Zobrazeno 1 - 10
of 357
pro vyhledávání: '"Domain relational calculus"'
Autor:
Bonnie R. Schultz, Jonathan Eckstein
Publikováno v:
Introductory Relational Database Design for Business, with Microsoft Access
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf2485fb3fe1c2afa78a29842e7f4b9e
https://doi.org/10.1002/9781119430087.ch4
https://doi.org/10.1002/9781119430087.ch4
Publikováno v:
Proceedings of the ACM on Programming Languages
22nd ACM SIGPLAN International Conference on Functional Programming
22nd ACM SIGPLAN International Conference on Functional Programming
Relational program verification is a variant of program verification where one can reason about two programs and as a special case about two executions of a single program on different inputs. Relational program verification can be used for reasoning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fe8c09e9bfbe27c16b19a7580e24f19
https://doi.org/10.1145/3110265
https://doi.org/10.1145/3110265
Autor:
Paolo Terenziani
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 28:2822-2826
Despite the huge amount of work devoted to the treatment of time within the relational context, few relevant temporal phenomena still remain to be addressed. One of them is the treatment of “ nearly periodic events ”, i.e., events/facts that occu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d864804f8e1a779188ad5ed49aa7bc7d
https://doi.org/10.1109/tkde.2016.2585483
https://doi.org/10.1109/tkde.2016.2585483
Publikováno v:
18th International Conference Artificial Intelligence: Methodology, Systems, and Applications (AIMSA 2018)
18th International Conference Artificial Intelligence: Methodology, Systems, and Applications (AIMSA 2018), 2018, Varna, Bulgaria. pp.218-227, ⟨10.1007/978-3-319-99344-7_20⟩
Artificial Intelligence: Methodology, Systems, and Applications ISBN: 9783319993430
AIMSA
18th International Conference Artificial Intelligence: Methodology, Systems, and Applications (AIMSA 2018), 2018, Varna, Bulgaria. pp.218-227, ⟨10.1007/978-3-319-99344-7_20⟩
Artificial Intelligence: Methodology, Systems, and Applications ISBN: 9783319993430
AIMSA
A Cognitive map is a graphical semantic model that represents influences between concepts. A cognitive map is easy to design and use, but the only query a user can make on it is to infer the propagated influence from a concept to another. This paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48adffb5b6414dd8197413a455a292f9
https://hal.univ-angers.fr/hal-02955421
https://hal.univ-angers.fr/hal-02955421
Autor:
Pham Hai Bac
Publikováno v:
Journal of Computer Science and Cybernetics. 1:20-23
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06b3292fec620a68dae8d0d4221e90d8
https://doi.org/10.15625/1813-9663/1/4/6701
https://doi.org/10.15625/1813-9663/1/4/6701
Autor:
Santiago Ontaòón, Enric Plaza
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
We present a new approach lo learn from relational data based on re-representation of the examples. This approach, called property-based re-representation is based on a new analysis of the structure of refinement graphs used in ILP and relational lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c07faca31188d6b1a5c72f08039829ce
https://doi.org/10.3233/aic-140621
https://doi.org/10.3233/aic-140621
Autor:
Piotr Hońko
Publikováno v:
Thriving Rough Sets ISBN: 9783319549651
Rough set theory and granular computing have widely been applied in data mining. They have been used separately as well as a combined approach called rough-granular computing. The usefulness of this approach in data mining is the driving force for em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72b0a5bb217b0529f20e8ee34768f89c
https://doi.org/10.1007/978-3-319-54966-8_19
https://doi.org/10.1007/978-3-319-54966-8_19
Autor:
Angelika Kimmig, Esther Galbrun
Publikováno v:
Machine Learning
Machine Learning, Springer Verlag, 2014, 96 (3), pp.225-248. ⟨10.1007/s10994-013-5402-3⟩
Machine Learning, Springer Verlag, 2014, 96 (3), pp.225-248. ⟨10.1007/s10994-013-5402-3⟩
We introduce relational redescription mining, that is, the task of finding two structurally different patterns that describe nearly the same set of object pairs in a relational dataset. By extending redescription mining beyond propositional and real-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7acb622be02794ed3116fb9729e79bf
https://doi.org/10.1007/s10994-013-5402-3
https://doi.org/10.1007/s10994-013-5402-3
Autor:
P. Terenziani
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 25:1181-1185
Event relations are used in many temporal relational database approaches to represent facts occurring at time instants. However, to the best of our knowledge, none of such approaches fully copes with the definition of events as provided, e.g., by the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0b5b2e283cbd443d07efffe78bb0fdb
https://doi.org/10.1109/tkde.2011.265
https://doi.org/10.1109/tkde.2011.265
Autor:
Boris E. Panchenko
Publikováno v:
Journal of Automation and Information Sciences. 45:30-49
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::134d5b5e7f84dd5fc9dbce75fa8cdf4d
https://doi.org/10.1615/jautomatinfscien.v45.i1.30
https://doi.org/10.1615/jautomatinfscien.v45.i1.30