Evaluation of contrast mining techniques for feature selection in classification
The last two decades there is a huge increase in the amount of data that is stored in digital format. Owing to today's technology data collection ceases to be a problem and in the focus of interest is their analysis and obtaining valuable information from the data (knowledge). Central for this issue is the process of knowledge discovery in data. The process consists of seve…
Mitwirkende
- Kliček, Božidar
- Mladenić, Dunja
Urheber
- Oreški, Dijana
Herausgeber
- University of Zagreb. Faculty of Organization and Informatics Varaždin.
Betreff
- SOCIAL SCIENCES. Information and Communication Sciences. Information Systems and Information Science.
- Computer science and technology. Computing. Data processing
- data mining
- feature selection
- contrast mining
- classification
- data set characteristis
Art des Objekts
- info:eu-repo/semantics/doctoralThesis
- text
Datum
- 2014-02-06
- 2014-02-06
Mitwirkende
- Kliček, Božidar
- Mladenić, Dunja
Urheber
- Oreški, Dijana
Herausgeber
- University of Zagreb. Faculty of Organization and Informatics Varaždin.
Betreff
- SOCIAL SCIENCES. Information and Communication Sciences. Information Systems and Information Science.
- Computer science and technology. Computing. Data processing
- data mining
- feature selection
- contrast mining
- classification
- data set characteristis
Art des Objekts
- info:eu-repo/semantics/doctoralThesis
- text
Datum
- 2014-02-06
- 2014-02-06
Aggregator
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- http://rightsstatements.org/vocab/InC/1.0/
Kennung
- https://dr.nsk.hr/islandora/object/foi:737
- https://urn.nsk.hr/urn:nbn:hr:211:337330
- https://repozitorij.unizg.hr/islandora/object/foi:737
- https://dr.nsk.hr/islandora/object/foi%3A737/datastream/TN/view/
Format
- application/pdf
Sprache
- hrv
Bereitstellendes Land
- Croatia
Name der Sammlung
Erstmals auf Europeana veröffentlicht
- 2019-04-05T13:44:06.665Z
Zuletzt aktualisiert vom Datenpartner
- 2019-04-05T13:44:06.665Z