| 000 -LEADER |
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| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220322b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781032112039 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.312 |
| Item number |
KAM |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kaminski, Bogumit |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Mining complex networks |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc |
Chapman and Hall/ CRC Press |
| Date of publication, distribution, etc |
2022 |
| Place of publication, distribution, etc |
Boca Raton : |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiii, 263 p. ; |
| Other physical details |
ill., |
| Dimensions |
24 cm |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
74.99 |
| Price type code |
GBP |
| Unit of pricing |
105.90 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
This book concentrates on mining networks, a subfield within data science. Data science uses scientific and computational tools to extract valuable knowledge from large data sets. Once data is processed and cleaned, it is analyzed and presented to support decision making processes. Data science and machine learning tools have become widely used in companies of all sizes. Networks are often large-scale, decentralized, and evolve dynamically over time. Mining complex networks to understand the principles governing the organization and the behaviour of such networks is crucial for a broad range of fields of study. Here are a few selected typical applications of mining networks: Community detection (which users on some social media platform are close friends), Link prediction (who is likely to connect to whom on such platforms), Node attribute prediction (what advertisement should be shown to a given user of a particular platform to match their interests), Influential node detection (which social media users would be the best ambassadors of a specific product). This textbook is suitable for an upper-year undergraduate course or a graduate course in programs such as data science, mathematics, computer science, business, engineering, physics, statistics, and social science. This book can be successfully used by all enthusiasts of data science at various levels of sophistication to expand their knowledge or consider changing their career path. Jupiter notebooks (in Python and Julia) accompany the book and can be accessed on https://www.ryerson.ca/mining-complex-networks/. These not only contain all of the experiments presented in the book yet also include additional material. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Data mining |
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| Topical term or geographic name as entry element |
Online social networks |
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| Topical term or geographic name as entry element |
Data processing |
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| Topical term or geographic name as entry element |
Assortativity |
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| Topical term or geographic name as entry element |
Benchmark |
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| Topical term or geographic name as entry element |
Clustering |
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| Topical term or geographic name as entry element |
Eigenvalue |
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| Topical term or geographic name as entry element |
Graph G |
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| Topical term or geographic name as entry element |
Hypergraph |
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| Topical term or geographic name as entry element |
Modularity |
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| Topical term or geographic name as entry element |
Partition |
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| Topical term or geographic name as entry element |
Probability |
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| Topical term or geographic name as entry element |
Random graph |
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| Topical term or geographic name as entry element |
Data Science |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Prałat, Paweł |
|
|---|
| Personal name |
Theberge, Francois |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |