id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_ahibudfxqrgz5odyehpyedlc6u	Carlos León	Integrated expert system applied to the analysis of non-technical losses in power utilities	2011	13	.pdf	application/pdf	8407	734	53	paper, an integrated expert system (IES) for the analysis and classification of all the available useful information of the customer is presented. This IES include several modules: text mining module for analysis of inspector commentaries and extraction of additional information on the customer, data mining module to draw up the rules that determine the customer estimate consumption, and the Rule Based Expert System module to analyze data mining module to set up rules to check if the customer consumption is normal, and the Rule Based Expert System (RBES), features for NTL detection, like consumption data, economic activity, active/reactive rate, and contracted power. The proposed IES employs several techniques to detect and classify customer abnormalities related with frauds and other anomalies (NTLs). an in depth treatment of all the prior information analysis processes for application of data mining techniques. – The text mining technique comprises knowledge of the customers' facilities provided by Endesa's inspectors.	./cache/work_ahibudfxqrgz5odyehpyedlc6u.pdf	./txt/work_ahibudfxqrgz5odyehpyedlc6u.txt