ICCSDA 2021: 15. International Conference on Computational Statistics and Data Analysis

October 28-29, 2021 in Lisbon, Portugal

Conference Code: 21PT10ICCSDA

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The International Research Conference Aims and Objectives

The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations. With its high quality, it provides an exceptional value for students, academics and industry researchers.

ICCSDA 2021: 15. International Conference on Computational Statistics and Data Analysis 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 Statistics and Data Analysis. 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 Statistics and Data Analysis

Call for Contributions

Prospective 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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Computational Statistics and Data Analysis are cordially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.

Guidelines for Authors

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 Guideline, Abstract Submission Guideline and Author Information before submitting your paper.

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 2021 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.

Application Forms

Selected Papers

Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
Lead and Cadmium Spatial Pattern and Risk Assessment around Coal Mine in Hyrcanian Forest, North Iran
Mahsa Tavakoli, Seyed Mohammad Hojjati, Yahya Kooch
Using Textual Pre-Processing and Text Mining to Create Semantic Links
Ricardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo
From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone
A Bayesian Classification System for Facilitating an Institutional Risk Profile Definition
Roman Graf, Sergiu Gordea, Heather M. Ryan
Developing Structured Sizing Systems for Manufacturing Ready-Made Garments of Indian Females Using Decision Tree-Based Data Mining
Hina Kausher, Sangita Srivastava
Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
An Improved K-Means Algorithm for Gene Expression Data Clustering
Billel Kenidra, Mohamed Benmohammed
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
CoP-Networks: Virtual Spaces for New Faculty’s Professional Development in the 21st Higher Education
Eman AbuKhousa, Marwan Z. Bataineh
The Trend of Injuries in Building Fire in Tehran from 2002 to 2012
Mohammadreza Ashouri, Majid Bayatian
Application of Data Mining Techniques for Tourism Knowledge Discovery
Teklu Urgessa, Wookjae Maeng, Joong Seek Lee
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
Implementation of an IoT Sensor Data Collection and Analysis Library
Jihyun Song, Kyeongjoo Kim, Minsoo Lee
Seismic Base Shear Force Depending on Building Fundamental Period and Site Conditions: Deterministic Formulation and Probabilistic Analysis
S. Dorbani, M. Badaoui, D. Benouar

Advances in Mixture Models
Analysis of Symbolic and Structured Data
Applications in Macro-Economics, Finance and Marketing
Association Rules
Bayesian Computation methods
Biostatistics and Bio-computing
Business Intelligence
Categorical Data Analysis
Classification and Discrimination
Clinical Trials
Clustering
Computational Bayesian Methods
Computational Econometrics
Computational Methods for Industry
Computational Methods in Official Statistics
Computational Statistics in Finance
Computational Statistics Teaching
Computer-intensive methods for dependent data
Data Analysis Techniques for Evaluating Trading Strategies
Data assimilation and its application
Data Mining
Data Streams and Massive data
Design of Experiments
Dimensionality Reduction
Econometrics and Statistical Finance
Environmental Statistics and Climate Change
Financial econometrics
Flexible function estimation in high dimensional problems
Functional Data Analysis
Functional Genomics: Computational and Statistical Aspects
Fuzzy Statistical Analysis
Genomics and Microarray Data Analysis
Graphical Models and Bayes Nets Computation
Graphics and Data Visualization
Image and Signal Processing
Imprecise Data and Fuzzy Methods
Internet Based Methods
Latent Variable and Structural Equation Models
Machine Learning and Scientific Computing
Matrix Computations and Statistics
Metadata and Data Representation
Mixed models for Complex and Large Problems
Model Selection, Computational Methods, and Optimization Heuristics
Models and methods for Customer Relationship Management
Multiple Testing Procedures
Multivariate Data Analysis
Neural Networks and Genetic Algorithms
New developments in software for statistical computing
Nonlinear time series modelling
Nonparametric Statistics and Smoothing
Optimization Algorithms
Partial Least Squares: A Framework for Data Analysis and Statistical Modeling
Pattern Recognition
QR factorizations and other rank-revealing factorizations
QStatistical Learning Methods involving Dimensionality Reduction
Random Search Algorithms
Recursive Partitioning and related methods
Resampling Methods
Risk Analysis and Scoring
Robust and Nonparametric Methods
Robust data mining
Robustness
Sensometrics
Signal Extraction and Filtering
Simulation
Software Development Projects
Software Evaluation
Spatial Statistics
Statistical Algorithms and Software
Statistical Databases
Statistical Education and Web Based Teaching
Statistical Matching and Data Imputation
Statistical Methods for Marketing
Statistical Signal Extraction and Filtering
Statistics for Functional data
Structural Equations Models

Abstracts/Full-Text Paper Submission Deadline		February 27, 2020
Notification of Acceptance/Rejection		March 12, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline		September 30, 2021
Conference Dates		October 28-29, 2021

Irina Neaga	University of Wales Trinity St David, School of Engineering and Logistics, GB
Cosmin Lazar	Unilever UK, GB
Elena Irina Neaga NEAGA	Loughborough University, GB
Mohammed Rezaul Karim	Guildhall College, UK
Huseyin Seker	De Montfort University, UK
Mahdi Imani	George Washington University, US
Mahdieh Zabihimayvan	Wright State University, US
Hamza Saad	Binghamton University, US
Subhrangshu Nandi	University of Wisconsin–Madison, US
Shari Messinger	University of Miami, US
Ayush Singhal	University of Minnesota, Twin Cities, US
Thuan Nguyen	School of Management - University of Texas at Dallas, US
Shanshan Tuo	xAd Inc, US
Erin Hodgess	University of Houston-Downtown, US
Matthew Zagumny	Tennessee Technological University, US
Mohammed Korayem	CareerBuilder, LLC., US
Sandeep Reddivari	University of North Florida, US
Yu Zhang	EMC Corporation, US
Yu Zeng	Duke University, US
Arjun Gupta	Bowling Green State University, US
Fan Wang	Microsoft Corporation, US
Venkat Krishnan	Iowa State University, US
Katerina Tsakiri	NOVA Southeastern University, US
Victor Sheng	University of Central Arkansas, US
BIN SONG	Oracle America, Inc, US
Dana Anderson	University of Colorado at Boulder, US
Anilkumar Devarapu	Albany State University, US
Gang Qi	University of Memphis, US
Broderick Oluyede	Georgia Southern University, US
K Ranee Thiagarajah	Illinois State University, US

Participation Type	Early Registration Fees	Registration Fees
Non-Student Oral/Poster Presenter Registration	€ 450	€ 500
Student Oral/Poster Presenter Registration	€ 350	€ 400
Listener Registration	€ 250	€ 300
Additional Paper Publication	€ 100

All conference materials and services will be delivered digitally to the participant with the online conference management system. Conference registration includes the following digital materials and services:

e-certificates [for Authors: Certificate of Attendance and Presentation; for Listeners: Certificate of Attendance; for Chairs: Certificate of Attendance and Appreciation; for Presenters: Certificate of Best Presentation (if conferred based appraisal)]
e-program
e-book
e-name badge
e-receipt
e-presentation

Presentation Types:

Physical presentation is an oral conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.
Digital presentation is a digital conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.

Early Bird Registration

Early Bird registration is valid until 2021-09-30 23:59:59

Online Credit Card Processing

Online payment option available for author and listener delegates.
Conference participants can make online credit card payments for conference registration fees.