Skip to main content

Next gEneration Sequence sTORage

Searching for OpenAIRE data...

Publications

T-Store: Tunable Storage for Large Sequential Data

Author(s): Kostas Zoumpatianos, Stratos Idreos, Themis Palpanas
Published in: North East Database Day 2019, 2019

Data Series Management (Dagstuhl Seminar 19282)

Author(s): Anthony Bagnall; Richard L. Cole; Themis Palpanas; Kostas Zoumpatianos
Published in: Dagstuhl Reports, Issue 9/7, 2019, Page(s) 24--39
DOI: 10.4230/dagrep.9.7.24

Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes

Author(s): Haridimos Kondylakis; Niv Dayan; Kostas Zoumpatianos; Themis Palpanas
Published in: Proceedings of the VLDB Endownment, Issue 11/6, 2018, Page(s) 677-690, ISSN 2150-8097

The lernaean hydra of data series similarity search

Author(s): Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim
Published in: Proceedings of the VLDB Endowment, Issue 12/2, 2018, Page(s) 112-127, ISSN 2150-8097
DOI: 10.14778/3282495.3282498

Return of the Lernaean Hydra: experimental evaluation of data series approximate similarity search

Author(s): Karima Echihabi; Kostas Zoumpatianos; Themis Palpanas; Houda Benbrahim
Published in: Proceedings of the VLDB Endowment, Issue 13/2, 2019, Page(s) 403-420, ISSN 2150-8097

Coconut: sortable summarizations for scalable indexes over static and streaming data series

Author(s): Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas
Published in: The VLDB Journal, Issue 28/6, 2019, Page(s) 847-869, ISSN 1066-8888
DOI: 10.1007/s00778-019-00573-w

Coconut Palm - Static and Streaming Data Series Exploration Now in your Palm

Author(s): Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas
Published in: Proceedings of the 2019 International Conference on Management of Data - SIGMOD '19, 2019, Page(s) 1941-1944
DOI: 10.1145/3299869.3320233

Data Series Management: Fulfilling the Need for Big Sequence Analytics

Author(s): Kostas Zoumpatianos, Themis Palpanas
Published in: 2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018, Page(s) 1677-1678
DOI: 10.1109/icde.2018.00211