Další formáty:
BibTeX
LaTeX
RIS
@inproceedings{1359885,
author = {Vaculík, Karel},
address = {Bratislava},
booktitle = {Proceedings in Informatics and Information Technologies. Bratislava: WIKT & DaZ},
editor = {Mária Bieliková, Ivan Srba},
keywords = {graph mining; network analysis; data mining; classification; anomaly detection; community detection; recommendation},
howpublished = {tištěná verze "print"},
language = {cze},
location = {Bratislava},
isbn = {978-80-227-4619-9},
pages = {31-34},
publisher = {Nakladatel’stvo STU},
title = {Graph Mining: Applications (invited talk)},
year = {2016}
}
TY - JOUR
ID - 1359885
AU - Vaculík, Karel
PY - 2016
TI - Graph Mining: Applications (invited talk)
PB - Nakladatel’stvo STU
CY - Bratislava
SN - 9788022746199
KW - graph mining
KW - network analysis
KW - data mining
KW - classification
KW - anomaly detection
KW - community detection
KW - recommendation
N2 - Traditional data mining algorithms typically assume data instances to be independent. However, there is a lot of real-world scenarios where relationships between data instances exist and they are principal for data understanding. For example, there are relationships between people in social networks, between chemical elements in chemical compounds, etc. It is difficult or even impossible to express such information in the classical attribute-value representation. Graph mining is an area of data mining that uses a graph representation of data and it allows us to exploit the relationships in the data. The goal of this talk is to present diverse successful applications of graph mining on real-world graphs.
ER -
VACULÍK, Karel. Graph Mining: Applications (invited talk). In Mária Bieliková, Ivan Srba. \textit{Proceedings in Informatics and Information Technologies. Bratislava: WIKT \&{} DaZ}. Bratislava: Nakladatel’stvo STU, 2016, s.~31-34. ISBN~978-80-227-4619-9.
|
