Free shipping on all orders over $79* Limited Time Only
Track My Order
Help Centre
Likes
My Wish ListsLogin / Join
Booktopia
Australia's local bookstore
Get Free Shipping on orders over $79
Graph Data Mining : Algorithm, Security and Application - Author

Graph Data Mining

Algorithm, Security and Application

By: Author

eText | 15 July 2021

At a Glance

eText

$269.01

or 4 interest-free payments of $67.25 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world applications in fields such as bioinformatics, traffic network, scientific collaboration, world wide web and social networks. Graph data mining is used to discover useful information and knowledge from graph data. The complications of nodes, links and the semi-structure form present challenges in terms of the computation tasks, e.g., node classification, link prediction, and graph classification. In this context, various advanced techniques, including graph embedding and graph neural networks, have recently been proposed to improve the performance of graph data mining.

This book provides a state-of-the-art review of graph data mining methods. It addresses a current hot topic - the security of graph data mining - and proposes a series of detection methods to identify adversarial samples in graph data. In addition, it introduces readers to graph augmentation and subgraph networks to further enhance the models, i.e., improve their accuracy and robustness. Lastly, the book describes the applications of these advanced techniques in various scenarios, such as traffic networks, social and technical networks, and blockchains.

on
Desktop
Tablet
Mobile

You Can Find This eBook In

Non-FictionComputing & I.T.DatabasesData MiningComputer Networking & CommunicationsNetwork SecurityComputer ScienceArtificial IntelligenceMachine LearningComputer Programming & Software DevelopmentAlgorithms & Data StructuresComputer Security
Data EncryptionMathematicsProbability & StatisticsExpert Systems & Knowledge-Based Systems

More in Data Mining

Investing for Programmers - Stefan Papp

eBOOK

Investing for Programmers

eBook

$44.99

Conquering the Decision Abyss - Keith Hartley

eBOOK

Conquering the Decision Abyss

eBook

RRP $15.39

$14.99

Data Engineering for Data-Driven Marketing - Balamurugan Baluswamy

eBOOK

Data Engineering for Data-Driven Marketing

eBook

RRP $186.40

$158.99

15%
OFF
Big Data Analytics - Nitin Kumar Yadav

eBOOK

Big Data Analytics

eBook

$2.99

This product is categorised by