Open Science Research Excellence

ICUEDM 2020 : International Conference on Underground Engineering and Data Mining

Vancouver, Canada
August 6 - 7, 2020

Conference Code: 20CA08ICUEDM

Conference Proceedings

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

Special Journal Issues

ICUEDM 2020 has teamed up with the Special Journal Issue on Underground Engineering and Data Mining. 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   June 30, 2020
Notification of Acceptance/Rejection   July 15, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   July 8, 2020
Conference Dates   August 6 - 7, 2020

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) Building an Integrated Relational Database from Swiss Nutrition National Survey and Swiss Health Datasets for Data Mining Purposes
Ilona Mewes, Helena Jenzer, Farshideh Einsele
2) Integration of Educational Data Mining Models to a Web-Based Support System for Predicting High School Student Performance
Sokkhey Phauk, Takeo Okazaki
3) Machine Learning Facing Behavioral Noise Problem in an Imbalanced Data Using One Side Behavioral Noise Reduction: Application to a Fraud Detection
Salma El Hajjami, Jamal Malki, Alain Bouju, Mohammed Berrada
4) Attribute Analysis of Quick Response Code Payment Users Using Discriminant Non-negative Matrix Factorization
Hironori Karachi, Haruka Yamashita
5) Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
6) Spatial Data Science for Data Driven Urban Planning: The Youth Economic Discomfort Index for Rome
Iacopo Testi, Diego Pajarito, Nicoletta Roberto, Carmen Greco
7) AniMoveMineR: Animal Behavior Exploratory Analysis Using Association Rules Mining
Suelane Garcia Fontes, Silvio Luiz Stanzani, Pedro L. Pizzigatti Corrła Ronaldo G. Morato
8) Association Rules Mining and NOSQL Oriented Document in Big Data
Sarra Senhadji, Imene Benzeguimi, Zohra Yagoub
9) From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone
10) Using Textual Pre-Processing and Text Mining to Create Semantic Links
Ricardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo
11) A Bayesian Classification System for Facilitating an Institutional Risk Profile Definition
Roman Graf, Sergiu Gordea, Heather M. Ryan
12) Developing Structured Sizing Systems for Manufacturing Ready-Made Garments of Indian Females Using Decision Tree-Based Data Mining
Hina Kausher, Sangita Srivastava
13) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
14) An Improved K-Means Algorithm for Gene Expression Data Clustering
Billel Kenidra, Mohamed Benmohammed
15) 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

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