| 000 | 03746nam a2200301 a 4500 | ||
|---|---|---|---|
| 001 | vtls000055992 | ||
| 003 | KUKTEM | ||
| 005 | 20251117150503.0 | ||
| 008 | 111116t2011 flua f 001 0 eng d | ||
| 020 | _a9781439803653 | ||
| 020 | _a143980365X | ||
| 039 | 9 |
_a201205021458 _basmadi _y201111161228 _zsafura |
|
| 040 | _aUMP | ||
| 090 | _aQA76.9.D314 P75 2011 | ||
| 245 | 0 | 0 |
_aPrivacy-aware knowledge discovery : _bnovel applications and new techniques / _cedited by Francesco Bonchi, Elena Ferrari |
| 260 |
_aBoca Raton, FL : _bCRC Press, _c2011 |
||
| 300 |
_axxvii, 514 p. : _bill. ; _c25 cm. |
||
| 490 | 0 |
_aChapman & Hall/CRC data mining and knowledge discovery series ; _v19 |
|
| 504 | _aIncludes bibliographical references and index | ||
| 520 | _a"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 development. Divided into seven parts, the book provides in-depth coverage of the most novel reference scenarios for privacy-preserving techniques. The first part gives general techniques that can be applied to various applications discussed in the rest of the book. The second section focuses on the sanitization of network traces and privacy in data stream mining. After the third part on privacy in spatio-temporal data mining and mobility data analysis, the book examines time series analysis in the fourth section, explaining how a perturbation method and a segment-based method can tackle privacy issues of time series data. The fifth section on biomedical data addresses genomic data as well as the problem of privacy-aware information sharing of health data. In the sixth section on web applications, the book deals with query log mining and web recommender systems. The final part on social networks analyzes privacy issues related to the management of social network data under different perspectives.While several new results have recently occurred in the privacy, database, and data mining research communities, a uniform presentation of up-to-date techniques and applications is lacking. Filling this void, Privacy-Aware Knowledge Discovery presents novel algorithms, patterns, and models, along with a significant collection of open problems for future investigation"--Provided by publisher | ||
| 520 | _a"Covering research at the frontier of this field, Privacy-Aware Knowledge Discovery 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 development. The book focuses on intricate, real-world applications in medicine, biology, the web, social networks, and mobility observation systems"--Provided by publisher | ||
| 650 | 0 | _aDatabase security | |
| 650 | 0 | _aData mining | |
| 650 | 0 | _aConfidential communications | |
| 700 | 1 | _aBonchi, Francesco | |
| 700 | 1 | _aFerrari, Elena | |
| 999 |
_aVIRTUA40 _c59339 _d59345 |
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