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.
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SPECIAL SESSIONS LIST
KomIS 2017, Special Session on Knowledge Discovery meets Information Systems: Applications of Big Data Analytics and BI - methodologies, techniques and tools
Chair(s): Antonio Picariello, Mario Mezzanzanica and Fabio Mercorio
Special Session on Knowledge Discovery meets Information Systems: Applications of Big Data Analytics and BI - methodologies, techniques and tools -
May 15, 2017
May 29, 2017
Camera Ready and Registration:
June 6, 2017
Following the success of the second KomIS edition in 2015 held in Colmar, Alsace (the conference best paper has been awarded to a KomIS paper!) and the positive feedbacks given by 70+ people attended over the past two editions, we are happy to announce the 3rd edition of KomIS, that will be held in Madrid, Spain, as special session of the DATA 2017 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 2017 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.