UID:
almahu_9949598798302882
Format:
1 online resource
ISBN:
9781000996593
,
100099659X
,
9781003183532
,
1003183530
,
9781000996630
,
1000996638
Content:
"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"--
Note:
〈P〉〈STRONG〉From Relational to NoSQL Databases -- Comparison and Popularity. Graph Databases and the Neo4j Use Cases〈/STRONG〉〈/P〉〈I〉〈P〉Dimitrios Rousidis,〈/I〉 and〈I〉 Paraskevas Koukaras〈/P〉〈/I〉〈B〉〈P〉A Comparative Survey of Graph Databases and Software for Social Network Analytics: The Link Prediction Perspective〈/P〉〈/B〉〈I〉〈P〉Nikos Kanakaris, Dimitrios Michail, 〈/I〉and 〈I〉Iraklis Varlamis〈/P〉〈/I〉〈B〉〈P〉A Survey on Neo4j Use Cases in Social Media: Exposing New Capabilities for Knowledge Extraction〈/P〉〈/B〉〈I〉〈P〉Paraskevas Koukaras〈/P〉〈/I〉〈B〉〈P〉Combining and Working with Multiple Social Networks on a Single Graph〈/P〉〈/B〉〈I〉〈P〉Ahmet Anil MÜNGEN〈/P〉〈/I〉〈B〉〈P〉Child Influencers on YouTube: From Collection to Overlapping Community Detection〈/P〉〈/B〉〈I〉〈P〉Maximilian Paul Kißgen, Joachim Allgaier, 〈/I〉and〈I〉 Ralf Klamma〈/P〉〈/I〉〈B〉〈P〉Managing Smart City Linked Data with Graph Databases: An Integrative Literature Review〈/P〉〈/B〉〈I〉〈P〉Anestis Kousis〈/P〉〈/I〉〈B〉〈P〉Graph Databases in Smart City Applications -- Using Neo4j and Machine Learning for Energy Load Forecasting〈/P〉〈/B〉〈I〉〈P〉Aristeidis Mystakidis〈/P〉〈/I〉〈B〉〈P〉A Graph-Based Data Model for Digital Health Applications〈/P〉〈/B〉〈I〉〈P〉Jero Schäfer 〈/I〉and 〈I〉Lena Wiese〈/P〉〈/I〉
Additional Edition:
Print version: ISBN 9781032024783
Additional Edition:
ISBN 103202478X
Language:
English
DOI:
10.1201/9781003183532
URL:
https://www.taylorfrancis.com/books/9781003183532
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