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 WORLDCOMP
 

Tutorial Sessions/Invited Talks

All tutorials and invited talks are free to registered conference attendees of all conferences held at WOLDCOMP'15. Those who are interested in attending one or more of the tutorials are to sign up on site at the conference registration desk in Las Vegas. A complete & current list of WORLDCOMP Tutorials can be found here.

In addition to tutorials at other conferences, DMIN'15 aims at providing a set of tutorials dedicated to Data Mining topics. The 2007 key tutorial was given by Prof. Eamonn Keogh on Time Series Clustering. The 2008 key tutorial was presented by Mikhail Golovnya (Senior Scientist, Salford Systems, USA) on Advanced Data Mining Methodologies. DMIN'09 provided four tutorials presented by Prof. Nitesh V. Chawla on Data Mining with Sensitivity to Rare Events and Class Imbalance, Prof. Asim Roy on Autonomous Machine Learning, Dan Steinberg (CEO of Salford Systems) on Advanced Data Mining Methodologies, and Peter Geczy on Emerging Human-Web Interaction Research. DMIN'10 hosted a tutorial presented by Prof. Vladimir Cherkassky on Advanced Methodologies for Learning with Sparse Data. He was a keynote speaker as well (Predictive Data Modeling and the Nature of Scientific Discovery). In 2011, Gary M. Weiss (Fordham University, USA) presented a tutorial on Smart Phone-Based Sensor Data Mining. Michael Mahoney (Stanford University, USA) gave a tutorial on Geometric Tools for Identifying Structure in Large Social and Information Networks. DMIN'12 hosted a talk given by Sofus A. Macskassy (Univ. of Southern California, USA) on  Mining Social Media: The Importance of Combining Network and Content as well as a talk given by Haym Hirsh (Rutgers University, USA): Getting the Most Bang for Your Buck: The Efficient Use of Crowdsourced Labor for Data Annotation. Professor Hirsh was a WORLDCOMP keynote speaker, too. In addition, we hosted tutorials and invited talks held by Peter Geczy on Web Mining, Data Mining and Privacy: Water and Fire?, and Data Mining in Organizations. DMIN'13 hosted the following tutorials: EXTENSIONS and APPLICATIONS of UNIVERSUM LEARNING presented by Vladimir Cherkassky (Dept. Electrical & Computer Eng., University of Minnesota, Minneapolis, USA), Visualization & Data Mining for High Dimensional Datasets presented by Alfred Inselberg, (School of Mathematical Sciences, Tel Aviv University, Tel Aviv, Israel) as well as invited talks: Big Data = Big Challenges? given by Peter Geczy (National Institute of Advanced Industrial Science and Technology (AIST), Japan) and The Problem of Induction: When Karl Popper meets Big Data given by Vladimir Cherkassky.
 

DMIN' 15 will host the following tutorials/invited talks (as of July 1, 2015):

Invited Talks

Invited Talk A
Speaker Peter Geczy
National Institute of Advanced Industrial Science and Technology (AIST), Japan

Topic/Title Data Science: The Road Ahead
Date & Time Wednesday, July 29, 08:20 - 09:20 am
Location  Ballroom 1
Description

Rise of data, its diversity and complexity over the past several years has been unprecedented. Data grows at an estimated exponential rate with no deceleration expected in the mid-term future. The current trend in data increase is already significantly affecting numerous areas of commercial, social and scientific domains. Expansion of data notably outpaces our contemporary technological capacities to suitably process and manage it. The rising discrepancy between the data expansion and our technological means to cope with it highlights the pressing need for development of coordinated scientific approaches. Data Science represents a novel interdisciplinary endeavor to address these issues. In order to succeed, however, it must successfully encompass three core domains: research, education and commercial applications. We shall explore the essential interplays between these core domains and promising avenues ahead.

Short Bio

Dr. Peter Geczy holds a senior position at the National Institute of Advanced Industrial Science and Technology (AIST). His recent research interests are in information technology intelligence. This multidisciplinary research encompasses development and exploration of future and cutting-edge information technologies. It also examines their impacts on societies, organizations and individuals. Such interdisciplinary scientific interests have led him across domains of technology management and innovation, data science, service science, knowledge management, business intelligence, computational intelligence, and social intelligence. Dr. Geczy received several awards in recognition of his accomplishments. He has been serving on various professional boards and committees, and has been a distinguished speaker in academia and industry. He is a senior member of IEEE and has been an active member of INFORMS and INNS.

 

Invited Talk B
Speaker Diego Galar, Division of Operation and Maintenance Engineering,
LuleŚ University of Technology, 971 87 Lulea, Sweden

Topic/Title Data Mining for RUL estimation of complex assets
Date & Time  
Monday, July 27, 3:20 - 04:00pm
Location Ballroom 1
Description
Assets necessarily suffer wear and tear during operation. Prognostics can assess the current health of a system and predict its remaining useful life (RUL) based on features captureing the gradual degradation of its operational capabilities.  As there are many prognostic techniques, usage must be attuned to particular applications. Indeed the estimation of RUL for complex systems like aircrafts is a real challenge due to the huge amount of data involved in the process. This information is increasing exponentially collected from disparate data sources and with different nature and granularity, therefore there is a real need of context engines to establish meaningful data links for further explotation and exploration. The talk addresses the process of data aggregation and mining into a contextual awareness model to get RUL values within logical confidence intervals so that the life cycle of assets can be managed and optimised. 
Short Bio
Prof. Diego Galar holds a M.Sc. in Telecommunications and a PhD degree in Design and Manufacturing from the University of Saragossa. He has been Professor in several universities, including the University of Saragossa or the European University of Madrid, researcher in the Department of Design and Manufacturing Engineering in  the University of Saragossa, researcher also in I3A, Institute for engineering research in Aragon, director of academic innovation and subsequently pro-vice-chancellor. He has authored more than hundred journal and conference papers, books and technical reports in the field of maintenance, working also as member of editorial boards, scientific committees and chairing international journals and conferences. In industry, he has been technological director and CBM manager of international companies, and actively participated in national and international committees for standardization and R&D in the topics of reliability and maintenance. Currently, he is Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering at LTU, LuleŚ University of Technology, where he is coordinating several EU-FP7 projects related to different maintenance aspects and is also involved in the SKF UTC centre located in Lulea focused in SMART bearings. In the international arena, he has been visiting Professor in the Polytechnic of Braganza (Portugal) and NIU (USA), currently University of Valencia, University of Sunderland (UK), University of Maryland (USA).

Tutorials

Tutorial A
Speaker Diego Galar, Division of Operation and Maintenance Engineering,
LuleŚ University of Technology, 971 87 Lulea, Sweden

 

Topic/Title

eMaintenance: Knowledge Discovery in asset data by the means of data mining

Date & Time Tuesday July 28, 2015 (06:00pm - estimated duration: about 2+ hours)
Location Ballroom 1
Description

Assets are composed by multiple complex systems. Each system is built with components which, over time, may fail. When a component does fail, it is difficult to identify it because the effects or problems that the failure has on the system are often neither obvious in terms of their source nor unique. These problems have been historically solved by experienced personnel with in-depth training and experience. Typically, these experts used available information recorded in a log. Looking through the log, they used their accumulated expertise to link incidents to the problems that may be causing them. Indeed the complexity of the assets as systems of systems has shifted the diagnosis, prognosis and other maintenance services from physics based to data driven. Moreover, the data collected are often dispersed across independent systems that are difficult to access, fuse and mine due to disparate nature and granularity. If the data from these independent systems are combined into a common correlated data source, this new set of information could add value to the individual data sources by the means of data mining.
The tutorial is recommended for researchers and practitioners who are interested in knowledge extraction from asset data, no matter the nature, the size or other properties. During the tutorial the attendees will have the opportunity to see the different data types with disparate nature and granularity present in asset management with examples of systems which collect and record this data. Integration of the asset data with common taxonomies will be also presented in a simple way to show the possibilities offered by properly prepared data in the needful data mining process.

The way of presenting the state of the art of eMaintenance will be as a case oriented tutorial where success stories from different sectors like transportation (aircraft or railway) and process industry will be presented.

Short Bio Prof. Diego Galar holds a M.Sc. in Telecommunications and a PhD degree in Design and Manufacturing from the University of Saragossa. He has been Professor in several universities, including the University of Saragossa or the European University of Madrid, researcher in the Department of Design and Manufacturing Engineering in  the University of Saragossa, researcher also in I3A, Institute for engineering research in Aragon, director of academic innovation and subsequently pro-vice-chancellor. He has authored more than hundred journal and conference papers, books and technical reports in the field of maintenance, working also as member of editorial boards, scientific committees and chairing international journals and conferences. In industry, he has been technological director and CBM manager of international companies, and actively participated in national and international committees for standardization and R&D in the topics of reliability and maintenance. Currently, he is Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering at LTU, LuleŚ University of Technology, where he is coordinating several EU-FP7 projects related to different maintenance aspects and is also involved in the SKF UTC centre located in Lulea focused in SMART bearings. In the international arena, he has been visiting Professor in the Polytechnic of Braganza (Portugal) and NIU (USA), currently University of Valencia, University of Sunderland (UK), University of Maryland (USA).

 

DMIN'14

DMIN'13DMIN'12

DMIN'11DMIN'10

DMIN'09DMIN'08

DMIN'07DMIN'06

 

 

Contact

Robert Stahlbock
General Conference Chair

E-mail: conference-chair@dmin-2015.com


Robert Stahlbock. Sven F. Crone, Gary M. Weiss

Programme Co-Chairs

E-mail: programme-chair@dmin-2015.com

 

This website is hosted by the Lancaster Centre for Forecasting at the Department of Management Science at Lancaster University Management School.

 

 

 

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