Russian Presidential Academy of National Economy and Public Administration (RPANEPA) is organizing the Business Intelligence section in conjunction with the AINL-FRUCT-2016 Conference.
The term Business Intelligence (BI) may be interpreted as a combination Business Applications + Artificial Intelligence. The key element in the formula is 'Intelligence', which supposes processing unstructured noisy data. BI takes its roots in decision support systems and expert systems for business applications, which appeared at 1970s-1980s.
Howard Dresner, the analyst at Gartner, defined BI as a general term describing "concepts and methods for improving process of decision-making using systems on the basis of business data" (1989). BI and business analytics (BA) sometimes are used as synonims although there is a difference between them. BI focuses on the search of useful information using heuristic methods while BA focuses on analysis of current situation on the basis of statistical methods. BA is considered as a part of BI.
The date of session is November 11 or 12, the exact day will be announced later.
Mathematical Modeling of Information Processes in a Society
Ph.D. student of the Keldysh Institute of Applied Mathematics RAS, assistant of the Moscow Institute of Physics and Techlnology
The current stage of social development is characterized by a sharply increasing role of information environment. Mass-media has a specialrole in information dissemination, because this process begins with propaganda and only then moves to networks. This is why we focus on the role of the media in information processes.The lecture is devotedto mathematical models of information dissemination. Within the limits of their applicability they allow to examine qualitatively the natureof information processes. Some computational and analytical results are presented. It is shown that a number of significantly different scenarios can occur.
Processing queries to search engine of Yandex: possibilities of analysis and forecast
M.Sc. student of the M.Sc. program RANEPA-MIPT
Search queries to Internet are a real reflection of events and
processes that happen in the informative society. Moreover, the recent research shows that search queries can be an effective tool for the analysis and forecast of these events and processes. In the lecture, we present our experience in creating databases of descriptors (queries and their combinations) to be used in real problems. Examples
related to the analysis and forecast of regional economy and regional police work illustrate an application of the mentioned descriptors.
Dr.Sc., senior researcher of Computer Center of the Russian Academy of Sciences
"Feature generation for multiscale time series forecasting"
(tutorial by skype, 4 hours)
Participation without publication. For this one needs to inform the Program Committee about poster presentation.
Deadline: September 30, 2016
Participation with publication. For this one needs to submit short or long paper in according with AINL-FRUCT requirements.
Deadline: September 15, 2016