Welcome to MT4BD 2016

Due to increase demand, the deadline for regular papers submission has been extended till May 7th, 2016

Creator: Tilemahos Efthimiadis; Distributed under Creative Commons Lisence

photo source: flickr

16-18 September 2016, Thessaloniki, Greece

Part of 12th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2016)

The provision of large amount of data from various sources (Internet, Social Media, Application Logs, Data Warehouses, Sensors, Mobiles, Open Data, etc.) is now emerging into the collection and processing of “Big Data”. While Big Data notion is adopted by both academic and enterprise communities, there is currently a wide gap between its potential and its realization. Variety, velocity, scale, complexity, interpretation and security problems with Big Data raise challenges at all phases of the pipeline that can extract information and knowledge from it. Thus, there is a natural interest in using these data assets to improve a variety of applications. It is very interesting to explore how researchers utilize data-driven strategies and discover what disciplines will change because of the advent of data. With the vast amount of data now available, modern businesses are facing the challenges of storage, management, analysis, privacy, visualization, security and data integration.

The aim of 3rd Workshop on “New Methods and Tools for Big Data (MT4BD-2016)” is to serve as an interdisciplinary forum for bringing together specialists from the scientific areas of Computer Engineering, Bioinformatics-Personalized Medicine, Finance and Operational Research. The focus of this workshop is on current technological advances and challenges about the development of big data-driven algorithms and methods and tools. Furthermore, it would be very interesting to investigate if the use of a vast amount of data leads to more accurate models or not.

Accepted papers will be presented at the conference and included in the proceedings, which will be published by SPRINGER in the IFIP AICT Lecture Notes in Computer Science, and they will be available on site.

The MT4BD workshop had its successful:

One outcome of the previous workshops was a landscape of the topics and issues related to motivational and affective aspects in big data intelligent analysis. Since then, the organizers have further promoted the formation of a community around the topic and they are looking forward to gather this year an increased number of researchers and practitioners.