Scientific Data Analysis using NEO4J
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Scientific Data Analysis using NEO4J

by Victor Chang, Yeshwanth Kumar Songala, Qianwen Ariel Xu

Computer Science analytics Data Science
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Scientific Data Analysis using NEO4J examines how Neo4j can support the organization and analysis of scientific data. Written by Victor Chang, Yeshwanth Kumar Songala, and Qianwen Ariel Xu, this book is suited to readers exploring graph-based data methods and their role in scientific information analysis.

ISBN-13 9783330013933 ASIN 3330013931 Views 70 Publisher LAP LAMBERT Academic Publishing Year 2022 Format Paperback Product Group Book Pages 52 Adult No Created June 12, 2026 Updated October 16, 2026
About This Book

Scientific Data Analysis using NEO4J introduces the use of Neo4j in the context of scientific data analysis.

The book centers on working with connected data and examining relationships within scientific information.

It is relevant to readers interested in graph-based approaches, data analysis, and the application of database technologies to scientific contexts.

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I will be using this book for: