An Approach to Contextual Time Series Analysis

Author:

Romanov AntonORCID,Filippov AlekseyORCID,Yarushkina NadezhdaORCID

Publisher

Springer International Publishing

Reference12 articles.

1. Li, Z., Xu, W., Zhang, L., Lau, R.Y.: An ontology-based Web mining method for unemployment rate prediction. Decis. Support Syst. 66, 114–122 (2014)

2. Qu, H., Sardelich Nascimento, M., Qomariyah, N.N., Kazakov, D.L.: Integrating time series with social media data in an ontology for the modelling of extreme financial events. In: Proceedings of the European Language Resources Association (ELRA), LREC 2016, pp. 57–63 (2016)

3. Chen, X.C., Steinhaeuser, K., Boriah, S., Chatterjee, S., Kumar, V.: Contextual time series change detection. In: Proceedings of the 2013 SIAM International Conference on Data Mining, pp. 503–511. Society for Industrial and Applied Mathematics (2013)

4. Dunkl, R., Rinderle-Ma, S., Grossmann, W., Froschl, K.A.: A method for analyzing time series data in process mining: application and extension of decision point analysis. In: International Conference on Advanced Information Systems Engineering, pp. 68–84 (2014)

5. Dunkl, R., Rinderle-Ma, S., Grossmann, W., Froschl, K.A.: Decision point analysis of time series data in process-aware information systems. In: Pre-proceedings of CAISE 2014 Forum (2014). https://eprints.cs.univie.ac.at/4083/2/PaperVision05.pdf. Accessed 21 Nov 2020

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