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Design Principles and Patterns for Big Data Applications
Louise Reader
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The novel methods and technologies proposed in Hypothesis Generation and Interpretation are supported by the incorporation of historical perspectives on science and an emphasis on the origin and development of the ideas behind their design principles and patterns.
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He has published actively in international, refereed journals and conferences, such as ACM Transactions on Database Systems, IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal, IEEE International Conference on Data Engineering, and ACM SIGSPATIAL and Management of Emergent Digital EcoSystems (MEDES). He has authored and co-authored a dozen books, including Social Big Data Mining (CRC, 2015) and Object-Oriented Database System (Springer-Verlag, 1993).
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