Spotlighting Anomalies using Frequent Patterns
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F18%3A00051834" target="_blank" >RIV/61384399:31140/18:00051834 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/18:00313846
Result on the web
<a href="http://proceedings.mlr.press/v71/kuchar18a/kuchar18a.pdf" target="_blank" >http://proceedings.mlr.press/v71/kuchar18a/kuchar18a.pdf</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Spotlighting Anomalies using Frequent Patterns
Original language description
Main topics of the document: data mining; anomaly; frequent pattern
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
KDD 2017 Workshop on Anomaly Detection in Finance
ISBN
—
ISSN
1938-7228
e-ISSN
—
Number of pages
10
Pages from-to
33-42
Publisher name
PMLR
Place of publication
Halifax
Event location
Halifax
Event date
Aug 14, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—