Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Mirel Cosulschi"'
Publikováno v:
Algorithms, Vol 9, Iss 1, p 7 (2016)
Nowadays, a leading instance of big data is represented by Web data that lead to the definition of so-called big Web data. Indeed, extending beyond to a large number of critical applications (e.g., Web advertisement), these data expose several charac
Externí odkaz:
https://doaj.org/article/81202b5aff0e432aaa90f15a2ec9f93c
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 30:117-128
The task of the standard Mamdani fuzzy logic controller is to find a crisp control action from the fuzzy rule-base and from a set of crisp inputs. In this paper we modify this controller in order to work with Atanassov's intuitionistic fuzzy sets and
Publikováno v:
INISTA
Mining association rules from large databases is one of the most important tasks from data mining. Nowadays, the majority of companies produce a significant amount of data stored in distributed databases. In this case, most of the traditional algorit
Publikováno v:
Intelligent Computing Systems ISBN: 9783662491775
Large amounts of data can be found today in all areas as a result of various processes like e-commerce transactions, banking or credit card transactions, or web navigation user sessions (recorded into web server logs). The development and implementat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73e40a3e35bfb612a4a26f7249641ee5
https://doi.org/10.1007/978-3-662-49179-9_15
https://doi.org/10.1007/978-3-662-49179-9_15
Publikováno v:
BCI
Any rule-based system uses a knowledge base consists of a set of rules. Identifying a standard for storing and handling of rules and rulesets became a challenge. RuleML family of languages provides the interoperability framework for rules but does no
Publikováno v:
IISA
Big data is a hot topic nowadays due to the huge amount of data resulted from various commercial processes and also due to every day data handled by social networks. The MapReduce programming model focuses on processing and generating large data sets
Publikováno v:
Computational Collective Intelligence. Technologies and Applications ISBN: 9783642404948
ICCCI
ICCCI
The task of the standard Mamdani fuzzy logic controller is to find a crisp control action from the fuzzy rule-base and from a set of crisp inputs. In this paper we modify this controller in order to work with intuitionistic fuzzy sets and to activate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c644b9397dde2341115d012291f11953
https://doi.org/10.1007/978-3-642-40495-5_24
https://doi.org/10.1007/978-3-642-40495-5_24
Publikováno v:
Revista de Informática Teórica e Aplicada; v. 16, n. 2 (2009); 77-78
An important aspect of research for Web information extraction relates to the inference of complex reasoning and correlation based on distributed information available in many different Web data sources. By defining the semantics of information and s
Publikováno v:
Studies in Computational Intelligence ISBN: 9783642152108
IDC
IDC
The problem of using legacy information systems by making their services publicly available from the Web has become a tedious one due to the diversity of platforms (operating systems, programming languages, database management systems) on which they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6ddb75719d66069b27a7c1e4290eae8
https://doi.org/10.1007/978-3-642-15211-5_5
https://doi.org/10.1007/978-3-642-15211-5_5
Publikováno v:
Business Process Management Workshops ISBN: 9783642003271
Business Process Management Workshops
Business Process Management Workshops
Standardization initiatives on the field claim to be a consequence of the long expected maturity of Business Process Management (i.e. BPM) market and they try to impose a precise semantics for an unique and common understanding. Standard specificatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b624d8e85a7c2b4169edaf388bbf9105
https://doi.org/10.1007/978-3-642-00328-8_59
https://doi.org/10.1007/978-3-642-00328-8_59