The ICT Innovations conference series has established itself as an international forum for presenting scientific results related to innovative fundamental and applied research in ICT. The conference aims to bring together academics as well as industrial practitioners, to share their most recent research, practical solutions and experiences and to discuss the trends, opportunities and challenges in the field of Big Data. A number of plenary talks, special sessions and workshops will supplement the main Conference agenda.
The focal point for this year’s conference is Big Data Processing and Mining.
Big Data is heralded as one of the most exciting challenges in data science and next frontier for innovations. The spread of smart, ubiquitous computing and social networking have brought to light more information to consider. Vast amounts of heterogeneous, multi-modal, noisy and dynamic data are generated from diverse type of applications, such as social media, sensors, Internet of Things, scientific applications, surveillance, video and image streams. Storage, integration, processing and analysis of massive quantities of data pose significant challenges that are yet to be fully addressed.
A significant research and development front in the field of machine learning and data analytics has been established. Extracting patterns from big data that offer insights and understanding provides an exciting new platform and objectives for behavioral analytics, predictive and prescriptive modeling and knowledge discovery. By leveraging the advances in deep learning, stream analytics, large-scale graph analysis and distributed data mining, a remarkable number of complex and multi-faceted tasks in fields like, biology, games, robotics, commerce, transportation and health care have been brought within reach.
We want to bring some of these topics to the forefront of the ICT 2019 conference. While we anticipate a broad technical program, we are especially interested in papers that address all aspects of big data mining, including algorithms, models, systems, and applications.
Conference topics of interest include but are not limited to:
Prof. Sonja Gievska, PhD
Prof. Gjorgji Madjarov, PhD
Machine Learning Optimization and Modeling: Challenges and Solutions to Data Deluge
Computing and probing cancer immunity
Bioinformatics approaches for sing cell transcriptomics and big omics data analysis
Crosslingual Document Embedding as Reduced-Rank Ridge Regression