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Investigation of Event-Prediction in Time-Series Data: How to organize and process time-series data for event prediction?
Kristianstad University, Faculty of Natural Science.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The thesis determines the type of deep learning algorithms to compare for a particular dataset that contains time-series data. The research method includes study of multiple literatures and conduction of 12 tests. It deals with the organization and processing of the data so as to prepare the data for prediction of an event in the time-series. It also includes the explanation of the algorithms selected. Similarly, it provides a detailed description of the steps taken for classification and prediction of the event. It includes the conduction of multiple tests for varied timeframe in order to compare which algorithm provides better results in different timeframes. The comparison between the selected two deep learning algorithms identified that for shorter timeframes Convolutional Neural Networks performs better and for longer timeframes Recurrent Neural Networks has higher accuracy in the provided dataset. Furthermore, it discusses possible improvements that can be made to the experiments and the research as a whole.

Place, publisher, year, edition, pages
2019. , p. 34
Keywords [en]
Classification, Data Analysis, Deep Learning, Event Prediction, Machine Learning, Time Series
National Category
Software Engineering Other Computer and Information Science
Identifiers
URN: urn:nbn:se:hkr:diva-19416OAI: oai:DiVA.org:hkr-19416DiVA, id: diva2:1324322
External cooperation
Diaverum AB
Educational program
Bachelor programme in Computer Software Development
Supervisors
Examiners
Available from: 2019-06-13 Created: 2019-06-13 Last updated: 2019-06-13Bibliographically approved

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fulltext(1525 kB)22 downloads
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Pradhan, Shameer Kumar
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf