Titlebook: Integrity Constraints on Rich Data Types; Shaoxu Song,Lei Chen Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive

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2153-5418 cies based on expressive power and discovery cost.IdentifiesThis book examines the recent trend of extending data dependencies to adapt to rich data types in order to address variety and veracity issues in big data. Readers will be guided through the full range of rich data types where data dependen

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Book 2023data. Readers will be guided through the full range of rich data types where data dependencies have been successfully applied, including categorical data with equality relationships, heterogeneous data with similarity relationships, numerical data with order relationships, sequential data with times

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Introduction,ce-Codd normal form (BCNF)?[43]. FDs are extended to . (MVDs)?[13], i.e., every FD is also an MVD, in order to test whether a relation is in fourth normal form (4NF)?[55]. Such data dependencies are also used in database query optimization?[53, 86].

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Categorical Data, dependencies may not exactly hold. As indicated in [51, 139], the variety issue leads to constraints that may apply only to certain subsets of data. In this chapter, we introduce the extensions of data dependencies that are still based on equality relationships.

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https://doi.org/10.1007/978-3-031-27177-9Data Dependencies; Ordered Data; Temporal Data; Graph Data; Function Dependencies

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978-3-031-27179-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl