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wyszukanych pozycji: 6
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Privacy, Security, and Trust in Kdd: Second ACM Sigkdd International Workshop, Pinkdd 2008, Las Vegas, Nevada, August 24, 2008, Revised Selected Paper
ISBN: 9783642017179 / Angielski / Miękka / 2009 / 127 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) Privacy, security, and trust in data mining are crucial and related issues that havecapturedthe attentionofmany researchers, administrators, andlegislators. Consequently, data mining for improved security and the study of suitable trust models, as well as data mining side-e?ects on privacy, have rapidly become a hot and lively research area. The issues are rooted in the real-worldand concern academia, industry, government, and society in general. The issues are global, andmanygovernmentsarestrugglingtosetnationalandinternationalpolicieson privacy, security, and trust for data mining...
Privacy, security, and trust in data mining are crucial and related issues that havecapturedthe attentionofmany researchers, administrators, andlegisl...
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201,24 |
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Knowledge Discovery in Inductive Databases: 4th International Workshop, Kdid 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited Pape
ISBN: 9783540332923 / Angielski / Miękka / 2006 / 252 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) The4thInternationalWorkshoponKnowledgeDiscoveryinInductiveDatabases (KDID 2005) was held in Porto, Portugal, on October 3, 2005 in conjunction with the 16th European Conference on Machine Learning and the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases. Ever since the start of the ?eld of data mining, it has been realized that the integration of the database technology into knowledge discovery processes was a crucial issue. This vision has been formalized into the inductive database perspective introduced by T. Imielinski and H. Mannila (CACM 1996,...
The4thInternationalWorkshoponKnowledgeDiscoveryinInductiveDatabases (KDID 2005) was held in Porto, Portugal, on October 3, 2005 in conjunction with th...
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201,24 |
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Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques
ISBN: 9781439803653 / Angielski / Twarda / 2010 / 542 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) Covering research at the frontier of this field, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques presents state-of-the-art privacy-preserving data mining techniques for application domains, such as medicine and social networks, that face the increasing heterogeneity and complexity of new forms of data. Renowned authorities from prominent organizations not only cover well-established results they also explore complex domains where privacy issues are generally clear and well defined, but the solutions are still preliminary and in continuous... Covering research at the frontier of this field, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques presents... |
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533,26 |
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Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques
ISBN: 9781138374102 / Angielski / Miękka / 2019 / 542 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) |
cena:
300,52 |
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Privacy, Security, and Trust in KDD: First ACM SIGKDD International Workshop, PinKDD 2007, San Jose, CA, USA, August 12, 2007, Revised, Selected Papers
ISBN: 9783540784777 / Angielski / Miękka / 2008 / 173 str. Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) without sacri?cing the privacy and security of the individuals to whom the data correspond.
without sacri?cing the privacy and security of the individuals to whom the data correspond.
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cena:
201,24 |
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Correlation Clustering
ISBN: 9783031791987 / Angielski / Miękka / 2022 Termin realizacji zamówienia: ok. 22 dni roboczych (Bez gwarancji dostawy przed świętami) Given a set of objects and a pairwise similarity measure between them, the goal of correlation clustering is to partition the objects in a set of clusters to maximize the similarity of the objects within the same cluster and minimize the similarity of the objects in different clusters. In most of the variants of correlation clustering, the number of clusters is not a given parameter; instead, the optimal number of clusters is automatically determined. Correlation clustering is perhaps the most natural formulation of clustering: as it just needs a definition of similarity, its broad generality...
Given a set of objects and a pairwise similarity measure between them, the goal of correlation clustering is to partition the objects in a set of clus...
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cena:
241,50 |
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