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A survey on machine learning in array databases

APPLIED INTELLIGENCE 2023年第9期53卷 9799-9822页

作者： Villarroya, Sebastian Baumann, Peter Univ Santiago de Compostela Ctr Singular Invest Tecnoloxias Intelixentes CiTI Santiago De Compostela 15782 Spain Jacobs Univ Bremen Bremen Germany Jacobs Univ Bremen Dept Comp Sci & Elect Engn Campus Ring 1 D-28759 Bremen Germany

This paper provides an in-depth survey on the integration of machine learning and array databases. First,machine learning support in modern database management systems is introduced. From straightforward implementations of linear algebra operations in SQL to machine learning capabilities of specialized database managers designed to process specific types of data, a number of different approaches are overviewed. Then, the paper covers the database features already implemented in current machine learning systems. Features such as rewriting, compression, and caching allow users to implement more efficient machine learning applications. The underlying linear algebra computations in some of the most used machine learning algorithms are studied in order to determine which linear algebra operations should be efficiently implemented by array databases. An exhaustive overview of array data and relevant array database managers is also provided. Those database features that have been proven of special importance for efficient execution of machine learning algorithms are analyzed in detail for each relevant array database management system. Finally, current state of array databases capabilities for machine learning implementation is shown through two example implementations in Rasdaman and SciDB.

关键词： array data array database managers Machine learning Efficient array machine learning

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On the Integration of Machine Learning and array databases 36

On the Integration of Machine Learning and Array Databases

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IEEE 36th International Conference on Data Engineering (ICDE)

作者： Villarroya, Sebastian Baumann, Peter Jacobs Univ Bremen Comp Sci & Elect Engn Bremen Germany

ISBN: (纸本)9781728129037

Machine Learning is increasingly being applied to many different application domains. From cancer detection to weather forecast, a large number of different applications leverage machine learning algorithms to get faster and more accurate results over huge datasets. Although many of these datasets are mainly composed of array data, a vast majority of machine learning applications do not use array databases. This tutorial focuses on the integration of machine learning algorithms and array databases. By implementing machine learning algorithms in array databases users can boost the native efficient array data processing with machine learning methods to perform accurate and fast array data analytics.

关键词： array data array database managers machine learning efficient array machine learning

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