Excellence in Research and Innovation for Humanity

ICCEC 2018 : 20th International Conference on Computational Economics and Complexity

Paris, France
February 19 - 20, 2018

Conference Code: 18FR02ICCEC

International Research Conference Aims and Objectives

The ICCEC 2018: 20th International Conference on Computational Economics and Complexity aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Computational Economics and Complexity. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Computational Economics and Complexity.

Call for Contributions

All honorable authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Computational Economics and Complexity are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.WASET

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

ICCEC 2018 has teamed up with the Special Journal Issue on Computational Economics and Complexity. 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 19, 2018
Conference Dates   February 19 - 20, 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) Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests
Julius Onyancha, Valentina Plekhanova
2) Cognition of Driving Context for Driving Assistance
Manolo Dulva Hina, Clement Thierry, Assia Soukane, Amar Ramdane-Cherif
3) Evaluating Machine Learning Techniques for Activity Classification in Smart Home Environments
Talal Alshammari, Nasser Alshammari, Mohamed Sedky, Chris Howard
4) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
5) Optimized Preprocessing for Accurate and Efficient Bioassay Prediction with Machine Learning Algorithms
Jeff Clarine, Chang-Shyh Peng, Daisy Sang
6) Hybrid Approach for Software Defect Prediction Using Machine Learning with Optimization Technique
C. Manjula, Lilly Florence
7) Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in R
Jaya Mathew
8) Causal Relation Identification Using Convolutional Neural Networks and Knowledge Based Features
Tharini N. de Silva, Xiao Zhibo, Zhao Rui, Mao Kezhi
9) Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification Techniques
Sannikumar Patel, Brian Nolan, Markus Hofmann, Philip Owende, Kunjan Patel
10) Urban Big Data: An Experimental Approach to Building-Value Estimation Using Web-Based Data
Sun-Young Jang, Sung-Ah Kim, Dongyoun Shin
11) Load Forecasting in Microgrid Systems with R and Cortana Intelligence Suite
F. Lazzeri, I. Reiter
12) Stackelberg Security Game for Optimizing Security of Federated Internet of Things Platform Instances
Violeta Damjanovic-Behrendt
13) Distributed Coverage Control by Robot Networks in Unknown Environments Using a Modified EM Algorithm
Mohammadhosein Hasanbeig, Lacra Pavel
14) Development of the Academic Model to Predict Student Success at VUT-FSASEC Using Decision Trees
Langa Hendrick Musawenkosi, Twala Bhekisipho
15) A Study on Performance Prediction in Early Design Stage of Apartment Housing Using Machine Learning
Seongjun Kim, Sanghoon Shim, Jinwooung Kim, Jaehwan Jung, Sung-Ah Kim

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