Normal view MARC view ISBD view

Proceedings of the First International Conference on Data Engineering and Machine Intelligence [electronic resource] : ICDEMI 2023 / edited by S. Rakesh Kumar, Seifedine Kadry, N. Gayathri, Pethuru Raj Chelliah.

Contributor(s):

Material type:

TextSeries: Lecture Notes in Electrical Engineering ; 1261Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XII, 443 p. 230 illus., 205 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789819776160

Subject(s):

-- Data processing

Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:

Q342

Online resources:

Resursa online

In: Springer Nature eBookSummary: This volume constitutes peer-reviewed proceedings of the First International Conference on Data Engineering and Machine Intelligence, ICDEMI 2023. The research problems about data engineering and machine learning are covered in this book. The proceedings cover recent contributions and novel developments from researchers across industry and academia in data science, data engineering, artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems from technological and social perspectives. This book will serve as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners. .

Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

No physical items for this record

This volume constitutes peer-reviewed proceedings of the First International Conference on Data Engineering and Machine Intelligence, ICDEMI 2023. The research problems about data engineering and machine learning are covered in this book. The proceedings cover recent contributions and novel developments from researchers across industry and academia in data science, data engineering, artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems from technological and social perspectives. This book will serve as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners. .

There are no comments on this title.

to post a comment.