Rani Ingawale (63 results)

Condition: New.

Condition: New. In English.

Condition: New.

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. An Efficient Technique to Secure Data Access Multi Overlapping Slicing | An Efficient Technique to Secure Data Access for Multiple Domains Using Overlapping Slicing | Rani Ingawale (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207457243 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: New. In English.

Condition: New. In English.

Condition: New. In English.

Condition: New.

Taschenbuch. Condition: Neu. Une technique efficace pour sécuriser l'accès aux données Multi Overlapping Slici | pour de multiples domaines à l'aide du découpage en tranches superposées | Rani Ingawale (u. a.) | Taschenbuch | Französisch | 2024 | Editions Notre Savoir | EAN 9786207616244 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Jeffektiwnyj metod zaschity dostupa k dannym s ispol'zowaniem mnogokratnogo perekrytiq srezow | dlq neskol'kih domenow s pomosch'ü perekrywaüschejsq narezki | Rani Ingawale (u. a.) | Taschenbuch | Russisch | 2024 | Sciencia Scripts | EAN 9786207616275 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Uma técnica eficiente para proteger o acesso a dados Multi Overlapping Slicing | para Múltiplos Domínios Utilizando Slicing Sobreposto | Rani Ingawale (u. a.) | Taschenbuch | Portugiesisch | 2024 | Edições Nosso Conhecimento | EAN 9786207616268 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Una tecnica efficiente per rendere sicuro l'accesso ai dati con la tecnica del Multi Overlapping Slicing | per domini multipli utilizzando l'overlapping slicing | Rani Ingawale (u. a.) | Taschenbuch | Italienisch | 2024 | Edizioni Sapienza | EAN 9786207616251 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Eine effiziente Technik zum sicheren Datenzugriff Multi Overlapping Slicing | für mehrere Domänen mit überlappendem Slicing | Rani Ingawale (u. a.) | Taschenbuch | 56 S. | Deutsch | 2024 | Verlag Unser Wissen | EAN 9786207616220 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. …

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 60 pp. Englisch.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 56 pp. Spanisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data Mining is the process of analyzing data from different perspectives, summarizing it, and extracting the needed information from the database. Most enterprises are collecting and storing data in large databases. Database privacy is an important responsibility of organizations to protect clients sensitive information because client trusts them to do so. Various anonymization techniques have been proposed for the privacy of sensitive microdata. Generalization loses a considerable amount of information, especially for high-dimensional data. Bucketization does not prevent membership disclosure and does not apply to data that do not have a clear separation between quasi-identifying attributes and sensitive attributes. Slicing is a technique proposed for anonymized published datasets by partitioning the dataset vertically and horizontally. The proposed technique increases the utility and privacy of a sliced dataset by allowing overlapped slicing while maintaining the prevention of membership disclosure. It also provides secure data access for multiple domains. This novel approach works on overlapped slicing to improve, preserve data utility and privacy better traditional slicing.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Data Mining is the process of analyzing data from different perspectives, summarizing it, and extracting the needed information from the database. Most enterprises are collecting and storing data in large databases. Database privacy is an important responsi.…

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 56 pp. Französisch.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data Mining is the process of analyzing data from different perspectives, summarizing it, and extracting the needed information from the database. Most enterprises are collecting and storing data in large databases. Database privacy is an important responsibility of organizations to protect clients sensitive information because client trusts them to do so. Various anonymization techniques have been proposed for the privacy of sensitive microdata. Generalization loses a considerable amount of information, especially for high-dimensional data. Bucketization does not prevent membership disclosure and does not apply to data that do not have a clear separation between quasi-identifying attributes and sensitive attributes. Slicing is a technique proposed for anonymized published datasets by partitioning the dataset vertically and horizontally. The proposed technique increases the utility and privacy of a sliced dataset by allowing overlapped slicing while maintaining the prevention of membership disclosure. It also provides secure data access for multiple domains. This novel approach works on overlapped slicing to improve, preserve data utility and privacy better traditional slicing.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - La minería de datos es el proceso de analizar datos desde diferentes perspectivas, resumirlos y extraer la información necesaria de la base de datos. La mayoría de las empresas recopilan y almacenan datos en grandes bases de datos. La privacidad de las bases de datos es una responsabilidad importante de las organizaciones para proteger la información sensible de los clientes, ya que éstos confían en ellas para hacerlo. Se han propuesto varias técnicas de anonimización para la privacidad de los microdatos sensibles. La generalización pierde una cantidad considerable de información, especialmente en el caso de los datos de alta dimensión. La bucketización no impide la divulgación de los miembros y no se aplica a los datos que no tienen una separación clara entre atributos cuasi identificativos y atributos sensibles. Slicing es una técnica propuesta para los conjuntos de datos publicados anonimizados mediante la partición vertical y horizontal del conjunto de datos. La técnica propuesta aumenta la utilidad y la privacidad de un conjunto de datos segmentado al permitir la segmentación solapada, al tiempo que evita la divulgación de los miembros. También proporciona un acceso seguro a los datos para múltiples dominios. Este novedoso enfoque trabaja sobre el troceado solapado para mejorar y preservar la utilidad y privacidad de los datos mejor que el troceado tradicional.…