시계열 데이터베이스 (Korean Wikipedia)

Analysis of information sources in references of the Wikipedia article "시계열 데이터베이스" in Korean language version.

refsWebsite

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6github.com

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3doi.org

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2web.archive.org

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2handle.net

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1ucr.edu

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1techrepublic.com

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1db-engines.com

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1redmonk.com

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1influxdata.com

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1zdnet.com

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1ibm.com

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1acm.org

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1zhaw.ch

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acm.org

queue.acm.org

Schlossnagle, Theo (2018년 1월 8일). “Monitoring in a DevOps World”. 2018년 10월 3일에 확인함.

db-engines.com

“Machbase System Properties”. 2020년 11월 3일에 확인함.

doi.org

dx.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. hdl:20.500.11824/693.
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.
Slabber, Martin; Joubert, Francois; Ockards, Muhammed Toufeeq (2018). “Scalable Time Series Documents Store”. 《Proceedings of the 16Th Int. Conf. On Accelerator and Large Experimental Control Systems》. ICALEPCS2017. doi:10.18429/JACoW-ICALEPCS2017-TUBPA06.

github.com

“cube license”. 《GitHub》. 2018년 10월 3일에 확인함.
“dalmatinerdb license”. 《GitHub》. 2018년 10월 3일에 확인함.
“influxdb license”. 《GitHub》. 2016년 8월 14일에 확인함.
“kairosdb license”. 《GitHub》. 2018년 10월 3일에 확인함.
“opentsdb license”. 《GitHub》. 2018년 10월 3일에 확인함.
“timescaledb license”. 《GitHub》. 2018년 10월 3일에 확인함.

handle.net

hdl.handle.net

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. hdl:20.500.11824/693.
Joshi, Nishes (2012년 5월 23일). 《Interoperability in monitoring and reporting systems》 (Thesis). hdl:10852/9085.

ibm.com

redbooks.ibm.com

Dantale, Viabhav (2012년 9월 21일). 《Solving Business Problems with Informix TimeSeries》 (PDF). IBM Redbooks. ISBN 9780738437231.

influxdata.com

“influxdb clustering”. 《influxdata.com》. 2016년 3월 10일에 확인함.

redmonk.com

Stephens, Rachel (2018년 4월 3일). “State of the Time Series Database Market”. 2018년 10월 3일에 확인함.

techrepublic.com

Asay, Matt (26 June 2019). “Why time series databases are exploding in popularity”. 《TechRepublic》. 26 June 2019에 원본 문서에서 보존된 문서. 31 July 2019에 확인함. 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.

ucr.edu

cs.ucr.edu

Mueen, Abdullah; Keogh, Eamonn; Zhu, Qiang; Cash, Sydney; Westover, Brandon. “Exact Discovery of Time Series Motifs” (PDF). 《캘리포니아 대학교 리버사이드》. 2쪽. 25 May 2010에 원본 문서 (PDF)에서 보존된 문서. 31 July 2019에 확인함. Definition 2:A Time Series Database(D)is an unordered set of m time series possibly of different lengths.

web.archive.org

Mueen, Abdullah; Keogh, Eamonn; Zhu, Qiang; Cash, Sydney; Westover, Brandon. “Exact Discovery of Time Series Motifs” (PDF). 《캘리포니아 대학교 리버사이드》. 2쪽. 25 May 2010에 원본 문서 (PDF)에서 보존된 문서. 31 July 2019에 확인함. Definition 2:A Time Series Database(D)is an unordered set of m time series possibly of different lengths.
Asay, Matt (26 June 2019). “Why time series databases are exploding in popularity”. 《TechRepublic》. 26 June 2019에 원본 문서에서 보존된 문서. 31 July 2019에 확인함. 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.

zdnet.com

Anadiotis, George (2018년 9월 28일). “Processing time series data: What are the options?”. 《zdnet.com》. 2016년 3월 10일에 확인함.

zhaw.ch

blog.zhaw.ch

Skoviera, Martin (2017년 9월 18일). “Cyclops 3.0 release with rule engine”. 2018년 10월 11일에 확인함.