ZAGREB CROATIA

3 keynotes / 16 talks
Awesome and great speakers

June 28th, 2017, HUB385, Zagreb, Croatia
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Head of Chair for Information Systems at University College for Applied Computer Engineering Algebra

dr.sc. Goran Klepac

How to extend analytical views in early warning systems by using data from virtual spaces (with illustrative example from Croatia)

Goran Klepac, PhD, University College Professor, head of Strategic development at Raiffeisenbank Austria d.d., Head of chair for Information systems at Algebra University College. He lectures subjects in domain of data mining, predictive analytics, decision support system, banking risk, risk evaluation models, expert system, database marketing and business intelligence. As a team leader, he successfully finished many data mining (data science) projects in different domains like retail, finance, insurance, hospitality, telecommunications, and productions. He is an author/coauthor of numerous books published in Croatian and English with publishers like Springer, Elsevier (MKP), Taylor and Francis (CRC press), IGI- global in domain of data science. www.goranklepac.com


Goran’s

Presentations

Do we really create efficient early warning systems when we are using internally collected data from our databases? Which secrets, useful for decision making are hidden deep in virtual spaces and how it can be revealed by usage of data science methodology?



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Goran’s

Sessions and Workshops

A workshop is embedded into a conference; it doesn’t take place on its own, but it takes place during the main conference.


Session

How to extend analytical views in early warning systems by using data from virtual spaces

How to extend analytical views in early warning systems by using data from virtual spaces (with illustrative example from Croatia). How to squeeze juice of knowledge from ordinary data which are stored in social networks? How Social Network Analysis in combination with text mining and other data science methods can help to dig golden patterns of knowledge giving better binoculars to early warning systems making them more efficient.
This presentation will give answers on enumerated questions with illustrative and currently actual case study from Croatian market.

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