Open Science Research Excellence

ICCSDA 2020 : International Conference on Computational Statistics and Data Analysis

Mumbai, India
February 6 - 7, 2020

Conference Code: 20PT02ICCSDA

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

ICCSDA 2020 has teamed up with the Special Journal Issue on Computational Statistics and Data Analysis. 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   January 7, 2020
Conference Dates   February 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) Lead and Cadmium Spatial Pattern and Risk Assessment around Coal Mine in Hyrcanian Forest, North Iran
Mahsa Tavakoli, Seyed Mohammad Hojjati, Yahya Kooch
2) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
3) An Improved K-Means Algorithm for Gene Expression Data Clustering
Billel Kenidra, Mohamed Benmohammed
4) 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
5) CoP-Networks: Virtual Spaces for New Faculty’s Professional Development in the 21st Higher Education
Eman AbuKhousa, Marwan Z. Bataineh
6) The Trend of Injuries in Building Fire in Tehran from 2002 to 2012
Mohammadreza Ashouri, Majid Bayatian
7) Application of Data Mining Techniques for Tourism Knowledge Discovery
Teklu Urgessa, Wookjae Maeng, Joong Seek Lee
8) 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
9) Implementation of an IoT Sensor Data Collection and Analysis Library
Jihyun Song, Kyeongjoo Kim, Minsoo Lee
10) An Improvement of Multi-Label Image Classification Method Based on Histogram of Oriented Gradient
Ziad Abdallah, Mohamad Oueidat, Ali El-Zaart
11) Seismic Base Shear Force Depending on Building Fundamental Period and Site Conditions: Deterministic Formulation and Probabilistic Analysis
S. Dorbani, M. Badaoui, D. Benouar
12) A Computational Cost-Effective Clustering Algorithm in Multidimensional Space Using the Manhattan Metric: Application to the Global Terrorism Database
Semeh Ben Salem, Sami Naouali, Moetez Sallami
13) Knowledge Discovery and Data Mining Techniques in Textile Industry
Filiz Ersoz, Taner Ersoz, Erkin Guler
14) Generic Data Warehousing for Consumer Electronics Retail Industry
S. Habte, K. Ouazzane, P. Patel, S. Patel
15) Development of Energy Benchmarks Using Mandatory Energy and Emissions Reporting Data: Ontario Post-Secondary Residences
C. Xavier Mendieta, J. J McArthur

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