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Graph machine learning : take graph data to the next level by applying machine learning techniques and algorithms /
"Graph Machine Learning provides a new set of tools for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks. You will start with a brief introduction to graph theory and graph machine learning, understa...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing Ltd.,
2021.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | OR_on1257076510 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 210619s2021 enk o 000 0 eng d | ||
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| 015 | |a GBC193048 |2 bnb | ||
| 016 | 7 | |a 020220535 |2 Uk | |
| 020 | |a 1800206755 |q (electronic bk.) | ||
| 020 | |a 9781800206755 |q (electronic bk.) | ||
| 020 | |z 9781800204492 |q (pbk.) | ||
| 029 | 1 | |a UKMGB |b 020220535 | |
| 035 | |a (OCoLC)1257076510 | ||
| 037 | |a 9781800206755 |b Packt Publishing Pvt. Ltd | ||
| 037 | |a 10162850 |b IEEE | ||
| 050 | 4 | |a Q325.5 | |
| 082 | 0 | 4 | |a 006.31 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Stamile, Claudio, |e author. | |
| 245 | 1 | 0 | |a Graph machine learning : |b take graph data to the next level by applying machine learning techniques and algorithms / |c Claudio Stamile, Aldo Marzullo, Enrico Deusebio. |
| 260 | |a Birmingham : |b Packt Publishing Ltd., |c 2021. | ||
| 300 | |a 1 online resource (338 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Description based upon print version of record. | |
| 505 | 0 | |a Getting Started with Graphs -- Graph Machine Learning -- Machine Learning on Graphs -- Unsupervised Graph Learning -- Supervised Graph Learning -- Problems with Machine Learning on Graphs -- Social Network Graphs -- Text Analytics and Natural Language Processing Using Graphs -- Graph Analysis for Credit Card Transactions -- Building a Data-Driven Graph-Powered Application -- Novel Trends on Graphs. | |
| 520 | |a "Graph Machine Learning provides a new set of tools for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks. You will start with a brief introduction to graph theory and graph machine learning, understanding their potential. As you proceed, you will become well versed with the main machine learning models for graph representation learning: their purpose, how they work, and how they can be implemented in a wide range of supervised and unsupervised learning applications. You'll then build a complete machine learning pipeline, including data processing, model training, and prediction in order to exploit the full potential of graph data. Moving ahead, you will cover real-world scenarios such as extracting data from social networks, text analytics, and natural language processing (NLP) using graphs and financial transaction systems on graphs. Finally, you will learn how to build and scale out data-driven applications for graph analytics to store, query, and process network information, before progressing to explore the latest trends on graphs. By the end of this machine learning book, you will have learned essential concepts of graph theory and all the algorithms and techniques used to build successful machine learning applications."--Description provided by publisher. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Graph theory |x Data processing. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a Graph theory |x Data processing. |2 fast |0 (OCoLC)fst00946587 | |
| 650 | 7 | |a Machine learning. |2 fast |0 (OCoLC)fst01004795 | |
| 700 | 1 | |a Marzullo, Aldo, |e author. | |
| 700 | 1 | |a Deusebio, Enrico, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Stamile, Claudio |t Graph Machine Learning |d Birmingham : Packt Publishing, Limited,c2021 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781800204492/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL6640531 | ||
| 938 | |a EBSCOhost |b EBSC |n 2939967 | ||
| 994 | |a 92 |b IZTAP | ||