id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_4iiwswkqhnbwvipp45zsv6kbka	Dirk Thorleuchter	Weak signal identification with semantic web mining	2013	26	.pdf	application/pdf	9353	759	56	provided that uses latent semantic indexing (LSI) for the identification of weak signals. identifies and analyses weak signals to predict trends in the field of on-site medical oxygen organizations to identify weak signals from the internet for a given hypothesis. Key Words: Weak Signal, Ansoff, Latent semantic indexing, SVD, Web Mining. document contains a textual pattern that represents a weak signal (Uskali, 2005). text access to information in the internet is necessary to identify these weak signals. might be that two textual patterns representing weak signals are related to a specific topic The weak signals are identified based on the topic described in this hypothesis. semantic textual patterns representing weak signals from the internet. Our proposed weak signal maximization approach identifies the value of k where the number of weak signals represented by low frequently occurred semantic textual patterns with a The second weak signal based on a small number of impacted documents (2.3%) and it 	./cache/work_4iiwswkqhnbwvipp45zsv6kbka.pdf	./txt/work_4iiwswkqhnbwvipp45zsv6kbka.txt