The Sixth International Conference on Big Data, Small Data, Linked Data and Open Data

ALLDATA 2020

February 23, 2020 to February 27, 2020 - Lisbon, Portugal

Deadlines

Submission

Nov 12, 2019

Notification

Dec 13, 2019

Registration

Dec 27, 2019

Camera ready

Jan 09, 2020

Publication

Published by IARIA XPS Press

Archived in the free access 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

ALLDATA 2020 - The Sixth International Conference on Big Data, Small Data, Linked Data and Open Data

February 23, 2020 - February 27, 2020

ALLDATA 2020: Awards
Onsite and Online Options: In order to accommodate a large number of situations, we are offering the option for either physical presence or virtual participation (pdf slides or pre-recorded videos).

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

Designing a Data Logistics and Model Deployment Service
Jedrzej Rybicki

DFSCC: A Distributed Framework for Secure Computation and Sharing in the Cloud
Mamadou Diallo, Christopher Graves, Michael August, Verinder Rana, Kevin Groarke

 

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

Development and Implementation of an Ontology to Support the Product Development of Smart Textiles Using Open Innovation Platforms
Inga Gehrke, Magnus Knuth, Sabine Kolvenbach, Urs Riedlinger, Thomas Gries, Sebastian Tramp

Statistical Analysis of Stock Profits to Evaluate Performance of Markets
Yoshihisa Udagawa

An Overview of Arithmetic Adaptations for Inference of Convolutional Neural Networks on Re-configurable Hardware
Ilkay Wunderlich, Benjamin Koch, Sven Schönfeld