1. bookTom 9 (2019): Zeszyt 1 (June 2019)
Informacje o czasopiśmie
License
Format
Czasopismo
eISSN
2067-354X
Pierwsze wydanie
30 Jul 2019
Częstotliwość wydawania
2 razy w roku
Języki
Angielski
Otwarty dostęp

DBSCAN Algorithm for Document Clustering

Data publikacji: 20 Mar 2020
Tom & Zeszyt: Tom 9 (2019) - Zeszyt 1 (June 2019)
Zakres stron: 58 - 66
Informacje o czasopiśmie
License
Format
Czasopismo
eISSN
2067-354X
Pierwsze wydanie
30 Jul 2019
Częstotliwość wydawania
2 razy w roku
Języki
Angielski

[1] S. Chakrabarti, Mining the Web- Discovering Knowledge from Hypertext Data, Morgan Kaufmann Press, 2003;Search in Google Scholar

[2] Cretulescu, R., Morariu,D. Text Mining. Tehnici de clasificare si clustering al documentelor, Published at Editura Albastra, Cluj Napoca, 2012, ISBN 978-973-650-289-7Search in Google Scholar

[3] Radu Cretulescu, Daniel Morariu, Macarie Breazu - Using WEKA framework in document classification, Int. Journal of Advanced Statistics and IT&C for Economics and Life Sciences, Vol 6, No 2, ISSN 2067-354X, 2016Search in Google Scholar

[4] Han, J., Kamber, M., Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers, 2001;Search in Google Scholar

[5] Mitchell T. Machine Learning, McGraw Hill Publishers, 1997.Search in Google Scholar

[6] Mitkov R., The Oxford Handbook of Computational Linguistics, Oxford University Press, 2005;Search in Google Scholar

[7] Daniel Morariu, Radu Cretulescu, Macarie Breazu - The WEKA Multilayer Perceptron Classifier, Int. Journal of Advanced Statistics and IT&C for Economics and Life Sciences, Vol 7, No 1, ISSN 2067-354X, 2017Search in Google Scholar

[8] Reuters Corpus: http://about.reuters.com/researchandstandards/corpus/. Released in November 2000Search in Google Scholar

[9] WEKA package - http://www.cs.waikato.ac.nz/ml/weka/index.html (accessed March 2015)Search in Google Scholar

Polecane artykuły z Trend MD