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Keynote Lectures

Data Mining in the XXI Century
João Gama, LIAAD - INESC TEC, University of Porto, Portugal

Is IoT Ready for the Real World? A Systems Research Perspective
Gian Pietro Picco, University of Trento, Italy

The Past, Present and Future of Business Process Management
Jan Mendling, Vienna University of Economics and Business, Austria

 

Data Mining in the XXI Century

João Gama
LIAAD - INESC TEC, University of Porto
Portugal
 

Brief Bio
João Gama is an Associate Professor at the University of Porto, Portugal. He is also a senior researcher and member of the board of directors of the Laboratory of Artificial Intelligence and Decision Support (LIAAD), a group belonging to INESC Porto. João Gama serves as the member of the Editorial Board of Machine Learning Journal, Data Mining and Knowledge Discovery, Intelligent Data Analysis and New Generation Computing. He served as Co-chair of ECML 2005, DS09, ADMA09 and a series of Workshops on KDDS and Knowledge Discovery from Sensor Data with ACM SIGKDD. He was also the chair for the conference of Intelligent Data Analysis 2011. His main research interest is in knowledge discovery from data streams and evolving data. He is the author of more than 200 papers reviewed by peers and author of a recent book on Knowledge Discovery from Data Streams. He has extensive publications in the area of data stream learning.


Abstract
Nowadays, there are applications in which the data are modelled best not as persistent tables, but rather as transient data streams. In this keynote, we discuss the limitations of current machine learning and data mining algorithms. We discuss the fundamental issues in learning in dynamic environments like learning decision models that evolve over time, learning and forgetting, concept drift and change detection. Data streams are characterized by huge amounts of data that introduce new constraints in the design of learning algorithms: limited computational resources in terms of memory, processing time and CPU power. In this talk, we present some illustrative algorithms designed to taking these constrains into account. We identify the main issues and current challenges that emerge in learning from data streams, and present open research lines for further developments.



 

 

Is IoT Ready for the Real World? A Systems Research Perspective

Gian Pietro Picco
University of Trento
Italy
 

Brief Bio
Gian Pietro Picco is a professor in the Department of Information Engineering and Computer Science (DISI) at the University of Trento, Italy. His research spans the fields of software engineering, middleware, and networking, and is currently oriented towards wireless sensor networks, Internet of Things and Cyber-Physical systems, mobile computing, and large-scale distributed systems. 
The research performed in his group combines theoretical study and in-field validation in real-world applications, and has led to several awards, including a “Most Influential Paper” at ICSE’07 (for a paper published a decade earlier) and Best Paper Awards at IPSN (2009, 2011, 2015) and PerCom (2012). He is an associate editor for ACM Trans. on Sensor Networks (TOSN), and has served in the same role for IEEE Trans. on Software Engineering (TSE) and the J. of Pervasive and Mobile Computing.


Abstract
Available soon.



 

 

The Past, Present and Future of Business Process Management

Jan Mendling
Vienna University of Economics and Business
Austria
 

Brief Bio
Jan Mendling is a Full Professor with the Institute for Information Business at Wirtschaftsuniversität Wien, Austria. His research interests include business process management and information systems. He has published more than 300 research papers and articles, among others in the Journal of the Association of Information Systems, ACM Transactions on Software Engineering and Methodology, IEEE Transaction on Software Engineering, Information Systems, European Journal of Information Systems, and Decision Support Systems. He is a board member of the Austrian Society for Process Management, one of the founders of the Berliner BPM-Offensive, and member of the IEEE Task Force on Process Mining. He is a co-author of the textbooks Fundamentals of Business Process Management and Wirtschaftsinformatik.


Abstract
Business process management has its roots in workflow modeling and office automation in the 1970s. Since then, it has been closely intertwined with various trends and developments in the area of information system engineering. This talk reflects upon this co-evolution and comments on emerging trends of both fields including blockchain and robotic process automation.



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