Andmebaas (Estonian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Andmebaas" in Estonian language version.

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doi.org

Villar-Rodriguez, Esther; Del Ser, Javier; Oregi, Izaskun; Bilbao, Miren Nekane; Gil-Lopez, Sergio (2017). "Detection of non-technical losses in smart meter data based on load curve profiling and time series analysis". Energy. 137: 118–128. DOI:10.1016/j.energy.2017.07.008. ISSN 0360-5442. {{cite journal}}: parameeter |hdl-access= nõuab parameetrit |hdl= (juhend)
Pelkonen, Tuomas; Franklin, Scott; Teller, Justin; Cavallaro, Paul; Huang, Qi; Meza, Justin; Veeraraghavan, Kaushik (2015). "Gorilla". Proceedings of the VLDB Endowment. 8 (12): 1816–1827. DOI:10.14778/2824032.2824078.

Asay, Matt (26. juuni 2019). "Why time series databases are exploding in popularity". TechRepublic. Originaali arhiivikoopia seisuga 26.06.2019. Vaadatud 31.07.2019. Relational databases and NoSQL databases can be used for time series data, but arguably developers will get better performance from purpose-built time series databases, rather than trying to apply a one-size-fits-all database to specific workloads.

Mueen, Abdullah; Keogh, Eamonn; Zhu, Qiang; Cash, Sydney; Westover, Brandon. "Exact Discovery of Time Series Motifs" (PDF). University of California, Riverside. Lk 2. Originaali (PDF) arhiivikoopia seisuga 25.06.2010. Vaadatud 31.07.2019. Definition 2:A Time Series Database(D)is an unordered set of m time series possibly of different lengths.

Mueen, Abdullah; Keogh, Eamonn; Zhu, Qiang; Cash, Sydney; Westover, Brandon. "Exact Discovery of Time Series Motifs" (PDF). University of California, Riverside. Lk 2. Originaali (PDF) arhiivikoopia seisuga 25.06.2010. Vaadatud 31.07.2019. Definition 2:A Time Series Database(D)is an unordered set of m time series possibly of different lengths.
Asay, Matt (26. juuni 2019). "Why time series databases are exploding in popularity". TechRepublic. Originaali arhiivikoopia seisuga 26.06.2019. Vaadatud 31.07.2019. Relational databases and NoSQL databases can be used for time series data, but arguably developers will get better performance from purpose-built time series databases, rather than trying to apply a one-size-fits-all database to specific workloads.

Villar-Rodriguez, Esther; Del Ser, Javier; Oregi, Izaskun; Bilbao, Miren Nekane; Gil-Lopez, Sergio (2017). "Detection of non-technical losses in smart meter data based on load curve profiling and time series analysis". Energy. 137: 118–128. DOI:10.1016/j.energy.2017.07.008. ISSN 0360-5442. {{cite journal}}: parameeter |hdl-access= nõuab parameetrit |hdl= (juhend)