Home      Log In      Contacts      FAQs      INSTICC Portal

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 digital 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 Web of Science / Conference Proceedings Citation Index, DBLP, EI and SCOPUS.


KomIS 2014Special Session on Knowledge Discovery meets Information Systems: Experiences and Lessons Learned Dealing with Real-life Scenarios
Chair(s): Mario Mezzanzanica and Antonio Picariello

Special Session on Knowledge Discovery meets Information Systems: Experiences and Lessons Learned Dealing with Real-life Scenarios - KomIS 2014


Mario Mezzanzanica
Dipartimento Di Scienze Statistiche, Università Di Milano Bicocca
Antonio Picariello
Università di Napoli Federico II

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, the application of Knowledge Discovery techniques to such Information Systems can play a key role.

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 real-life applications, involving computer scientists, mathematicians, and statisticians working in close cooperation with application domain-experts.