Gerlach Lauritz (20 results)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: New
US$ 84.43
US$ 2.64 shippingShips within U.S.A.Quantity: 3 available
Condition: New.
- Hardcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contact seller5-star sellerCondition: New
US$ 87.08
Free ShippingShips within U.S.A.Quantity: 2 available
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
Contact seller5-star sellerCondition: New
US$ 86.00
US$ 6.73 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
US$ 94.60
US$ 2.64 shippingShips within U.S.A.Quantity: 3 available
Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
US$ 85.99
US$ 20.10 shippingShips from United Kingdom to U.S.A.Quantity: 3 available
Condition: New.
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 98.38
US$ 20.10 shippingShips from United Kingdom to U.S.A.Quantity: 3 available
Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermanyRheinberg-Buch Andreas Meier eK
Contact seller5-star sellerCondition: New
US$ 94.02
US$ 26.26 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. Neuware -The author explores the nature of data anonymization under the GDPR, with a particular focus on means of differential privacy. First, he examines the requirement of 'identified or identifiable' in Art. 4 GDPR. Building on this foundation, he describes and evaluates different methods for the anonymi…zation of structured and unstructured data, especially text data. The author describes the role of machine learning and artificial intelligence with regard to anonymizing unstructured data and elaborates on the data protection implications of training and using AI/ML models (including federated learning setups) for this purpose.; Daten sind eine zentrale Ressource des 21. Jahrhunderts. Daten dienen individuellen, kollektiven und Gemeinwohlzwecken. Daten und Datenökosysteme prägen die Wettbewerbsfähigkeit von kommerziellen, nicht-kommerziellen und staatlichen Akteuren gleichermaßen. Die Kalibrierung der Nutzung und Nutzungsszenarien von Daten ist eine eminente Frage für (Selbst-)Regulierer - auf dem nationalen, supranationalen und internationalen Level. Globale, vergleichende und interdisziplinäre Perspektiven sind notwendig, um eine adäquate Balance zwischen datenbezogener Kooperation und datenbezogenem Wettbewerb zu erzielen. Diese Perspektiven reichen weit über das Datenschutzrecht hinaus und umfassen unter anderem das Daten(wirtschafts)recht, das Open Data-Recht, das Geheimnisschutzrecht und das Immaterialgüterrecht. Vor diesem Hintergrund widmet sich die Reihe zentralen Fragestellungen des Internationalen und Vergleichenden Datenrechts sowie der Datenpolitik. Die Reihe umfasst Studien und Monographien sowie Tagungs- und Sammelbände. 264 pp. Englisch.
- Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
Contact seller5-star sellerCondition: New
US$ 94.02
US$ 26.26 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. Neuware -The author explores the nature of data anonymization under the GDPR, with a particular focus on means of differential privacy. First, he examines the requirement of 'identified or identifiable' in Art. 4 GDPR. Building on this foundation, he describes and evaluates different methods for the anonymi…zation of structured and unstructured data, especially text data. The author describes the role of machine learning and artificial intelligence with regard to anonymizing unstructured data and elaborates on the data protection implications of training and using AI/ML models (including federated learning setups) for this purpose.; Daten sind eine zentrale Ressource des 21. Jahrhunderts. Daten dienen individuellen, kollektiven und Gemeinwohlzwecken. Daten und Datenökosysteme prägen die Wettbewerbsfähigkeit von kommerziellen, nicht-kommerziellen und staatlichen Akteuren gleichermaßen. Die Kalibrierung der Nutzung und Nutzungsszenarien von Daten ist eine eminente Frage für (Selbst-)Regulierer - auf dem nationalen, supranationalen und internationalen Level. Globale, vergleichende und interdisziplinäre Perspektiven sind notwendig, um eine adäquate Balance zwischen datenbezogener Kooperation und datenbezogenem Wettbewerb zu erzielen. Diese Perspektiven reichen weit über das Datenschutzrecht hinaus und umfassen unter anderem das Daten(wirtschafts)recht, das Open Data-Recht, das Geheimnisschutzrecht und das Immaterialgüterrecht. Vor diesem Hintergrund widmet sich die Reihe zentralen Fragestellungen des Internationalen und Vergleichenden Datenrechts sowie der Datenpolitik. Die Reihe umfasst Studien und Monographien sowie Tagungs- und Sammelbände. 264 pp. Englisch.
- Hardcover
Seller: Wegmann1855, Zwiesel, GermanyWegmann1855
Contact seller5-star sellerCondition: New
US$ 94.02
US$ 29.63 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. Neuware -The author explores the nature of data anonymization under the GDPR, with a particular focus on means of differential privacy. First, he examines the requirement of 'identified or identifiable' in Art. 4 GDPR. Building on this foundation, he describes and evaluates different methods for the anonymi…zation of structured and unstructured data, especially text data. The author describes the role of machine learning and artificial intelligence with regard to anonymizing unstructured data and elaborates on the data protection implications of training and using AI/ML models (including federated learning setups) for this purpose.
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
US$ 125.43
US$ 3.99 shippingShips within U.S.A.Quantity: 1 available
Condition: New.
- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
US$ 121.87
US$ 8.71 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: New.
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
US$ 124.11
US$ 16.75 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Hardcover. Condition: Brand New. 280 pages. 6.14x0.69x9.21 inches. In Stock.
- Hardcover
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
US$ 85.43
US$ 55.93 shippingShips from Germany to U.S.A.Quantity: 2 available
Condition: New. Daten sind eine zentrale Ressource des 21. Jahrhunderts. Daten dienen individuellen, kollektiven und Gemeinwohlzwecken. Daten und Datenoekosysteme praegen die Wettbewerbsfaehigkeit von kommerziellen, nicht-kommerziellen und staatlichen Akteuren gleichermasse.
- Hardcover
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
US$ 94.02
US$ 68.50 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. Neuware -The author explores the nature of data anonymization under the GDPR, with a particular focus on means of differential privacy. First, he examines the requirement of 'identified or identifiable' in Art. 4 GDPR. Building on this foundation, he describes and evaluates different methods for the anonymi…zation of structured and unstructured data, especially text data. The author describes the role of machine learning and artificial intelligence with regard to anonymizing unstructured data and elaborates on the data protection implications of training and using AI/ML models (including federated learning setups) for this purpose.Walter de Gruyter, Genthiner Straße 13, 10785 Berlin 264 pp. Englisch.
- Hardcover
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
US$ 86.91
US$ 79.92 shippingShips from Germany to U.S.A.Quantity: 1 available
Buch. Condition: Neu. Anonymization and Identifiability | Enhancing Data Protection Through Differential Privacy and Artificial Intelligence | Lauritz Gerlach | Buch | Global and Comparative Data Law | XVI | Englisch | 2026 | Walter de Gruyter | EAN 9783119142601 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gr…uyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu.
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
US$ 103.89
US$ 71.52 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. Neuware - The author explores the nature of data anonymization under the GDPR, with a particular focus on means of differential privacy. First, he examines the requirement of 'identified or identifiable' in Art. 4 GDPR. Building on this foundation, he describes and evaluates different methods for the anonym…ization of structured and unstructured data, especially text data. The author describes the role of machine learning and artificial intelligence with regard to anonymizing unstructured data and elaborates on the data protection implications of training and using AI/ML models (including federated learning setups) for this purpose.; Daten sind eine zentrale Ressource des 21. Jahrhunderts. Daten dienen individuellen, kollektiven und Gemeinwohlzwecken. Daten und Datenökosysteme prägen die Wettbewerbsfähigkeit von kommerziellen, nicht-kommerziellen und staatlichen Akteuren gleichermaßen. Die Kalibrierung der Nutzung und Nutzungsszenarien von Daten ist eine eminente Frage für (Selbst-)Regulierer - auf dem nationalen, supranationalen und internationalen Level. Globale, vergleichende und interdisziplinäre Perspektiven sind notwendig, um eine adäquate Balance zwischen datenbezogener Kooperation und datenbezogenem Wettbewerb zu erzielen. Diese Perspektiven reichen weit über das Datenschutzrecht hinaus und umfassen unter anderem das Daten(wirtschafts)recht, das Open Data-Recht, das Geheimnisschutzrecht und das Immaterialgüterrecht. Vor diesem Hintergrund widmet sich die Reihe zentralen Fragestellungen des Internationalen und Vergleichenden Datenrechts sowie der Datenpolitik. Die Reihe umfasst Studien und Monographien sowie Tagungs- und Sammelbände.
- Hardcover
Seller: Books-by-Floh, Paderborn, GermanyBooks-by-Floh
Contact seller4-star sellerCondition: New
US$ 125.57
US$ 119.88 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. Neuware -The author explores the nature of data anonymization under the GDPR, with a particular focus on means of differential privacy. First, he examines the requirement of 'identified or identifiable' in Art. 4 GDPR. Building on this foundation, he describes and evaluates different methods for the anonymi…zation of structured and unstructured data, especially text data. The author describes the role of machine learning and artificial intelligence with regard to anonymizing unstructured data and elaborates on the data protection implications of training and using AI/ML models (including federated learning setups) for this purpose. 264 pp. Englisch.
- Hardcover
- Print on Demand
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
US$ 79.31
US$ 37.00 shippingShips from Australia to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. The author explores the nature of data anonymization under the GDPR, with a particular focus on means of differential privacy. First, he examines the requirement of identified or identifiable in Art. 4 GDPR. Building on this foundation, he describes and evaluates different methods for the an…onymization of structured and unstructured data, especially text data. The author describes the role of machine learning and artificial intelligence with regard to anonymizing unstructured data and elaborates on the data protection implications of training and using AI/ML models (including federated learning setups) for this purpose. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Hardcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
US$ 119.75
Free ShippingShips within U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. The author explores the nature of data anonymization under the GDPR, with a particular focus on means of differential privacy. First, he examines the requirement of identified or identifiable in Art. 4 GDPR. Building on this foundation, he describes and evaluates different methods for the an…onymization of structured and unstructured data, especially text data. The author describes the role of machine learning and artificial intelligence with regard to anonymizing unstructured data and elaborates on the data protection implications of training and using AI/ML models (including federated learning setups) for this purpose. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Hardcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
US$ 136.63
US$ 49.58 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. The author explores the nature of data anonymization under the GDPR, with a particular focus on means of differential privacy. First, he examines the requirement of identified or identifiable in Art. 4 GDPR. Building on this foundation, he describes and evaluates different methods for the an…onymization of structured and unstructured data, especially text data. The author describes the role of machine learning and artificial intelligence with regard to anonymizing unstructured data and elaborates on the data protection implications of training and using AI/ML models (including federated learning setups) for this purpose. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
