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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on CD-ROM support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Engineering Village Index) and Scopus.


KomIS 2015Special Session on Knowledge Discovery meets Information Systems: Applications of Big Data Analytics and BI - methodologies, techniques and tools
Chair(s): Antonio Picariello and Mario Mezzanzanica

Special Session on Knowledge Discovery meets Information Systems: Applications of Big Data Analytics and BI - methodologies, techniques and tools - KomIS 2015


Antonio Picariello
Università di Napoli Federico II
Mario Mezzanzanica
Università Di Milano Bicocca

Following the success of the first KomIS edition (held in Vienna, Austria) and the positive feedbacks given by 40+ people attended, we are happy to announce the 2nd edition of KomIS, that will be held in Colmar, Alsace, France, as special session of the DATA 2015 conference. The challenges and discussions that emerged in the last year's edition amongst speakers, attendees, and reviewers set the baseline for this year's. Thus, KomIS 2015 will report experiences and lessons learned tackling with “Applications of Big Data Analytics and BI - methodologies, techniques and tools”.

Today huge masses of data are available, thanks to the wide diffusion of Information Systems, which represent the backbone of an increasing number of services and applications. Actually, Enterprises and PAs executives recognise that timely, accurate and significant knowledge derived from these data represent a valuable value as they allow one to deeply understand social, economic, and business phenomena and to improve competitiveness in a dynamic business environment. Here, leveraging Knowledge Discovery techniques to such Information Systems can play a key role, especially in BI applications whose aims are to combine and analyse very large volumes of data to obtain meaningful and useful information for business goals.

The purpose of this special session is to foster a cross-fertilisation between researchers working on Knowledge Discovery and Information Systems with a particular focus on Big Data analytics and BI applications in real-life scenarios, that usually involves computer scientists, mathematicians, and statisticians working in close cooperation with application domain-experts.

We encourage contributions focusing and reporting experiences and lessons learned in dealing with real-world data applications in public or private sectors. Contributions should discuss the challenges tackled and the solutions adopted, figuring out how one or more of the Knowledge Discovery tasks have been addressed, such as data sources selection and integration, data processing, transformation and cleaning, data mining, data design and visualisation. Furthermore, the sheer volume of available data also raises significant security and privacy concerns, including the potential for inferring sensitive information by combining multiple pieces of non-sensitive information. In order to prevent data leaks and data contamination, decision makers in different roles and with different clearance levels must be presented with different bodies of knowledge, in accordance with their respective clearance level and on a need-to-know basis.

This special session is the ideal venue for discussing what can be shared in terms of experience, techniques, tools, modelling paradigms, real-life problems and to identify new directions on this topic.