Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu & Maximilian Schleich (2018):
In-Database Learning with Sparse Tensors.
In: SIGMOD/PODS'18,
doi:10.1145/3196959.3196960.
Vinayak R. Borkar et al. (2012):
Declarative Systems for Large-Scale Machine Learning.
In: Bulletin of the IEEE Computer Society Technical Committee on Data Engineering,
doi:10.1.1.362.4961.
Molham Aref, Balder ten Cate, Todd J. Green, Benny Kimelfeld, Dan Olteanu, Emir Pasalic, Todd L. Veldhuizen & Geoffrey Washburn (2015):
Design and Implementation of the LogicBlox System.
In: SIGMOD'15,
doi:10.1145/2723372.2742796.
Tyson Condie, Ariyam Das, Matteo Interlandi, Alexander Shkapsky, Mohan Yang & Carlo Zaniolo (2018):
Scaling-up reasoning and advanced analytics on BigData.
TPLP 18(5-6),
pp. 806–845,
doi:10.1017/S1471068418000418.
Ariyam Das & Carlo Zaniolo (2019):
A Case for Stale Synchronous Distributed Model for Declarative Recursive Computation.
In: 35th International Conference on Logic Programming,
ICLP'19.
Xixuan Feng, Arun Kumar, Benjamin Recht & Christopher Ré (2012):
Towards a Unified Architecture for in-RDBMS Analytics.
In: SIGMOD'12,
pp. 325–336,
doi:10.1145/2213836.2213874.
Jiaqi Gu, Yugo Watanabe, William Mazza, Alexander Shkapsky, Mohan Yang, Ling Ding & Carlo Zaniolo (2019):
RaSQL: Greater Power and Performance for Big Data Analytics with Recursive-aggregate-SQL on Spark.
In: SIGMOD'19,
doi:10.1145/3299869.3324959.
Tomasz Imielinski & Heikki Mannila (1996):
A Database Perspective on Knowledge Discovery.
Commun. ACM 39(11),
pp. 58–64,
doi:10.1145/240455.240472.
Sunita Sarawagi, Shiby Thomas & Rakesh Agrawal (2000):
Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications.
Data Mining and Knowledge Discovery 4(2),
doi:10.1145/276304.276335.
Jiwon Seo, Jongsoo Park, Jaeho Shin & Monica S. Lam (2013):
Distributed Socialite: A Datalog-based Language for Large-scale Graph Analysis.
Proc. VLDB Endow. 6(14),
pp. 1906–1917,
doi:10.14778/2556549.2556572.
Alexander Shkapsky, Mohan Yang, Matteo Interlandi, Hsuan Chiu, Tyson Condie & Carlo Zaniolo (2016):
Big Data Analytics with Datalog Queries on Spark.
In: SIGMOD'16,
doi:10.1145/2882903.2915229.
Jingjing Wang, Magdalena Balazinska & Daniel Halperin (2015):
Asynchronous and Fault-tolerant Recursive Datalog Evaluation in Shared-nothing Engines.
Proc. VLDB Endow. 8(12),
pp. 1542–1553,
doi:10.14778/2824032.2824052.
Mohan Yang, Alexander Shkapsky & Carlo Zaniolo (2017):
Scaling up the performance of more powerful Datalog systems on multicore machines.
VLDB J. 26(2),
pp. 229–248,
doi:10.1007/s00778-016-0448-z.
Carlo Zaniolo, Mohan Yang, Ariyam Das & Matteo Interlandi (2016):
The Magic of Pushing Extrema into Recursion: Simple, Powerful Datalog Programs.
In: AMW'16.
Carlo Zaniolo, Mohan Yang, Matteo Interlandi, Ariyam Das, Alexander Shkapsky & Tyson Condie (2017):
Fixpoint semantics and optimization of recursive Datalog programs with aggregates.
TPLP 17(5-6),
pp. 1048–1065,
doi:10.1017/S1471068417000436.
Carlo Zaniolo, Mohan Yang, Matteo Interlandi, Ariyam Das, Alexander Shkapsky & Tyson Condie (2018):
Declarative BigData Algorithms via Aggregates and Relational Database Dependencies.
In: AMW'18..
eptcs@eptcs.org