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Seminarium Instytutu Informatyki


D. Ślęzak

Instytutu Informatyki zaprasza na seminarium w środę 27 kwietnia 2016 r. o godzinie 12:15 w Audytorium Centralnym. Referat pt. " From Interactive Search to Interactive Data Explorationwygłosi dr hab. Dominik Ślęzak, z Uniwersytetu Warszawskiego oraz Infobright. Serdecznie zapraszamy wszystkich zainteresowanych. Poniżej autorskie streszczenie referatu oraz krótka notka biograficzna.

Data exploration is a general term for a variety of methods aiming at data extraction and processing for the purposes of, e.g. advanced reporting and decision support. In particular, data exploration is in the heart of web analytics applications, where the process of constructing web-related data models goes in pair with investigating relations and trends over attributes of entities stored in those models. Similarly, data exploration plays an important role in fields such as internet of things, enterprise analytics, risk management or knowledge discovery from biomedical and multimedia data sets.
The essential feature of data exploration tools is to make it possible for users to interact with data. Only humans can specify exploration goals which can change based on results obtained so far. With that in regard, there is an ongoing research on how to decompose the workflows of complex data mining processes onto smaller pieces whose outcomes can be iteratively browsed by users. Another related challenge is to produce those outcomes sufficiently fast to keep the users engaged and to translate their feedback into parameters of algorithms utilized at further stages of the process. 
People interested in web intelligence will be quick to draw a parallel between the above aspects of interactive data exploration and the state-of-the-art techniques in a field of interactive search. On the one hand, a search space (a space of all searched entities versus a space of all data models and patterns) and a user profile (end-users of search systems versus data scientists and data modelling specialists) are quite different. However, on the other hand, the idea of presenting to the users examples or drafts of results and asking them to share their preferences remains analogous. 
As an illustration, a rough-set-based framework aiming at interactive attribute selection is discussed. This framework is designed to visually assist users in browsing through a realm of possible subsets of attributes. Moreover, it utilizes information about users’ actions to refine the attribute extraction process. It will also be shown how to modify this method to support a new interactive environment which facilitates a kind of faceted search. Hopefully, this example can be regarded as an additional confirmation that interactive data exploration and interactive search have quite a lot in common.
W załączeniu prezentacja z wystąpienia.

Notka biograficzna:
Dominik Ślęzak received his D.Sc. in 2011 from Institute of Computer Science, Polish Academy of Sciences, and Ph.D. in 2002 from University of Warsaw, Poland. In 2005, he co-founded Infobright, where he currently works as Chief Scientist. He is also Associate Professor in Institute of Informatics at University of Warsaw. He used to hold positions of Assistant Professor at University of Regina, Canada, and in Polish-Japanese Academy of Information Technology in Warsaw. 
Dominik edited over 20 books and volumes of conference proceedings. He authored over 150 papers for books, journals and conferences. He is also co-inventor in five granted US patents. He delivered invited lectures at over 20 international conferences, including keynote talk at IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) in 2015. His research interests include Knowledge Discovery, Data Mining, Business Intelligence, Approximate Computing and Rough Sets. In 2012-2014 he served as President of International Rough Set Society (IRSS). In 2015 he was appointed as IRSS Fellow. 
Dominik serves in Editorial Boards for several scientific journals, including Information Sciences (INS) and Intelligent Information Systems (JIIS). He was involved in organization of over 20 international scientific events, including a series of International Symposia on Advances in Artificial Intelligence and Applications (AAIA) and International Conferences on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC), recently transformed into International Joint Conferences on Rough Sets (IJCRS). In 2014-2016 he is responsible for conference endorsements in IEEE Technical Committee on Intelligent Informatics.

Last modified: Wednesday, May 4, 2016 - 9:12:14 AM, Bożenna Skalska

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