Open Science Research Excellence

ICDPA 2019 : International Conference on Data Processing Applications

Paris, France
November 20 - 21, 2019

Conference Code: 19FR11ICDPA

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

ICDPA 2019 has teamed up with the Special Journal Issue on Data Processing Applications. 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   July 1, 2019
Notification of Acceptance/Rejection   July 16, 2019
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   October 20, 2019
Conference Dates   November 20 - 21, 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) Microclimate Variations in Rio de Janeiro Related to Massive Public Transportation
Marco E. O. Jardim, Frederico A. M. Souza, Valeria M. Bastos, Myrian C. A. Costa, Nelson F. F. Ebecken
2) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
3) Hybrid Knowledge Approach for Determining Health Care Provider Specialty from Patient Diagnoses
Erin Lynne Plettenberg, Jeremy Vickery
4) An Improved K-Means Algorithm for Gene Expression Data Clustering
Billel Kenidra, Mohamed Benmohammed
5) Integrating Dependent Material Planning Cycle into Building Information Management: A Building Information Management-Based Material Management Automation Framework
Faris Elghaish, Sepehr Abrishami, Mark Gaterell, Richard Wise
6) 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
7) CoP-Networks: Virtual Spaces for New Faculty’s Professional Development in the 21st Higher Education
Eman AbuKhousa, Marwan Z. Bataineh
8) Real-Time Data Stream Partitioning over a Sliding Window in Real-Time Spatial Big Data
Sana Hamdi, Emna Bouazizi, Sami Faiz
9) Application of Data Mining Techniques for Tourism Knowledge Discovery
Teklu Urgessa, Wookjae Maeng, Joong Seek Lee
10) 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
11) Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in R
Jaya Mathew
12) Implementation of an IoT Sensor Data Collection and Analysis Library
Jihyun Song, Kyeongjoo Kim, Minsoo Lee
13) An Improvement of Multi-Label Image Classification Method Based on Histogram of Oriented Gradient
Ziad Abdallah, Mohamad Oueidat, Ali El-Zaart
14) Urban Big Data: An Experimental Approach to Building-Value Estimation Using Web-Based Data
Sun-Young Jang, Sung-Ah Kim, Dongyoun Shin
15) Knowledge Discovery and Data Mining Techniques in Textile Industry
Filiz Ersoz, Taner Ersoz, Erkin Guler

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