TimeCluster: dimension reduction applied to temporal data for visual analytics

Author:

Ali MohammedORCID,Jones Mark W.ORCID,Xie XianghuaORCID,Williams Mark

Funder

Swansea University

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference61 articles.

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2. Abdelhameed, A.M., Daoud, H.G., Bayoumi, M.: Epileptic seizure detection using deep convolutional autoencoder. In: 2018 IEEE International Workshop on Signal Processing Systems (SiPS), pp. 223–228 (2018)

3. Albers, D., Correll, M., Gleicher, M.: Task-driven evaluation of aggregation in time series visualization. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI Conference, pp. 551–560 (2014)

4. Ali, M., Jones, M., Xie, X., Williams, M.: Towards visual exploration of large temporal datasets. In: 2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA), pp. 1–9 (2018)

5. Alsallakh, B., Bögl, M., Gschwandtner, T., Miksch, S., Esmael, B., Arnaout, A., Thonhauser, G., Zöllner, P.: A visual analytics approach to segmenting and labeling multivariate time series data. In: EuroVis Workshop on Visual Analytics, pp. 31–35. The Eurographics Association (2014)

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