DocumentCode
492929
Title
New module of text classification for IDA system
Author
Shatovska, Tetyana ; Kamenieva, Iryna ; Tarasov, Iurii
Author_Institution
Kharkov Nat. Univ. of Radioelectron., Kharkov, Ukraine
fYear
2009
fDate
24-28 Feb. 2009
Firstpage
481
Lastpage
482
Abstract
In this article we are comparing Data Mining and Machine learning directions in text classification for IDA system. We will compare two high algorithms Chameleon from Data Mining and SVM (Support vector Machine) from Machine learning. Thus, define the best algorithm for text classification and decide to possibility inclusion SVM and using Chameleon for text classification in IDA system.
Keywords
data mining; learning (artificial intelligence); pattern classification; support vector machines; data mining; machine learning; support vector machine; text classification; Classification tree analysis; Clustering algorithms; Data mining; Machine learning; Machine learning algorithms; Partitioning algorithms; Support vector machine classification; Support vector machines; Text categorization; Unsupervised learning; Chameleon; Data Mining; IDA system; Machine Learning; SVM; Text classification;
fLanguage
English
Publisher
ieee
Conference_Titel
CAD Systems in Microelectronics, 2009. CADSM 2009. 10th International Conference - The Experience of Designing and Application of
Conference_Location
Lviv-Polyana
Print_ISBN
978-966-2191-05-9
Type
conf
Filename
4839886
Link To Document