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Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or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.
Selected Papers
-
Building an Integrated Relational Database from Swiss Nutrition National Survey and Swiss Health Datasets for Data Mining Purposes
Ilona Mewes, Helena Jenzer, Farshideh Einsele
-
Integration of Educational Data Mining Models to a Web-Based Support System for Predicting High School Student Performance
Sokkhey Phauk, Takeo Okazaki
-
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
-
Model of Optimal Centroids Approach for Multivariate Data Classification
Pham Van Nha, Le Cam Binh
-
Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
-
Corporate Social Responsibility and Corporate Reputation: A Bibliometric Analysis
Songdi Li, Louise Spry, Tony Woodall
-
Ordinal Regression with Fenton-Wilkinson Order Statistics: A Case Study of an Orienteering Race
Joonas Pääkkönen
-
AniMoveMineR: Animal Behavior Exploratory Analysis Using Association Rules Mining
Suelane Garcia Fontes, Silvio Luiz Stanzani, Pedro L. Pizzigatti Corrła Ronaldo G. Morato
-
Association Rules Mining and NOSQL Oriented Document in Big Data
Sarra Senhadji, Imene Benzeguimi, Zohra Yagoub
-
From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone
-
Using Textual Pre-Processing and Text Mining to Create Semantic Links
Ricardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo
-
Lead and Cadmium Spatial Pattern and Risk Assessment around Coal Mine in Hyrcanian Forest, North Iran
Mahsa Tavakoli, Seyed Mohammad Hojjati, Yahya Kooch
-
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
Digital Program consists of the e-proceedings book which is available online-only
and includes the conference communications (proceedings abstracts and papers).
Registered participants can access the digitally available conference
proceedings ( and certificates ) by visiting their profile pages.
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 |
|
April 15, 2021 |
Notification of Acceptance/Rejection |
|
April 30, 2021 |
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
September 30, 2021 |
Conference Dates |
|
October 28-29, 2021 |
Moath Jamal Abed Awawdeh |
University of Genova, IT |
Moath awawdeh |
University of Genova, IT |
Stefania Tomasiello |
University of Basilicata, IT |
Giuseppina Gini |
Politecnico di Milano, IT |
Mohammed Rezaul Karim |
Guildhall College, UK |
Huseyin Seker |
De Montfort University, UK |
Rushit Dave |
University Of Wisconsin, Eau Claire, US |
Jinyue Song |
University of California Davis, US |
Himanshu Joshi |
Icahn School of Medicine at Mount Sinai, US |
Zachary Collier |
University of Delaware, US |
Mahdi Imani |
George Washington 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 |
Participation Type |
Early Registration Ticket Fees |
Registration Ticket 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.