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عنوان
Graph databases

پدید آورنده
/ editor Christos Tjortjis.

موضوع
Graph databases.,Database management.,Graph theory,Data processing.

رده

کتابخانه
Library of College of Science University of Tehran

محل استقرار
استان: Tehran ـ شهر: Tehran

Library of College of Science University of Tehran

تماس با کتابخانه : 61112616-66495290-021

INTERNATIONAL STANDARD BOOK NUMBER

Qualification
(eISBN)
(Number (ISBN
9781032024783

NATIONAL BIBLIOGRAPHY NUMBER

Number
E4602

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Graph databases
General Material Designation
[electronic resources: book]
Other Title Information
: applications on social media analytics and smart cities
First Statement of Responsibility
/ editor Christos Tjortjis.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Boca Raton :
Name of Publisher, Distributor, etc.
CRC Press,
Date of Publication, Distribution, etc.
2024

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource.

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

CONTENTS NOTE

Text of Note
From relational to NoSQL databases : comparison and popularity graph databases and the Neo4j use cases / Dimitrios Rousidis and Paraskevas Koukaras -- A comparative survey of graph databases and software for social network analytics : the link prediction perspective / Nikos Kanakaris, Dimitrios Michail and Iraklis Varlamis -- A survey on Neo4j use cases in social media : exposing new capabilities for knowledge extraction / Paraskevas Koukaras -- Combining and working with multiple social networks on a single graph / Ahmet Anil Mungen -- Child influencers on YouTube : from collection to overlapping community detection / Maximilian Kissgen, Joachim Allgaier and Ralf Klamma -- Managing smart city linked data with graph databases: an integrative literature review / Anestis Kousis -- Graph databases in smart city applications : using Neo4j and machine learning for energy load forecasting / Aristeidis Mystakidis -- A graph-based data model for digital health applications / Jero Schafer and Lena Wiese.
0

SUMMARY OR ABSTRACT

Text of Note
"Cut the Gordian Knot of the Social Media Data chaos with the power of Graph Databases. Learn how to combine and migrate data from multiple sources to Neo4j. Hands-on examples with COVID-19 uses cases and social media data that will help you to learn how to crawl and mine them, how to load data them and how to migrate data from relational databases to graph databases, and finally how to utilize the tools of Neo4j to make predictions"--

TYPE OF ELECTRONIC RESOURCE NOTE

Text of Note
PDF file.

TOPICAL NAME USED AS SUBJECT

Entry Element
Graph databases.
Entry Element
Database management.
Entry Element
Graph theory
Topical Subdivision
Data processing.

PERSONAL NAME - SECONDARY RESPONSIBILITY

Entry Element
Tjortjis, Christos,
Relator Code
Editor

ORIGINATING SOURCE

Country
Iran
Agency
University of Tehran. Library of College of Science
Date of Transaction
20250211082215.0
Cataloguing Rules (Descriptive Conventions))
rda

ELECTRONIC LOCATION AND ACCESS

Date and Hour of Consultation and Access
UT_SC_BL_DB_1005002_0001.pdf

e

BL
278840
1

a
Y

Proposal/Bug Report

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