Different vectors generation techniques with distributed features for text classification using KNN

Autor:	T. Adilakshmi, Mohammed Abdul Wajeed
Rok vydání:	2012
Předmět:	ComputingMethodologies_PATTERNRECOGNITION Basis (linear algebra) Computer science business.industry Normalization (image processing) Process (computing) Library classification Confusion matrix Pattern recognition Artificial intelligence business k-nearest neighbors algorithm
Zdroj:	RAIT
Popis:	On daily basis abundant amount of data is generated and is growing exponentially. Much work is focused in classify the structured data so as to make efficient retrieval. But not much work is focused in classifying the textual data. The present paper attempts in classifying the textual data. In the process of classification the effects of the features distributed across the document is explored. KNN algorithm is employed and the results obtained are encouraging.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::711405302f6e7d62315e81345d06f0d5 https://doi.org/10.1109/rait.2012.6194626 Zobrazit plný text záznamu