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時系列データベース (Japanese Wikipedia)

Analysis of information sources in references of the Wikipedia article "時系列データベース" in Japanese language version.

refsWebsite
Global rank Japanese rank
4doi.org
2nd place
6th place
2web.archive.org
1st place
1st place
2handle.net
102nd place
78th place
2nih.gov
4th place
24th place
1ucr.edu
1,553rd place
3,499th place
1venturebeat.com
616th place
2,168th place
1cloudera.com
low place
low place
1arxiv.org
69th place
227th place
1redmonk.com
low place
low place
1github.com
383rd place
521st place
1influxdata.com
low place
low place
1zdnet.com
786th place
818th place
1ibm.com
1,131st place
838th place
1mongodb.com
low place
low place
1redis.com
low place
low place
1google.com
163rd place
360th place
1techrepublic.com
4,491st place
low place

arxiv.org

cloudera.com

blog.cloudera.com

doi.org

  • Mueen, Abdullah; Keogh, Eamonn; Zhu, Qiang; Cash, Sydney; Westover, Brandon (2009). “Exact Discovery of Time Series Motifs”. University of California, Riverside 2009: 473–484. doi:10.1137/1.9781611972795.41. ISBN 978-0-89871-682-5. PMC 6814436. PMID 31656693. オリジナルの25 June 2010時点におけるアーカイブ。. https://web.archive.org/web/20100625200233/https://www.cs.ucr.edu/~eamonn/EM.pdf 31 July 2019閲覧. "Definition 2:A Time Series Database(D)is an unordered set of m time series possibly of different lengths." 
  • 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. 
  • 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. 
  • Fu, Yupeng; Soman, Chinmay (9 June 2021). “Real-time Data Infrastructure at Uber”. Proceedings of the 2021 International Conference on Management of Data: 2503–2516. arXiv:2104.00087. doi:10.1145/3448016.3457552. ISBN 9781450383431. https://arxiv.org/abs/2104.00087. 

github.com

google.com

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 (May 23, 2012). Interoperability in monitoring and reporting systems (Thesis). hdl:10852/9085 

ibm.com

redbooks.ibm.com

influxdata.com

mongodb.com

nih.gov

pmc.ncbi.nlm.nih.gov

  • Mueen, Abdullah; Keogh, Eamonn; Zhu, Qiang; Cash, Sydney; Westover, Brandon (2009). “Exact Discovery of Time Series Motifs”. University of California, Riverside 2009: 473–484. doi:10.1137/1.9781611972795.41. ISBN 978-0-89871-682-5. PMC 6814436. PMID 31656693. オリジナルの25 June 2010時点におけるアーカイブ。. https://web.archive.org/web/20100625200233/https://www.cs.ucr.edu/~eamonn/EM.pdf 31 July 2019閲覧. "Definition 2:A Time Series Database(D)is an unordered set of m time series possibly of different lengths." 

pubmed.ncbi.nlm.nih.gov

  • Mueen, Abdullah; Keogh, Eamonn; Zhu, Qiang; Cash, Sydney; Westover, Brandon (2009). “Exact Discovery of Time Series Motifs”. University of California, Riverside 2009: 473–484. doi:10.1137/1.9781611972795.41. ISBN 978-0-89871-682-5. PMC 6814436. PMID 31656693. オリジナルの25 June 2010時点におけるアーカイブ。. https://web.archive.org/web/20100625200233/https://www.cs.ucr.edu/~eamonn/EM.pdf 31 July 2019閲覧. "Definition 2:A Time Series Database(D)is an unordered set of m time series possibly of different lengths." 

redis.com

redmonk.com

techrepublic.com

  • Asay, Matt (June 26, 2019). “Why time series databases are exploding in popularity”. TechRepublic. 26 June 2019時点のオリジナルよりアーカイブ。31 July 2019閲覧。 “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 (2009). “Exact Discovery of Time Series Motifs”. University of California, Riverside 2009: 473–484. doi:10.1137/1.9781611972795.41. ISBN 978-0-89871-682-5. PMC 6814436. PMID 31656693. オリジナルの25 June 2010時点におけるアーカイブ。. https://web.archive.org/web/20100625200233/https://www.cs.ucr.edu/~eamonn/EM.pdf 31 July 2019閲覧. "Definition 2:A Time Series Database(D)is an unordered set of m time series possibly of different lengths." 

venturebeat.com

web.archive.org

  • Mueen, Abdullah; Keogh, Eamonn; Zhu, Qiang; Cash, Sydney; Westover, Brandon (2009). “Exact Discovery of Time Series Motifs”. University of California, Riverside 2009: 473–484. doi:10.1137/1.9781611972795.41. ISBN 978-0-89871-682-5. PMC 6814436. PMID 31656693. オリジナルの25 June 2010時点におけるアーカイブ。. https://web.archive.org/web/20100625200233/https://www.cs.ucr.edu/~eamonn/EM.pdf 31 July 2019閲覧. "Definition 2:A Time Series Database(D)is an unordered set of m time series possibly of different lengths." 
  • Asay, Matt (June 26, 2019). “Why time series databases are exploding in popularity”. TechRepublic. 26 June 2019時点のオリジナルよりアーカイブ。31 July 2019閲覧。 “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