Predicting concepts based on streams of events

Alen Nemec (2018) Predicting concepts based on streams of events. EngD thesis.

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Abstract

Having the ability to predict the course of future events is an attractive idea, but difficult to achieve in practice because of the vast number of possibilities. This diploma presents an attempt at doing so based on the hypothesis that patterns of events from the past tend to repeat. We model real world events as groups of concepts. We cluster events into groups of related events. We then build a dataset from these clusters, where the attributes of each data point represent concepts that occur in a single cluster within a certain time window, and the target labels are concepts that occur the next week. We compare the effectiveness of several different prediction models. Our tests show that relationships between concepts contain useful information for predicting the future course of events.

Item Type:

Thesis (EngD thesis)

Keywords:

news, clustering, data mining, prediction, events

Number of Pages:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
doc. dr. Tomaž Curk	299	Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1538011331)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

4264

Date Deposited:

26 Sep 2018 18:55

Last Modified:

08 Nov 2018 09:08

URI:

http://eprints.fri.uni-lj.si/id/eprint/4264

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