64 Results for : deletion

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    Analysis & Diagnostics of Categorical Variables with Multiple Outcomes ab 78.99 € als Taschenbuch: Odds Ratio Estimation Modelling Strategies Deletion Diagnostics and Graphical Diagnostic Methods for Multiple Response Data. Aus dem Bereich: Bücher, Wissenschaft, Mathematik,
    • Shop: hugendubel
    • Price: 78.99 EUR excl. shipping
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    Learning the Graph Edit Distance by Embedding the Graph Matching ab 54.99 € als Taschenbuch: A learning method to automatically deduce the insertion deletion and substitution costs in Graph edit distance. Aus dem Bereich: Bücher, Ratgeber, Computer & Internet,
    • Shop: hugendubel
    • Price: 54.99 EUR excl. shipping
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    Say and Do Accelerated ReadingTM Vol. II Upper Primary ab 61.99 € als Taschenbuch: Over 110 pages of Phonological Awareness Activity Worksheets on: Identification of Phonemes Blending Phonemes Segmentation of Phonemes Deletion of Phonemes Addition of Phonemes Manipulation of Phonemes. Aus dem Bereich: Bücher, Taschenbücher, Ratgeber,
    • Shop: hugendubel
    • Price: 61.99 EUR excl. shipping
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    Are you looking for a simple programming language to learn? If so, then pay attention.SQL is a great language to learn for any business that wants to be able to keep things organized, and it can open the doors for a lot of cool things on your website and for promoting your business. Take a look at this guide and learn everything you will need to know in order to use SQL for your business! SQL stands for Structured Query Language, and it is a computer language used for the creation of databases and manipulation of data. The manipulation, in this case, refers to the addition of data to the created database and manipulation of the same. It also involves its deletion. All these tasks can be done using SQL. SQL is the most popular language used in database-management systems like MySQL, SQL Server, and Oracle. This can be attributed to the fact that SQL comes with a simple syntax that anyone can grasp with much ease.  Why do you need SQL?You can use SQL to create a database within your database-management system. Once the database has been created, you need to create tables within the database so you can use them for storage of your data. This means that tables are the actual data-storage structures in a database. The table is a combination of rows and columns that can be used for data storage. SQL comes with built-in commands you can use to insert data into the tables. Once the data has been added to the table, you can still manipulate it whenever there is a need. You can also delete the data and the various objects you have stored in the database.  This guide covers the following: Creating a database in SQL Server The SQL structure Database administration Structure of the SELECT statement SQL data types Preparation Filters Fourteen SQL subqueries Database components How to manage database objects Database advance topics C ungekürzt. Language: English. Narrator: Christopher Adkins. Audio sample: https://samples.audible.de/bk/acx0/191511/bk_acx0_191511_sample.mp3. Digital audiobook in aax.
    • Shop: Audible
    • Price: 9.95 EUR excl. shipping
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    The aim of this book is to demonstrate that, in a representation-based model, the phonological organization of speech sounds within a word is reducible to the licensing properties of nuclei with respect to structurally defined complexities which pose varying demands on the licenser. It is assumed that the primitive licensing relation is that between a nucleus and its onset (O N). There are two main types of complexities concerning the onset position. Substantive complexity is an important aspect of phonological organisation at the melodic level, while the syllabic configurations in which the onset may be found are referred to under the heading of formal complexity.At the melodic level, complexity is defined in terms of the number of privative primes called elements. The asymmetries in the subsegmental representations of consonants and vowels are shown to play a pivotal role in understanding a number of phenomena, such as typological patterns, markedness effects, phonological processes, segmental inventories, and, what is most important, the model allows us to see a direct connection between phonological representations and processes. For example, the deletion of [g] in Welsh initial mutations is strictly related to the fact that the prime which crucially defines this object also happens to be the target of Soft Mutation.The complexity at the syllabic level is defined in terms of formal onset configurations called governing relations, of which some are easier to license than others. The formal complexity scale is not rerankable, and corresponds directly to the markedness of syllabic types. Since each formal configuration requires licensing from the following nucleus, syllable typology can be directly derived from the licensing strength of nuclei. The interaction between the higher prosodic organisation, for example, the level of the foot, and the syllabic level is also easily expressible in this model because higher prosody is built on nuclei. Therefore, prosody may tamper with the status of nuclei as licensers by deeming some of them as prosodically weaker than others, thus producing a non-rerankable scale of nuclear licensers (a " P). The inclusion of the empty nucleus as a possible licenser allows us to unify the scale of relatively marked contexts in segmental phenomena, and also to account for such problems as extrasyllabicity, complex clusters, super heavy rhymes, and other exceptional strings. The role of nuclei as licensers in unifying various levels of phonological representation from melody to word structure is unquestionable. There are other areas of phonological theory which can be expressed in this model. These include the role of nuclear strength scales in register switches, dialectal variation, historical development, language acquisition, and the interaction between phonology and morphology.
    • Shop: buecher
    • Price: 123.99 EUR excl. shipping
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    Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits. In Data Privacy you will learn how to: Classify data based on privacy risk Build technical tools to catalog and discover data in your systems Share data with technical privacy controls to measure reidentification risk Implement technical privacy architectures to delete data Set up technical capabilities for data export to meet legal requirements like Data Subject Asset Requests (DSAR) Establish a technical privacy review process to help accelerate the legal Privacy Impact Assessment (PIA) Design a Consent Management Platform (CMP) to capture user consent Implement security tooling to help optimize privacy Build a holistic program that will get support and funding from the C-Level and board Data Privacy teaches you to design, develop, and measure the effectiveness of privacy programs. You'll learn from author Nishant Bhajaria, an industry-renowned expert who has overseen privacy at Google, Netflix, and Uber. The terminology and legal requirements of privacy are all explained in clear, jargon-free language. The book's constant awareness of business requirements will help you balance trade-offs, and ensure your user's privacy can be improved without spiraling time and resource costs. About the technology Data privacy is essential for any business. Data breaches, vague policies, and poor communication all erode a user's trust in your applications. You may also face substantial legal consequences for failing to protect user data. Fortunately, there are clear practices and guidelines to keep your data secure and your users happy. About the book Data Privacy: A runbook for engineers teaches you how to navigate the trade-off s between strict data security and real world business needs. In this practical book, you'll learn how to design and implement privacy programs that are easy to scale and automate. There's no bureaucratic process-just workable solutions and smart repurposing of existing security tools to help set and achieve your privacy goals. What's inside Classify data based on privacy risk Set up capabilities for data export that meet legal requirements Establish a review process to accelerate privacy impact assessment Design a consent management platform to capture user consent About the reader For engineers and business leaders looking to deliver better privacy. About the author Nishant Bhajaria leads the Technical Privacy and Strategy teams for Uber. His previous roles include head of privacy engineering at Netflix, and data security and privacy at Google. Table of Contents PART 1 PRIVACY, DATA, AND YOUR BUSINESS 1 Privacy engineering: Why it's needed, how to scale it 2 Understanding data and privacy PART 2 A PROACTIVE PRIVACY PROGRAM: DATA GOVERNANCE 3 Data classification 4 Data inventory 5 Data sharing PART 3 BUILDING TOOLS AND PROCESSES 6 The technical privacy review 7 Data deletion 8 Exporting user data: Data Subject Access Requests PART 4 SECURITY, SCALING, AND STAFFING 9 Building a consent management platform 10 Closing security vulnerabilities 11 Scaling, hiring, and considering regulations
    • Shop: buecher
    • Price: 35.65 EUR excl. shipping
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    Kritische Einwände zur Spurentilgungshypothese - Trace Deletion Hypothese - Kritische Einwände - 1. Auflage: ab 2.99 €
    • Shop: ebook.de
    • Price: 2.99 EUR excl. shipping
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    Linguistic Theories about Agrammatism. The Trace Deletion Hypothesis and the Tree Pruning Hypothesis: ab 2.99 €
    • Shop: ebook.de
    • Price: 2.99 EUR excl. shipping
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    Deletion: ab 1.49 €
    • Shop: ebook.de
    • Price: 1.49 EUR excl. shipping
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    Secure Data Deletion - 1st ed. 2016: ab 128.49 €
    • Shop: ebook.de
    • Price: 128.49 EUR excl. shipping


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