-hTSH Polyclonal Antibodies
Maysam Mard-Soltani, Mohamad Javad Rasaee, Saeed Khalili, Abdol Karim Sheikhi, Mehdi Hedayati
4) Performance of the Strong Stability Method in the Univariate Classical Risk Model
Safia Hocine, Zina Benouaret, Djamil A¨ıssani
5) Identification of Disease Causing DNA Motifs in Human DNA Using Clustering Approach
G. Tamilpavai, C. Vishnuppriya
6) An Improved K-Means Algorithm for Gene Expression Data Clustering
Billel Kenidra, Mohamed Benmohammed
7) Optimal Mitigation of Slopes by Probabilistic Methods
D. De-León-Escobedo, D. J. Delgado-Hernández, S. Pérez
8) CoP-Networks: Virtual Spaces for New Faculty’s Professional Development in the 21st Higher Education
Eman AbuKhousa, Marwan Z. Bataineh
9) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics
Fabio Fabris, Alex A. Freitas
10) Road Traffic Accidents Analysis in Mexico City through Crowdsourcing Data and Data Mining Techniques
Gabriela V. Angeles Perez, Jose Castillejos Lopez, Araceli L. Reyes Cabello, Emilio Bravo Grajales, Adriana Perez Espinosa, Jose L. Quiroz Fabian
11) Evaluation of Best-Fit Probability Distribution for Prediction of Extreme Hydrologic Phenomena
Karim Hamidi Machekposhti, Hossein Sedghi
12) The Trend of Injuries in Building Fire in Tehran from 2002 to 2012
Mohammadreza Ashouri, Majid Bayatian
13) Development of Prediction Models of Day-Ahead Hourly Building Electricity Consumption and Peak Power Demand Using the Machine Learning Method
Dalin Si, Azizan Aziz, Bertrand Lasternas
14) Application of Data Mining Techniques for Tourism Knowledge Discovery
Teklu Urgessa, Wookjae Maeng, Joong Seek Lee
15) Intellectual Property Protection of CRISPR Related Technologies
Zheng Miao, Dennis Fernandez

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