Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Claudio Hartmann"'
Publikováno v:
German Journal of Exercise and Sport Research. 53:187-195
The task of the judge of difficulty in trampoline gymnastics is to check the elements and difficulty values entered on the competition cards and the difficulty of each element according to a numeric system. To do this, the judge must count all somers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0d8f5906c92932c39f577da34bc770a
https://doi.org/10.1007/s12662-022-00866-3
https://doi.org/10.1007/s12662-022-00866-3
Publikováno v:
Proceedings of the VLDB Endowment. 15:2706-2718
The optimization of select-project-join (SPJ) queries entails two major challenges: (i) finding a good join order and (ii) selecting the best-fitting physical join operator for each single join within the chosen join order. Previous work mainly focus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::659ec71f7783da36d898437ecb7a7bc5
https://doi.org/10.14778/3551793.3551825
https://doi.org/10.14778/3551793.3551825
Publikováno v:
Datenbank-Spektrum. 22:45-57
Cardinality estimation is a fundamental task in database query processing and optimization. As shown in recent papers, machine learning (ML)-based approaches may deliver more accurate cardinality estimations than traditional approaches. However, a lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a57094d3ead2666b0defa538539c710
https://doi.org/10.1007/s13222-021-00400-z
https://doi.org/10.1007/s13222-021-00400-z
Autor:
Lucas Woltmann, Peter Volk, Michael Dinzinger, Lukas Gräf, Sebastian Strasser, Johannes Schildgen, Claudio Hartmann, Wolfgang Lehner
Publikováno v:
Datenbank-Spektrum. 22:5-10
For its third installment, the Data Science Challenge of the 19th symposium “Database Systems for Business, Technology and Web” (BTW) of the Gesellschaft für Informatik (GI) tackled the problem of predictive energy management in large production
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3822bb6a861d6ce17b796a1692544187
https://doi.org/10.1007/s13222-021-00398-4
https://doi.org/10.1007/s13222-021-00398-4
Publikováno v:
Datenbank-Spektrum. 21:225-236
Processing and analyzing time series datasets have become a central issue in many domains requiring data management systems to support time series as a native data type. A core access primitive of time series is matching, which requires efficient alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8895419a1c81c8f1d25614b2af584c4e
https://doi.org/10.1007/s13222-021-00389-5
https://doi.org/10.1007/s13222-021-00389-5
Publikováno v:
Proceedings of the VLDB Endowment. 14:2715-2718
In this demo, we present PostCENN , an enhanced PostgreSQL database system with an end-to-end integration of machine learning (ML) models for cardinality estimation. In general, cardinality estimation is a topic with a long history in the database co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8769437d91fc91b2b72e3950160201aa
https://doi.org/10.14778/3476311.3476327
https://doi.org/10.14778/3476311.3476327
Publikováno v:
2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32d0fef05a0b840352ab6cadfe0aa97f
https://doi.org/10.1109/icdew55742.2022.00023
https://doi.org/10.1109/icdew55742.2022.00023
Autor:
Lucas Woltmann, Volker Markl, Wolfgang Lehner, Holger Meyer, Claudio Hartmann, Tim Waizenegger, Ziawasch Abedjan, Christian Schmitz, Hannes Grunert, Ricardo Martinez, Mahdi Esmailoghli, Dhiren Devinder Serai, Tatiane Escobar Gava, Sergey Redyuk, Tilmann Rabl, Ariane Ziehn
Publikováno v:
Datenbank-Spektrum. 19:165-182
For the second time, the Data Science Challenge took place as part of the 18th symposium “Database Systems for Business, Technology and Web” (BTW) of the Gesellschaft fur Informatik (GI). The Challenge was organized by the University of Rostock a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6197b14f81cbe281b8fa59f2ff8a0c52
https://doi.org/10.1007/s13222-019-00322-x
https://doi.org/10.1007/s13222-019-00322-x
Publikováno v:
Datenbank-Spektrum. 19:17-29
More and more data is gathered every day and time series are a major part of it. Due to the usefulness of this type of data, it is analyzed in many application domains. While there already exists a broad variety of methods for this task, there is sti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2411c3a1767f6cc1da7531ac81bbd9ec
https://doi.org/10.1007/s13222-018-00304-5
https://doi.org/10.1007/s13222-018-00304-5
Publikováno v:
International Journal of Data Science and Analytics. 8:165-181
The forecasting of time series data is an integral component for management, planning, and decision making. Following the Big Data trend, large amounts of time series data are available in many application domains. The highly dynamic and often noisy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::605dfc3ee9cf561ed1b9d3592aa0b0d8
https://doi.org/10.1007/s41060-018-00169-7
https://doi.org/10.1007/s41060-018-00169-7