Over the last few years with the exponential increase in the amount digital data generated from and stored in large warehouses for various scientific and statistical analytical-scientific purposes. There is growing concern about the data privacy as the data collected may contain personal sensitive information as well other crucial information. Hence there is a probability that this could be misused. In our study we highlight the key concepts, tools and techniques in data privacy protection, a vital component that forms the life cycle of digital data, starting from data gathering – data processing ,data analysis to visualization and interpretation. We apply data anonymity, a commonly used data protection technique which works on k anonymity algorithm and study the resultant outcome. Data anonymity and other data protection techniques seldom come with information loss, which may alter the overall analysis result bychanging the nature of dataset. In this study we apply and anonymize the dataset using different techniques and study the outcomes.
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Over the last few years with the exponential increase in the amount digital data generated from and stored in large warehouses for various scientific and statistical analytical-scientific purposes. There is growing concern about the data privacy as the data collected may contain personal sensitive information as well other crucial information. Hence there is a probability that this could be misused. In our study we highlight the key concepts, tools and techniques in data privacy protection, a vital component that forms the life cycle of digital data, starting from data gathering – data processing ,data analysis to visualization and interpretation. We apply data anonymity, a commonly used data protection technique which works on k anonymity algorithm and study the resultant outcome. Data anonymity and other data protection techniques seldom come with information loss, which may alter the overall analysis result bychanging the nature of dataset. In this study we apply and anonymize the dataset using different techniques and study the outcomes.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the last few years with the exponential increase in the amount digital data generated from and stored in large warehouses for various scientific and statistical analytical-scientific purposes. There is growing concern about the data privacy as the data collected may contain personal sensitive information as well other crucial information. Hence there is a probability that this could be misused. In our study we highlight the key concepts, tools and techniques in data privacy protection, a vital component that forms the life cycle of digital data, starting from data gathering - data processing ,data analysis to visualization and interpretation. We apply data anonymity, a commonly used data protection technique which works on k anonymity algorithm and study the resultant outcome. Data anonymity and other data protection techniques seldom come with information loss, which may alter the overall analysis result bychanging the nature of dataset. In this study we apply and anonymize the dataset using different techniques and study the outcomes. 56 pp. Englisch. N° de réf. du vendeur 9783659877612
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the last few years with the exponential increase in the amount digital data generated from and stored in large warehouses for various scientific and statistical analytical-scientific purposes. There is growing concern about the data privacy as the data collected may contain personal sensitive information as well other crucial information. Hence there is a probability that this could be misused. In our study we highlight the key concepts, tools and techniques in data privacy protection, a vital component that forms the life cycle of digital data, starting from data gathering - data processing ,data analysis to visualization and interpretation. We apply data anonymity, a commonly used data protection technique which works on k anonymity algorithm and study the resultant outcome. Data anonymity and other data protection techniques seldom come with information loss, which may alter the overall analysis result bychanging the nature of dataset. In this study we apply and anonymize the dataset using different techniques and study the outcomes. N° de réf. du vendeur 9783659877612
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock. N° de réf. du vendeur 3659877611
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hebbar Koni V. VittalMr K. V. Vittal Hebbar has obtained his master degree in data science from university of East London ,London in Sep 2015.Key programs included in data science are Data Ecology ,qualitative,quantitative data analy. N° de réf. du vendeur 159146839
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over the last few years with the exponential increase in the amount digital data generated from and stored in large warehouses for various scientific and statistical analytical-scientific purposes. There is growing concern about the data privacy as the data collected may contain personal sensitive information as well other crucial information. Hence there is a probability that this could be misused. In our study we highlight the key concepts, tools and techniques in data privacy protection, a vital component that forms the life cycle of digital data, starting from data gathering ¿ data processing ,data analysis to visualization and interpretation. We apply data anonymity, a commonly used data protection technique which works on k anonymity algorithm and study the resultant outcome. Data anonymity and other data protection techniques seldom come with information loss, which may alter the overall analysis result bychanging the nature of dataset. In this study we apply and anonymize the dataset using different techniques and study the outcomes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. N° de réf. du vendeur 9783659877612
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Data Anonymity - Privacy preservation in Open Data Publishing | Privacy Preservation in Public-Private Data Disclosure | Koni V. Vittal Hebbar | Taschenbuch | 56 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659877612 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 103712861
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Vendeur : Buchpark, Trebbin, Allemagne
Etat : Sehr gut. Zustand: Sehr gut | Seiten: 56 | Sprache: Englisch | Produktart: Bücher | Over the last few years with the exponential increase in the amount digital data generated from and stored in large warehouses for various scientific and statistical analytical-scientific purposes. There is growing concern about the data privacy as the data collected may contain personal sensitive information as well other crucial information. Hence there is a probability that this could be misused. In our study we highlight the key concepts, tools and techniques in data privacy protection, a vital component that forms the life cycle of digital data, starting from data gathering ¿ data processing ,data analysis to visualization and interpretation. We apply data anonymity, a commonly used data protection technique which works on k anonymity algorithm and study the resultant outcome. Data anonymity and other data protection techniques seldom come with information loss, which may alter the overall analysis result bychanging the nature of dataset. In this study we apply and anonymize the dataset using different techniques and study the outcomes. N° de réf. du vendeur 26860243/2
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