A genetic algorithm for discriminative graph pattern mining

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F19%3A00110952" target="_blank" >RIV/00216224:14330/19:00110952 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3331076.3331113" target="_blank" >http://dx.doi.org/10.1145/3331076.3331113</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3331076.3331113" target="_blank" >10.1145/3331076.3331113</a>

Result language
angličtina
Original language name
A genetic algorithm for discriminative graph pattern mining
Original language description
Real-world networks typically evolve through time, which means there are various events occurring, such as edge additions or at- tribute changes. We propose a new algorithm for mining discriminative patterns of events in such dynamic graphs. This is dierent from other approaches, which typically discriminate whole static graphs while we focus on subgraphs that represent local events. Three tools have been employed The algorithm uses random walks and a nested genetic algo- rithm to nd the patterns through inexact matching. Furthermore, it does not require the time to be discretized as other algorithms commonly do. We have evaluated the algorithm on real-world graph data like DBLP and Enron. We show that the method outperforms baseline algorithm for all data sets and that the increase of accuracy is quite high, between 2.5for NIPS vs. KDD from DBLP dataset and 30% for Enron dataset. We also discus possible extensions of the algorithm.
Czech name
—
Czech description
—

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 23rd International Database Applications & Engineering Symposium, IDEAS 2019, Athens, Greece
ISBN
9781450362498
ISSN
—
e-ISSN
—
Number of pages
2
Pages from-to
461-462
Publisher name
ACM
Place of publication
New York
Event location
Athens
Event date
Jan 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)