Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Eynollah Khanjari"'
Publikováno v:
IEEE Access, Vol 8, Pp 59637-59647 (2020)
In conventional data mining methods, the output is either a description of input data or a prediction of unseen data. But the real-world problems usually require interventions in order to alter the current data specifications towards a desirable goal
Externí odkaz:
https://doaj.org/article/0c68662ff2fc41dba143fb6b28087c4e
Autor:
Eynollah Khanjari, Leila Gaeini
Publikováno v:
Journal of Big Data, Vol 5, Iss 1, Pp 1-17 (2018)
Abstract Query processing based on labeling dynamic XML documents has gained more attention in the past several years. An efficient labeling scheme should provide small size labels keeping the simplicity of the exploited algorithm in order to avoid c
Externí odkaz:
https://doaj.org/article/09793ff15ac746e3811207b1b3d4fe54
Publikováno v:
PLoS ONE, Vol 10, Iss 6, p e0130693 (2015)
Maintaining privacy in network data publishing is a major challenge. This is because known characteristics of individuals can be used to extract new information about them. Recently, researchers have developed privacy methods based on k-anonymity and
Externí odkaz:
https://doaj.org/article/ebda22cd330c47f5b1a48aae869ff1ac
Publikováno v:
2022 8th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS).
Publikováno v:
Journal of Intelligent & Fuzzy Systems, 39(1), 489-501. IOS Press
Knowledge discovery and data mining provide an array of solutions for real-world problems. When facing business requirements, the ultimate goal of knowledge discovery is not the knowledge itself but rather making the gained knowledge practical. Conse
Autor:
Eynollah Khanjari, Nasrin Kalanat
Publikováno v:
Journal of Intelligent Information Systems. 54:317-339
Data mining methods focus on discovering models and patterns from large databases that summarize the data. However, generating such results is not an end in itself because their applicability is not straightforward. Ideally, the user would ultimately
Autor:
Nasrin Kalanat, Eynollah Khanjari
Publikováno v:
Expert Systems with Applications. 152:113382
Actionable Knowledge Discovery has attracted much interest lately. It is almost a new paradigm shift toward mining more usable and more applicable knowledge in each specific domain. An action is a new tool in this research area that suggests some cha
Publikováno v:
Intelligent Data Engineering and Automated Learning-IDEAL 2009 ISBN: 9783642043932
IDEAL
IDEAL
Discovering global models on a dataset (e.g., classifiers, clusterings, summaries) has attracted a lot of attention and many approaches can be found in the literature. However no framework has been proposed yet for describing and comparing these appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6868bd44e2f60fd98757d2275fff789e
https://doi.org/10.1007/978-3-642-04394-9_53
https://doi.org/10.1007/978-3-642-04394-9_53
Publikováno v:
PLoS ONE, Vol 10, Iss 6, p e0130693 (2015)
PLoS ONE
PLoS ONE
Maintaining privacy in network data publishing is a major challenge. This is because known characteristics of individuals can be used to extract new information about them. Recently, researchers have developed privacy methods based on k-anonymity and
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