The Library
Browse by Warwick Author
Up a level |
Number of items: 45.
2023
Kurmanji, M., Triantafillou, Peter, Hayes, Jamie and Triantafillou, E. (2023) Towards unbounded machine unlearning. In: International Conference on Neural Information Processing Systems, NeurIPS, New Orleans, 10-16 Dec 2023 (In Press)
Kurmanji, M. and Triantafillou, Peter (2023) Detect, distill and update : learned DB systems facing out of distribution data. In: ACM SIGMOD Conference on the Management of Data, (SIGMOD23), Seattle, WA, 18-23 Jun 2023. Published in: Proceedings of the ACM on Management of Data, 1 (1). pp. 1-27. doi:10.1145/3588713
Shekelyan, Michael, Cormode, Graham, Ma, Qingzhi, Shanghooshabad, A. M. and Triantafillou, Peter (2023) Streaming weighted sampling over join queries. In: 26th International Conference on Extending Database Technology (EDBT) 2023, Ioannina, Greece, 28-31 Mar 2023. Published in: Proceedings of the 26th International Conference on Extending Database Technology (EDBT) 2023, March 2023. ISBN 9783893180936. doi:10.48786/edbt.2023.24 ISSN 2367-2005. (In Press)
2022
Athanassoulis, Manos, Triantafillou, Peter, Appuswamy, Raja, Bordawekar, Rajesh, Chandramouli, Badrish, Cheng, Xuntao, Manolescu, Ioana, Papakonstantinou, Yannis and Tatbul, Nesime (2022) Artifacts availability & reproducibility (VLDB 2021 Round Table). ACM SIGMOD Record, 51 (2). pp. 74-77. doi:10.1145/3552490.3552511 ISSN 0163-5808.
Barbulescu, George-Octavian and Triantafillou, Peter (2022) Anatomy of learned database tuning with Bayesian optimization. In: 2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW), Kuala Lumpur, Malaysia, 09 May 2022. Published in: 2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW) ISBN 9781665481045. doi:10.1109/icdew55742.2022.00006
Ma, Qingzhi and Triantafillou, Peter (2022) Query-centric regression. Information Systems, 104 . 101736. doi:10.1016/j.is.2021.101736 ISSN 0306-4379.
2021
Shanghooshabad, A. M., Kurmanji, M., Ma, Q., Shekelyan, Michael, Almasi, Mehrdad and Triantafillou, Peter (2021) PGMJoins : random join sampling with graphical models. In: ACM Sigmod Conference on the Management of Data, Virtual, 20-25 Jun 2021. Published in: SIGMOD/PODS '21: Proceedings of the 2021 International Conference on Management of Data pp. 1610-1622. ISBN 9781450383431. doi:10.1145/3448016.3457302
Ma, Qingzhi, Shanghooshabad, Ali M., Almasi, Mehrdad, Kurmanji, Meghdad and Triantafillou, Peter (2021) Learned approximate query processing : make it light, accurate and fast. In: Conference on Innovative Data Systems, (CIDR21), Virtual conference, 12-15 Jan 2021. Published in: Conference on Innovative Data Systems, (CIDR21)
2020
Savva, Fotis, Anagnostopoulos, Christos, Triantafillou, Peter and Kolomvatsos, Kostas (2020) Large-scale data exploration using explanatory regression functions. ACM Transactions on Knowledge Discovery from Data (TKDD), 14 (6). pp. 1-33. 76. doi:10.1145/3410448 ISSN 1556-4681.
Savva, Fotis, Anagnostopoulos, Christos and Triantafillou, Peter (2020) Adaptive learning of aggregate analytics under dynamic workloads. Future Generation Computer Systems, 109 . pp. 317-330. doi:10.1016/j.future.2020.03.063 ISSN 0167-739X.
Savva, Fotis, Anagnostopoulos, Christos and Triantafillou, Peter (2020) SuRF : identification of interesting data regions with surrogate models. In: 2020 IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX, USA, 20-24 Apr 2020. Published in: 2020 IEEE 36th International Conference on Data Engineering (ICDE) pp. 1321-1332. ISBN 9781728129044. doi:10.1109/ICDE48307.2020.00118 ISSN 1063-6382.
Savva, Fotis, Anagnostopoulos, Christos and Triantafillou, Peter (2020) Aggregate query prediction under dynamic workloads. In: 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, 9-12 Dec 2019 pp. 671-676. ISBN 9781728108582. doi:10.1109/BigData47090.2019.9006267
Anagnostopoulos, Christos and Triantafillou, Peter (2020) Large-scale predictive modeling and analytics through regression queries in data management systems. International Journal of Data Science and Analytics, 9 (1). pp. 17-55. doi:10.1007/s41060-018-0163-5 ISSN 2364-415X.
Ma, Qingzhi and Triantafillou, Peter (2020) Query-centric regression for In-DBMS analytics. In: DOLAP 2020 Design, Optimization, Languages and Analytical Processing of Big Data, Copenhagen, Denmark, 30 Mar 2020. Published in: Proceedings of the 22nd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with EDBT/ICDT 2020 Joint Conference (EDBT/ICDT 2020), 2572 pp. 16-25. ISSN 1613-0073.
2019
Ma, Qingzhi and Triantafillou, Peter (2019) DBEst : revisiting approximate query processing engines with machine learning models. In: 2019 ACM International Conference on the Management of Data, SIGMOD19, Amsterdam, Netherlands, 30 Jun - 5 Jul 2019. Published in: SIGMOD '19 Proceedings of the 2019 International Conference on Management of Data 1553-1570 . ISBN 9781450356435. doi:10.1145/3299869.3324958
Moshfeghi, Yashar, Triantafillou, Peter and Pollick, Frank (2019) Towards predicting a realisation of an information need based on brain signals. In: WWW '19 The World Wide Web Conference, San Francisco CA USA, 13-17 May 2019. Published in: WWW '19 The World Wide Web Conference pp. 1300-1309. ISBN 9781450366748. doi:10.1145/3308558.3313671
2018
Savva, Fotis, Anagnostopoulos, Christos and Triantafillou, Peter (2018) Explaining aggregates for exploratory analytics. In: 2018 IEEE International Conference on Big Data (Big Data), Seattle, USA, 10-14 Dec 2018. Published in: 2018 IEEE International Conference on Big Data (Big Data)
Cahsai, Atoshum, Anagnostopoulos, Christos, Ntarmos, Nikos and Triantafillou, Peter (2018) Revisiting exact kNN query processing with probabilistic data space transformations. In: 2018 IEEE International Conference on Big Data (Big Data), Seattle, USA, 10-14 Dec 2018. Published in: 2018 IEEE International Conference on Big Data (Big Data)
Triantafillou, Peter, Savva, F. and Anagnostopoulos, C. (2018) Scalable aggregation predictive analytics : a query-driven machine learning approach. Applied Intelligence, 48 (9). pp. 2546-2567. doi:10.1007/s10489-017-1093-y ISSN 0924-669X.
Wang, Jing, Liu, Zichen, Ma, Shuai, Ntarmos, Nikos and Triantafillou, Peter (2018) GC : a graph caching system for subgraph / supergraph queries. In: 44th International conference on very large databases 2018, Rio de Janeiro, Brazil, 27-31 Aug 2018. Published in: Proceedings of the VLDB Endowment, 11 (12). pp. 2022-2025. doi:10.14778/3229863.3236250 ISSN 2150-8097.
Cheng, Long, Zhang, Huaizhi, Jose , Joemon M., Yu, Haitao, Moshfeghi, Yashar and Triantafillou, Peter (2018) Topic detection and tracking on heterogeneous information. Journal of Intelligent Information Systems, 51 (1). pp. 115-137. doi:10.1007/s10844-017-0487-y ISSN 0925-9902.
Triantafillou, Peter (2018) Towards intelligent distributed data systems for scalable efficient and accurate analytics. In: 38 IEEE International Conference on Distributed Computing Systems, ICDCS, Vienna, Austria, 2-5 Jul 2018. Published in: 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS) doi:10.1109/ICDCS.2018.00119 ISSN 2575-8411.
Triantafillou, Peter (2018) Data-Less Big Data Analytics (Towards Intelligent Data Analytics Systems). In: 2018 IEEE 34th International Conference on Data Engineering (ICDE), Paris, France, 16-19 April 2018. Published in: Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018 pp. 1666-1667. ISBN 9781538655214 . doi:10.1109/ICDE.2018.00205 ISSN 1063-6382.
Katsarou, F., Ntarmos, N. and Triantafillou, Peter (2018) Hybrid algorithms for subgraph pattern queries in graph databases. In: 2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, MA, USA, 11-14 Dec 2017. Published in: 2017 IEEE International Conference on Big Data (Big Data) ISBN 9781538627167. doi:10.1109/BigData.2017.8257981
2017
Anagnostopoulos, C. and Triantafillou, Peter (2017) Query-driven learning for predictive analytics of data subspace cardinality. ACM Transactions on Knowledge Discovery from Data (TKDD), 11 (4). 47. doi:10.1145/3059177 ISSN 1556-4681.
Anagnostopoulos, C. and Triantafillou, Peter (2017) Efficient scalable accurate regression queries in IN-DBMS analytics. In: 2017 IEEE 33rd International Conference on Data Engineering (ICDE), San Diego, CA, USA, 19-22 Apr 2017. Published in: Proceedings 2017 IEEE 33rd International Conference on Data Engineering (ICDE) pp. 559-570. doi:10.1109/ICDE.2017.111 ISSN 2375-026X.
Wang, J., Ntarmos, N. and Triantafillou, Peter (2017) GraphCache : a caching system for graph queries. In: 20th International Conference on Extending Database Technology, Venice, 21-24 Mar 2017. Published in: 20th International Conference on Extending Database Technology pp. 13-24. ISBN 9783893180738 .
Katsarou, F., Ntarmos, N. and Triantafillou, Peter (2017) Subgraph querying with parallel use of query rewritings and alternative algorithms. In: 20th International Conference on Extending Database Technology, Venice, 21-24 Mar 2017. Published in: 20th International Conference on Extending Database Technology pp. 25-36. ISBN 9783893180738.
Wang, J., Ntarmos, N. and Triantafillou, Peter (2017) Ensuring consistency in graph cache for graph-pattern queries. In: The 6th International Workshop on Querying Graph Structured Data (GraphQ '17), Venice, Italy, 21-24 Mar 2017. Published in: CEUR Workshop Proceedings, 1810 ISSN 1613-0073.
Cahsai, A., Ntarmos, N., Anagnostopoulos, C. and Triantafillou, Peter (2017) Scaling k-nearest neighbours queries (the right way). In: 2017 IEEE 37th International Conference on : Distributed Computing Systems (ICDCS), Atlanta, GA, USA, 5-8 Jun 2017. Published in: 2017 IEEE 37th International Conference on : Distributed Computing Systems (ICDCS) pp. 1419-1430. ISSN 1063-6927.
Katsarou, F., Ntarmos, N. and Triantafillou, Peter (2017) Towards hybrid methods for graph pattern queries. In: EDBT/ICDT 2017 Joint Conference, Venice, Italy, 21 Mar 2017. Published in: CEUR Workshop Proceedings, 1810 ISSN 1613-0073.
Moshfeghi, Y., Rothfeld, R., Azzopardi, L. and Triantafillou, Peter (2017) A task completion engine to enhance search session support for air traffic work tasks. In: 39th European Conference on IR Research, ECIR 2017, Aberdeen, 8-13 Apr 2017. Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10193 pp. 278-290. ISBN 9783319566078.
2016
Triantafillou, Peter (2016) Performance and scalability of indexed subgraph query processing methods. In: ALGOCLOUD 2015, Greece., 14–15 Sep 2016. Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9511
Moshfeghi, Y., Triantafillou, Peter and Pollick, F. E. (2016) Understanding information need : an fMRI study. In: SIGIR '16 , Pisa, Italy, 17-21 Jul 2016 . Published in: SIGIR '16 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval pp. 335-344. ISBN 9781450340694. doi:10.1145/2911451.2911534
Moshfeghi, Y., Velinov, K. and Triantafillou, Peter (2016) Improving search results with prior similar queries. In: International Conference on Information and Knowledge Management, Indianapolis, Indiana, USA, 24-28 Oct 2016. Published in: Proceeding CIKM '16 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management pp. 1985-1988. ISBN 9781450340731.
Wang, Jing, Ntarmos, Nikos and Triantafillou, Peter (2016) Indexing query graphs to speedup graph query processing. In: EDBT : 19th International Conference on Extending Database Technology, Bordeaux, France , 15-18 Mar 2016. Published in: Advances in database technology - EDBT 2016 19th International Conference on Extending Database Technology, Bordeaux, France, March 15-18, 2016 : proceedings pp. 41-52. ISBN 9783893180707 .
2015
Cahsai, A., Anagnostopoulos, C. and Triantafillou, Peter (2015) Scalable data quality for big data : the Pythia framework for handling missing values. Big data, 3 (3). pp. 159-172. doi:10.1089/big.2015.0002 ISSN 0302-9743.
Katsarou, F., Ntarmos, N. and Triantafillou, Peter (2015) Performance and scalability of indexed subgraph query processing methods. Proceedings of the VLDB Endowment, 8 (12). pp. 1566-1577. doi:10.14778/2824032.2824054 ISSN 2150-8097.
Anagnostopoulos, C. and Triantafillou, Peter (2015) Learning set cardinality in distance nearest neighbours. In: 2015 IEEE International Conference onData Mining (ICDM), Atlantic City, NJ, USA, 14-17 Nov 2015. Published in: Proceedings - IEEE International Conference on Data Mining, ICDM pp. 691-696. ISSN 1550-4786.
Anagnostopoulos, C. and Triantafillou, Peter (2015) Learning to accurately COUNT with query-driven predictive analytics. In: 2015 IEEE International Conference on Big Data (Big Data), Santa Clara, CA, USA, 29 Oct -1 Nov 2015. Published in: Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015 pp. 14-23. ISBN 9781479999255.
Wang, J., Ntarmos, N. and Triantafillou, Peter (2015) Towards a subgraph/supergraph cached query-graph index. In: 2015 IEEE International Conference on Big Data (Big Data), Santa Clara, CA, USA, 29 Oct -1 Nov 2015. Published in: Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015 pp. 2919-2921. ISBN 9781479999255.
Moshfeghi, Y., Ounis, I., Macdonald, C., Jose, J. M., Triantafillou, Peter, Livingston, M. and Thakuriah, P. (2015) UCUI'15: The 1st international workshop on understanding the City with Urban Informatics. In: UCUI'15 : The 1st international workshop on understanding the city with urban informatics, Melbourne, Australia, 19-23 Oct 2015. Published in: Proceedings of the International Conference on Information and Knowledge Management pp. 1955-1956. ISBN 9781450337946.
2014
Ntarmos, N., Patlakas, I. and Triantafillou, Peter (2014) Rank join queries in NoSQL databases. Proceedings of the VLDB Endowment, 7 (7). pp. 493-504. doi:10.14778/2732286.2732287 ISSN 2150-8097.
Kondreddi, S .K., Triantafillou, Peter and Weikum, G. (2014) Combining information extraction and human computing for crowdsourced knowledge acquisition. In: 2014 IEEE 30th International Conference on Data Engineering, Chicago, IL, USA, 31 Mar -14 Apr 2014. Published in: 2014 IEEE 30th International Conference on Data Engineering (ICDE) pp. 988-999. ISBN 9781479925568. doi:10.1109/ICDE.2014.6816717 ISSN 1063-6382.
Anagnostopoulos, C. and Triantafillou, Peter (2014) Scaling out big data missing value imputations : Pythia vs. Godzilla. In: 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '14), New York, N.Y., U.S.A, 24-27 Aug 2014. Published in: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining pp. 651-660. ISBN 9781450329569. doi:10.1145/2623330.2623615
This list was generated on Tue Apr 23 22:23:55 2024 BST.