Data Mining in Fare Collection Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F16%3A00310131" target="_blank" >RIV/68407700:21260/16:00310131 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/7501040/" target="_blank" >http://ieeexplore.ieee.org/document/7501040/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP.2016.7501040" target="_blank" >10.1109/SCSP.2016.7501040</a>
Alternative languages
Result language
angličtina
Original language name
Data Mining in Fare Collection Systems
Original language description
This article deals with the use of data mining within the area of exploratory data analysis in fare collection systems. It describes the fare collection system and its model defined for the needs of making exploratory data analysis. The model contains inputs and outputs, internal functions and random impacts. The exploratory data analysis has been carried out both in spreadsheet and through the data mining system LISp-Miner. The conclusion of the paper outlines the possibilities of further extension and use of the GUHA procedure in the LISp-Miner system.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2016 Smart Cities Symposium Prague (SCSP)
ISBN
9781509011162
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
IEEE
Place of publication
New York
Event location
Praha
Event date
May 26, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000390205300030