Zobrazeno 1 - 10
of 287
pro vyhledávání: '"Jeffrey D. Ullman"'
Publikováno v:
IEEE Transactions on Big Data. 8:1399-1413
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::daad35e56c514aeb0a5a96323a4e8b7c
https://doi.org/10.1109/tbdata.2021.3052516
https://doi.org/10.1109/tbdata.2021.3052516
Autor:
Jeffrey D. Ullman
Publikováno v:
XRDS: Crossroads, The ACM Magazine for Students. 29:10-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b246cf77a4e137e4f36c53afbd893a87
https://doi.org/10.1145/3571294
https://doi.org/10.1145/3571294
Autor:
Jeffrey D. ullman ullman@cs.stanford.edu
Publikováno v:
Communications of the ACM. Mar2009, Vol. 52 Issue 3, p34-37. 4p. 1 Color Photograph.
Autor:
Jeffrey D. Ullman
Publikováno v:
KDD
One can hear "Data Science" defined as a synonym for machine learning or as a branch of Statistics. I shall argue that it is far more than that; it is the natural evolution of the technology of very large-scale data management to solve problems in sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41717fc9869f0541db8b6f7ccec8a11b
https://doi.org/10.1145/3447548.3469651
https://doi.org/10.1145/3447548.3469651
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030780852
CSCML
CSCML
Computations, such as syndromic surveillance and e-commerce, are executed over the datasets collected from different geographical locations. Modern data processing systems, such as MapReduce/Hadoop or Spark, also, require to collect the data from dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27cf87e0afa36d43d3eca5f2ab46398e
https://doi.org/10.1007/978-3-030-78086-9_34
https://doi.org/10.1007/978-3-030-78086-9_34
Autor:
Jeffrey D. Ullman, Peeyush Gupta, Shantanu Sharma, Sharad Mehrotra, Dhrubajyoti Ghosh, Anurag Mishra
Despite extensive research on cryptography, secure and efficient query processing over outsourced data remains an open challenge. This paper continues along with the emerging trend in secure data processing that recognizes that the entire dataset may
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17a1abd53ea8760bcb01cb02f058ba76
Publikováno v:
Performance Evaluation and Benchmarking for the Era of Cloud(s) ISBN: 9783030550233
TPCTC
TPCTC
We propose the algorithms for performing multiway joins using a new type of coarse grain reconfigurable hardware accelerator – “Plasticine” – that, compared with other accelerators, emphasizes high compute capability and high on-chip communic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13ff82430ff960e9f7437326581b5cf2
https://doi.org/10.1007/978-3-030-55024-0_2
https://doi.org/10.1007/978-3-030-55024-0_2
Publikováno v:
Journal of Computer and System Sciences. 94:98-117
We consider the problem of computing data-cube marginals by a single round of MapReduce, focusing on the relationship between the reducer size and the replication rate. Initially, we simplify the problem by making the extent of each dimension the sam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce315b18f72f548157f53fdb6a1fbc1e
https://doi.org/10.1016/j.jcss.2017.02.007
https://doi.org/10.1016/j.jcss.2017.02.007
Autor:
Jeffrey D. Ullman
Publikováno v:
Electronic Proceedings in Theoretical Computer Science. 345:5-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57a972e94b1bb57fc279584ac9697a61
https://doi.org/10.4204/eptcs.345.5
https://doi.org/10.4204/eptcs.345.5
Publikováno v:
ACM SIGMOD Record. 46:43-48
This report summarizes the presentations and discussions of the fourth workshop on Algorithms and Systems for MapReduce and Beyond (BeyondMR '17). The BeyondMR workshop was held in conjunction with the 2017 SIGMOD/PODS conference in Chicago, Illinois
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e62acf46d5ac241c00e28e3e050a758a
https://doi.org/10.1145/3137586.3137596
https://doi.org/10.1145/3137586.3137596