Special Session on
Knowledge Discovery meets Information Systems: Applications of Big Data Analytics and BI - methodologies, techniques and tools -
24 - 26 July, 2017 - Madrid, Spain
Within the 6th International Conference on Data Science, Technology and Applications - DATA 2017
Università di Napoli Federico II
Antonio Picariello is an Associate Professor of Computer Science and System at the University of Naples "Federico II", Department of Electrical and Computer Engineering (DIETI).
He is the co-founder of the Multimedia Systems Laboratory (MISLab) at DIS. His basic interests cover the areas of image analysis and processing, multimedia database, multimedia knowledge management and big data. His research principally focuses on the definition of logic framework for events and activity recognition from multimedia data (video, images and texts) as well as on the semantic processing of multimedia information. From an applicative point of view, his main contributions were in the fields of video surveillance, story creation from multiple data sources, text summarization, multimedia recommender systems and opinion analysis.
He is a member of the International Association for Pattern Recognition (IAPR) and serves as referee for many relevant journals in the field of Multimedia Database and knowledge management, and as Associate editor of the Artificial Intelligence Research (AIR) journal and ACM DISC. He served as General Chair, Program Chair and Program Committee Member of several primary International Conferences in the field of Multimedia Database, Semantic Processing and Multimedia Information Systems. He is member of an international research groups with University of Maryland (UM Institute of Advanced Computing Studies - Prof. V. S. Subrahmanian). He has a Patent (IS.2006-076-OASYS version 1.0 (Opinion Analysis System)" (2006) , and has got the 2005 ”ComputerWorld.com” Honorable Mentions for ”STORY” project.
Together with UMIACS, he is the winner of 2006 - ”ComputerWorld.com” Horizon Awards for ”OASYS” project. He is member of the National Laboratory of Big Data at CINI (National Italian Consortium for Computer Science).
Università Di Milano Bicocca
Mario Mezzanzanica is Associate Professor of “Information Systems” at the University of Milan Bicocca. He is the Scientific Director of the “CRISP” centre - Inter University Research Centre on public services. His research interests include Information Systems, Databases, Artificial Intelligence, Business Intelligence and Knowledge Discovery. He is member of the editorial board of international journals in the field of Artificial Intelligence and Information Systems. He has also been involved in several technical and scientific committees activated by Public Institutions, aimed at studying new models and methodologies to design, monitor and evaluation of innovation projects, with relevant impacts on ICT-based public services.
He has a strong experience in applying his research to real-life scenarios, as he partnered with the role of advice and coordination in several projects for innovation of public services at both national and regional level, working with the Italian Presidency of the Council of Ministers, the Italian Ministry of Labour and Social Security, the ISTAT (Italian National Institute for Statistics), the AIPA (Authority for Information Technology in Italian Public Administration), the Italian Ministry of Economy and Finance, CONSIP (Central Public Procurement Agency, a public stock company owned by Ministry of the Economy and Finance), as well as the main Italian Regions as Lombardy, Veneto, and Emilia Romagna.
Since 2010 he is the promoter and director of the Master “Business Intelligence and Decision Support Systems” provided by University of Milan Bicocca.
University of Milano-Bicocca
He is Assistant Professor of Computer Science at University of Milan-Bicocca, dept. of Statistics and Quantitative Methods. He holds a PhD in Computer Science and Application in 2012 at the University of L’Aquila, Italy. Since 2011 he has been research fellow at CRISP. His research interests include Artificial Intelligence Planning and Knowledge Discovery. His main contribution is in the design and development of an automated algorithm for performing Data Quality Analysis and Cleansing tasks through model-checking. On the AI Planning side, he contributed as co-designer and co-developer of UPMurphi, the state-of-the-art planner for hybrid systems specified through the PDDL+ language. He collaborated in the realisation of DiNo, an heuristic planner based on UPMurphi developed by the AI Planning Group at King’s College London.
He actually serves as referee for some relevant journals in the field of AI and data management, such as Applied Soft Computing, AI Communications, Knowledge-based Systems. He also serves as Program Committee Member of several primary International Conferences such as IJCAI,ECAI,ICAPS,ACM SAC,DATA. As member of the CRISP research team, he has been involved in many national and International research projects related to Data Management and Knowledge Discovery for supporting the decision making activities.
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.
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.
Topics of Interest
Topics of interest include, but are not limited to:
- Application of Big Data Analytics
- Business Intelligence in action
- Application of NoSQL solutions
- ETL (Extract Transform and Load) Techniques and Tools
- Data integration, heterogeneous and federated DBMS
- Data Preprocessing and Transformation
- Data Cleaning (or Cleansing)
- Data Privacy
- Longitudinal and Multivariate Data Analysis
- Exploiting off-the-shelf Machine Learning algorithms and tools
- Structured and weakly-structured data Management
- Content-based and Context-aware mining
- Automation of data extraction
- Domain-driven data mining
- Automated information extraction
- Automated retrieval of multimedia streams
- Automated retrieval from multimedia archives
- Semantic processing of multimedia information
- Recognition from multimedia data (video, images and texts)
- Data filtering and aggregation
- Intelligent, interactive, semi-automatic, multivariate Data Visualisation
It will be a one-day satellite event at the DATA 2017 Conference (The 6th International Conference on Data Technology and Applications).
The event will be a very small and specialised session to be held during the conference as a set of oral presentations (up to 9 papers) and round-the-table discussions led by the organisers. Each session will consist of presentations of technical papers, their commentaries, and a short discussion on the topic of papers. At the end of the day there will be a summary of outcomes and goals for the next such event.
We hope to inspire a sequence of events and the creation of an international collaborative network that will lead to the development of an off-shoot international community in Knowledge Discovery on real-life Information Systems.
May 15, 2017
May 29, 2017
Camera Ready and Registration:
June 6, 2017
Special Session Program Committee
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
After thorough reviewing by the special session program committee complemented by members of the main conference program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on CD-ROM support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), INSPEC, DBLP, EI (Elsevier Engineering Village Index) and Scopus.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library