COMPARING MACHINE LEARNING AND HAND-CRAFTED APPROACHES FOR INFORMATION EXTRACTION FROM HTML DOCUMENTS.POMPES PAR TRANSITIONS MULTIPLES

منو

" COMPARING MACHINE LEARNING AND HAND-CRAFTED APPROACHES FOR INFORMATION EXTRACTION FROM HTML DOCUMENTS.POMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	153430
Doc. No	:	ET25222
Main Entry	:	RON SINGER
Title Proper	:	COMPARING MACHINE LEARNING AND HAND-CRAFTED APPROACHES FOR INFORMATION EXTRACTION FROM HTML DOCUMENTS.POMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	The problem of automatically extracting information from web pages is becomingvery important, due to the explosion of information available on the World WideWeb. In this thesis, we explore and compare hand-crafted information extractiontools with tools constructed using machine learning algorithms. The task we consider.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL49463.pdf
Title and statement of responsibility and	:	COMPARING MACHINE LEARNING AND HAND-CRAFTED APPROACHES FOR INFORMATION EXTRACTION FROM HTML DOCUMENTS.POMPES PAR TRANSITIONS MULTIPLES [Thesis]