Graph machine learning : (Record no. 7750)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02091nam a2200217 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220228b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781800204492 (pbk.) |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | STA |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Stamile, Claudio. |
| 245 ## - TITLE STATEMENT | |
| Title | Graph machine learning : |
| Remainder of title | take graph data to the next level by applying machine learning techniques and algorithms |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | Birmingham |
| Name of publisher, distributor, etc. | Packt Publishing Ltd. |
| Date of publication, distribution, etc. | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xi, 319p., |
| 500 ## - GENERAL NOTE | |
| General note | https://www.packtpub.com/product/graph-machine-learning/9781800204492 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer science |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Graph theory - Data processing |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Deusebio, Enrico. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Marzullo, Aldo. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 400 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 481 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 756 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 757 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 758 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | bill no. | bill date | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Total Renewals | Full call number | Barcode | Date last seen | Date checked out | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Computer science | 511/21-22 | 15/02/2022 | Plaksha University Library | Plaksha University Library | 28/02/2022 | T V Enterprises | 3558.76 | 4 | 3 | 006.31 STA | 002804 | 19/02/2024 | 06/09/2023 | Book | ||||
| Dewey Decimal Classification | Computer science | 511/21-22 | 15/02/2022 | Plaksha University Library | Plaksha University Library | 28/02/2022 | T V Enterprises | 3558.76 | 3 | 1 | 006.31 STA | 002805 | 19/01/2024 | 21/12/2023 | Book |