Secure Data Mining
Vorbestellbar | Lieferzeit: Vorbestellbar - Erscheint laut Verlag im/am 28.08.2024. I
Erstverkaufstag: 28.08.2024
85,65 €*
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ISBN-13:
9780387879659
Veröffentl:
2024
Erscheinungsdatum:
28.08.2024
Seiten:
280
Autor:
Justin Zhan
Format:
235x155x0 mm
Sprache:
Deutsch
Beschreibung:
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.
Illustrates crypto based privacy and security aspects of data mining
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.
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