The Ninth International Conference on Data Analytics

DATA ANALYTICS 2020

October 25, 2020 to October 29, 2020 - Nice, France

Deadlines

Submission

Jul 20, 2020

Notification

Aug 18, 2020

Registration

Aug 30, 2020

Camera ready

Sep 11, 2020

Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).

Publication

Published by IARIA Press (operated by Xpert Publishing Services)

Archived in the Open Access IARIA ThinkMind Digital Library

Prints available at Curran Associates, Inc.

Authors of selected papers will be invited to submit extended versions to a IARIA Journal

Indexing Procedure

Affiliated Journals

DATA ANALYTICS 2020 - The Ninth International Conference on Data Analytics

October 25, 2020 - October 29, 2020

DATA ANALYTICS 2020: Awards

The papers listed below have been selected as "Best Papers" based on the reviews of the original submission, the camera-ready version, and the presentation during the conference. For the awarded papers, a digital award will be issued in the name of the authors. The authors of these papers are also receiving invitations to submit an extended article version to one of the IARIA Journals.

 

Awarded Papers

Seasonality Modeling Through LSTM Network in Inflation-Indexed Swaps
Pier Giuseppe Giribon

A Data-Driven Approach for Eye Disease Classification in Relation to Demographic and Weather Factors Using Computational Intelligence Software
Amna Alalawi, Les Sztandera, Parth Lalakia, Anthony Vipin Das, Gumpili Prashanthi

 

The following papers have been selected on the basis of their contents, specificaly for lending themselves to an interesting extended work. The authors of these papers are receiving invitations to submit an extended article version to one of the IARIA Journals.

Papers Invited for IARIA Journals

Detecting Users from Website Sessions: A Simulation Study
Corné de Ruijt, Sandjai Bhulai

Hybrid Transactional and Analytical Processing Databases: A Systematic Literature Review
Daniel Hieber, Gregor Grambow

An Intelligent Recommender System for E-learning Process Personalization: A Case Study in Maritime Education
Stefanos Karnavas, Alexandros Bousdekis, Stavroula Barbounaki, Dimitris Kardaras

Technical Co-Sponsors and Logistic Supporters