Secure Data Mining

Zhan Justin Matwin Stan
Innbundet / 2024 / Engelsk

Produktdetaljer

ISBN
9780387879659
Publisert
2024-08-28
Utgiver
Vendor
Springer-Verlag New York Inc.
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Professional/practitioner, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
280

Forfatter
Zhan Justin
Matwin Stan

Secure Data Mining

Zhan Justin Matwin Stan
Innbundet / 2024 / Engelsk
Zhan Justin Matwin Stan
Innbundet / 2024 / Engelsk
Nettpris:
917,-
Laveste pris siste 30 dager: 868,-
Levering 7-20 dager
Klikk og hent
Data mining is a process to extract useful knowledge from large amounts of data. To conduct data mining, we often need to collect data. However, privacy concerns may prevent people from sharing the data and some types of information about the data. How we conduct data mining without breaching data privacy presents a challenge. Secure Data Mining provides solutions to the problem of data mining without compromising data privacy. This professional book is designed for practitioners and researchers in industry, as well as a secondary textbook for advanced-level students in computer science.
Les mer
Data mining is a process to extract useful knowledge from large amounts of data. To conduct data mining, we often need to collect data. How we conduct data mining without breaching data privacy presents a challenge.Secure Data Mining provides solutions to the problem of data mining without compromising data privacy.
Les mer
Preface.- Introduction.- Literature Review.- Fundamental Security and Privacy.- Privacy-Preserving Association Rule Mining.- Privacy-Preserving Sequential Pattern Mining.- Privacy-Preserving Naive Bayesian Classification.- Privacy-Preserving Decision Tree Classification.- Privacy-Preserving k-Nearest Neighbor Classification.- Privacy-Preserving Support Vector Machine Classification.- Privacy-Preserving k-Mean Clustering.- Privacy-Preserving k-Medoids Clustering.- Other Selected Topics.- Conclusion and Future Work.- Index.
Les mer
Illustrates crypto based privacy and security aspects of data mining Includes information on semantic security, for which the market has very little available research

Relaterte produkter

Data mining is a process to extract useful knowledge from large amounts of data. To conduct data mining, we often need to collect data. However, privacy concerns may prevent people from sharing the data and some types of information about the data. How we conduct data mining without breaching data privacy presents a challenge. Secure Data Mining provides solutions to the problem of data mining without compromising data privacy. This professional book is designed for practitioners and researchers in industry, as well as a secondary textbook for advanced-level students in computer science.
Les mer
Data mining is a process to extract useful knowledge from large amounts of data. To conduct data mining, we often need to collect data. How we conduct data mining without breaching data privacy presents a challenge.Secure Data Mining provides solutions to the problem of data mining without compromising data privacy.
Les mer
Preface.- Introduction.- Literature Review.- Fundamental Security and Privacy.- Privacy-Preserving Association Rule Mining.- Privacy-Preserving Sequential Pattern Mining.- Privacy-Preserving Naive Bayesian Classification.- Privacy-Preserving Decision Tree Classification.- Privacy-Preserving k-Nearest Neighbor Classification.- Privacy-Preserving Support Vector Machine Classification.- Privacy-Preserving k-Mean Clustering.- Privacy-Preserving k-Medoids Clustering.- Other Selected Topics.- Conclusion and Future Work.- Index.
Les mer
Illustrates crypto based privacy and security aspects of data mining Includes information on semantic security, for which the market has very little available research

Produktdetaljer

ISBN
9780387879659
Publisert
2024-08-28
Utgiver
Vendor
Springer-Verlag New York Inc.
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Professional/practitioner, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
280

Forfatter
Zhan Justin
Matwin Stan

Relaterte produkter