Data privacy: principles and practice - download pdf or read online

By Nataraj Venkataramanan, Ashwin Shriram

ISBN-10: 1315353768

ISBN-13: 9781315353760

ISBN-10: 1498721044

ISBN-13: 9781498721042

The publication covers information privateness extensive with admire to facts mining, attempt facts administration, man made facts iteration and so on. It formalizes ideas of knowledge privateness which are crucial for stable anonymization layout in line with the knowledge structure and self-discipline. the foundations define top practices and consider the conflicting dating among privateness and application. From a tradition point of view, it offers practitioners and researchers with a definitive advisor to procedure anonymization of varied facts codecs, together with multidimensional, longitudinal, time-series, transaction, and graph facts. as well as aiding CIOs defend personal information, it additionally deals a tenet as to how this is often carried out for a variety of information on the firm level.

Show description

Read Online or Download Data privacy: principles and practice PDF

Best data mining books

Download e-book for iPad: Principles of Data Mining (2nd Edition) (Undergraduate by Max Bramer

Information Mining, the automated extraction of implicit and in all likelihood necessary details from information, is more and more utilized in advertisement, medical and different software areas.

Principles of information Mining explains and explores the significant thoughts of information Mining: for class, organization rule mining and clustering. every one subject is obviously defined and illustrated via certain labored examples, with a spotlight on algorithms instead of mathematical formalism. it truly is written for readers with out a powerful historical past in arithmetic or statistics, and any formulae used are defined in detail.

This moment variation has been increased to incorporate extra chapters on utilizing common trend timber for organization Rule Mining, evaluating classifiers, ensemble type and working with very huge volumes of data.

Principles of information Mining goals to assist common readers strengthen the mandatory figuring out of what's contained in the 'black box' to allow them to use advertisement info mining programs discriminatingly, in addition to permitting complex readers or educational researchers to appreciate or give a contribution to destiny technical advances within the field.

Suitable as a textbook to aid classes at undergraduate or postgraduate degrees in quite a lot of matters together with laptop technology, enterprise stories, advertising, synthetic Intelligence, Bioinformatics and Forensic technological know-how.

Get Data-ism: The Revolution Transforming Decision Making, PDF

Steve Lohr, a expertise reporter for the recent York occasions, chronicles the increase of massive information, addressing state-of-the-art enterprise ideas and reading the darkish facet of a data-driven global. Coal, iron ore, and oil have been the main effective resources that fueled the economic Revolution. at the present time, information is the very important uncooked fabric of the data economic climate.

Additional info for Data privacy: principles and practice

Sample text

Consider a personal loan application in a bank. It has over two hundred fields that need to be filled in by the applicant. Most of these fields happen to be QI. Such a high number of fields in QI proves a major challenge for a­ nonymization. PPDM is exploratory in nature, and irrespective of which anonymization technique is used, there is bound to be high information loss or low utility. With high-dimensional data, it becomes ­difficult to define a clear boundary between QI and SD as we do not know how much background knowledge an adversary has.

Li, On the trade-off between privacy and utility in data publishing, in Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, Paris, France, June 28–July 1, 2009, pp. 517–525. N. Li, T. Li, and S. Venkatasubramanian, t-closeness: Privacy beyond k-­anonymity and l-diversity, in Proceedings of the IEEE International Conference Data Engineering (ICDE 2007), 2007, Istanbul, Turkey, pp. 106–115. 8. -W. Wong, J. -C. Fu, and K.  754–759. X. Xiao and Y.

Shlomo, Accessing microdata via the internet, Joint UN/ECE and Eurostat work session on statistical data confidentiality, Luxembourg, April 7–9, 2003. 11. D. Kifer and J. Gehrke, Injecting utility into anonymized datasets, in Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2006), Chicago, IL, June 27–29, 2006. 12. D. Greefhorst and E. Proper, Architecture Principles: The Cornerstone of Enterprise Architecture, Springer, Berlin, Heidelberg, 2011. P.  1010–1027.

Download PDF sample

Data privacy: principles and practice by Nataraj Venkataramanan, Ashwin Shriram

by William

Rated 4.55 of 5 – based on 48 votes