Discovering Patterns in Order to Detect Weak Signals and Define New Strategies
Anass El Haddadi, Bernard Dousset, Ilham Berrada · IGI Global eBooks · 2011
Competitive intelligence activities rely on collecting and analyzing data in order to discover patterns from data using sequence data mining. The discovered patterns are used to help decision-makers considering innovation and defining the strategy for their business. In this chapter we present four methods for discovering patterns in the competitive intelligence process: “correspondence analysis,” “multiple correspondence analysis,” “evolutionary graph,” and “multi-term method.”