Sur l’agenda 7 septembre 2017

Open Science Fair 2017

Athènes, Grèce

What are the elements required in the transition to open access ? How do we change the culture to publish research in a more open manner ? What tools and services are needed to support research ? These and other key topics will be presented over the three day conference, facilitating a cutting edge and lively forum around the elements required for the transition to Open Science. Experts from around the world will come together to explore e-infrastructures and services, offer expertise about policies as guidance for good practices, identify research flows and ways of improvement. Projects, initiatives and researchers will have the opportunity to showcase their work, through open calls for workshops, hands-on training and posters. The Fair will bring experts together from around the world, offering unique insights on the changing culture towards a more open science.

This first conference is organized jointly by four EU funded consortia in the area of Open Science : OpenAIRE (www.openaire.eu), OpenUP (www.openup-h2020.eu), Foster (www.fosteropenscience.eu) and OpenMinTeD (www.openminted.eu) who share the vision of a science that is free of accessibility and information barriers and is an enabler of social innovation. It is partly supported by the EOSCpilot project (www.eoscpilot.eu) which aims to build a seamless open research environment for Europe.


Le site de la conférence

Big Data Analysis and Data Mining

Paris, France

About Conference

Conference series LLC cordially invites all participants across the globe to attend the 4th International Conference on Big Data Analysis and Data Mining (Data Mining 2017) which is going to be held during September 07-08 in Paris, France to share the Future Technologies for Knowledge Discoveries in Data" and technology. The main theme of the conference is “Future Technologies for Knowledge Discoveries in Data". This conference aimed to expand its coverage in the areas of Big Data and Data Mining where expert talks, young researcher’s presentations will be placed in every session of the meeting will be inspired and keep up your enthusiasm. We feel our expert Organizing Committee is our major asset, however your presence over the venue will add one more feather to the crown of Data Mining 2017.

Data Mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data Mining 2017 is comprised of the following sessions with 25 tracks and 133 sub sessions designed to offer comprehensive sessions that address current issues of Big Data and Data Mining. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining tools can answer business questions that traditionally were too time-consuming to resolve.


Le site de la conférence