An Adaptive Machine Learning Approach to Knowledge Discovery in Large Datasets

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" An Adaptive Machine Learning Approach to Knowledge Discovery in Large Datasets "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	149305
Doc. No	:	ET21097
Main Entry	:	Kevin Ewert
Title Proper	:	An Adaptive Machine Learning Approach to Knowledge Discovery in Large Datasets
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Large text databases, such as medical records, on-line journals, or the Internet,potentially contain a great wealth of data and knowledge. However, text representation offactual information and knowledge is difficult to process. Analyzing these large textdatabases often rely upon time consuming human resources for data mining. Since atextual format is a very flexible way to describe and store various types of information,large amounts of information are often retained and distributed as text. ب‍The amount ofaccessible textual data has been increasing rapidly. Such data may potentially contain agreat wealth of knowledge. However, analyzing.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL44245.pdf
Title and statement of responsibility and	:	An Adaptive Machine Learning Approach to Knowledge Discovery in Large Datasets [Thesis]