- case-insensitive prefix search: default
e.g., sig matches "SIGIR" as well as "signal"
- exact word search: append dollar sign ($) to word
e.g., graph$ matches "graph", but not "graphics"
- boolean and: separate words by space
e.g., codd model
- boolean or: connect words by pipe symbol (|)
Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.
found 9 matches
- Ali Hadian, Thomas Heinis:
Considerations for handling updates in learned index structures. aiDM@SIGMOD 2019: 3:1-3:4
- Vincenzo Di Cicco, Donatella Firmani, Nick Koudas, Paolo Merialdo, Divesh Srivastava:
Interpreting deep learning models for entity resolution: an experience report using LIME. aiDM@SIGMOD 2019: 8:1-8:4
- Raul Castro Fernandez, Samuel Madden:
Termite: a system for tunneling through heterogeneous data. aiDM@SIGMOD 2019: 7:1-7:8
- Benjamin Hilprecht, Carsten Binnig, Uwe Röhm:
Towards learning a partitioning advisor with deep reinforcement learning. aiDM@SIGMOD 2019: 6:1-6:4
- Bhavya Karki, Fan Hu, Nithin Haridas, Suhail Barot, Zihua Liu, Lucile Callebert, Matthias Grabmair, Anthony Tomasic:
Question answering via web extracted tables. aiDM@SIGMOD 2019: 4:1-4:8
- Yangjun Sheng, Anthony Tomasic, Tieying Zhang, Andrew Pavlo:
Scheduling OLTP transactions via learned abort prediction. aiDM@SIGMOD 2019: 1:1-1:8
- Lucas Woltmann, Claudio Hartmann, Maik Thiele, Dirk Habich, Wolfgang Lehner:
Cardinality estimation with local deep learning models. aiDM@SIGMOD 2019: 5:1-5:8
- Liqi Xu, Richard L. Cole, Daniel Ting:
Learning to optimize federated queries. aiDM@SIGMOD 2019: 2:1-2:7
- Rajesh Bordawekar, Oded Shmueli:
Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM@SIGMOD 2019, Amsterdam, The Netherlands, July 5, 2019. ACM 2019, ISBN 978-1-4503-6802-5 [contents]
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