Prípadové štúdie v dolovaní údajov

E-book

Erik BruothJuraj ŠebejĽubomír Antoni

In these university-level textbooks, we present the fundamental concepts of networks and graph theory. We explore breadth-first and depth-first graph searching. We present static and dynamic network models. We describe the issue of detecting overlapping and non-overlapping communities in directed and undirected networks. Various approaches to anomaly detection in networks also form an important part of this textbook. The final chapter is dedicated to spectral clustering, which plays a significant role in data mining in network graphs for various application domains.

These textbooks are suitable for first and second-year university students in computer science programs. The study materials are also suitable for students in non-computer science fields, with the aim of improving their knowledge and practical experience in computer science-related areas, and provide an opportunity for students to find employment in IT companies to solve practical tasks.

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Quantity

978-80-8152-914-6

Data sheet

Method of publication:
E-book (pdf)
Authors:
Erik Bruoth - Juraj Šebej - Ľubomír Antoni
Document type:
Academic textbook - scripts
Number of pages:
62
Available from:
20.10.2020
Year of publication:
2020
Edition:
1st edition
Publication language:
Slovak
Faculty:
Prírodovedecká fakulta
Note:
Tento projekt sa realizuje vďaka podpore z Európskeho sociálneho fondu v rámci Operačného programu Ľudské zdroje. Spracované s finančnou podporou národného projektu IT Akadémia – vzdelávanie pre 21. storočie
License:
CC BY (Uveďte autora)
- Free for download

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