Scientific Data Analysis using NEO4J

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Details

There is new material regarding neo4j algorithm questions posed in this report as well as where we did our due diligence research to resolve them. These results often provide detail included enquiries, which were recorded at the conclusion of the monitoring period. Initially, a literature review supported the development of an initial data modeling, which was further provided as experimental analysis. By using NEO4J Graph Database, graph analytics can provide useful analysis.

Autorentext

Victor Chang é Professor e cientista líder mundial em Ciência de Dados, IA e Segurança. Está no topo dos 2% de cientistas e é um Investigador Altamente Citado 2021. Yeshwanth Kumar Songala completou MSc em Informática sob a orientação do Prof. Chang.Qianwen Ariel Xu é Assistente de Investigação e candidato a PhD sob a orientação do Prof. Chang.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783330013933
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 52
    • Genre IT Encyclopedias
    • Gewicht 96g
    • Untertitel DE
    • Größe H220mm x B150mm x T4mm
    • Jahr 2022
    • EAN 9783330013933
    • Format Kartonierter Einband (Kt)
    • ISBN 3330013931
    • Veröffentlichung 26.04.2022
    • Titel Scientific Data Analysis using NEO4J
    • Autor Victor Chang , Yeshwanth Kumar Songala , Qianwen Ariel Xu
    • Sprache Englisch

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