Review on adopting concept extraction in weak signals detection in competitive intelligence

2012 ◽

pp. 195-211 ◽

Cited By ~ 1

Author(s):

Anass El Haddadi ◽

Bernard Dousset ◽

Ilham Berrada

Keyword(s):

Data Mining ◽

Correspondence Analysis ◽

Sequence Data ◽

Multiple Correspondence Analysis ◽

Decision Makers ◽

Competitive Intelligence ◽

Weak Signals ◽

New Strategies

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.”

Download Full-text

Discovering Patterns in Order to Detect Weak Signals and Define New Strategies

Data Mining ◽

10.4018/978-1-4666-2455-9.ch086 ◽

2013 ◽

pp. 1647-1663

Author(s):

Anass El Haddadi ◽

Bernard Dousset ◽

Ilham Berrada

Keyword(s):

Data Mining ◽

Correspondence Analysis ◽

Sequence Data ◽

Multiple Correspondence Analysis ◽

Decision Makers ◽

Competitive Intelligence ◽

Weak Signals ◽

New Strategies

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.”

Download Full-text

Détecter l’innovant sur le web par des techniques non booléennes : méthode, outils, application

Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l'ACSI ◽

10.29173/cais165 ◽

2013 ◽

Author(s):

Eric Boutin ◽

Gabriel Gallezot ◽

Luc Quoniam

Keyword(s):

Information Source ◽

Structured Data ◽

Competitive Intelligence ◽

The Internet ◽

Weak Signals ◽

The Web

La problématique de l’identification de signaux faibles est centrale en Intelligence économique. Le web, par son caractère informel, apparaît comme une source d’information à privilégier. Le problème qui se pose alors est celui de la collecte et du traitement d’une information massive peu structurée. Cette communication présente une approche non booléenne hybride de révélation de connaissances innovantes combinant une recherche informelle sur le web et une recherche très structurée dans un thésaurus. The problem of the identification of weak signals is central in competitive Intelligence. The Web seems to be a very appropriate information source to detect such signals. The difficulty is the collection and the treatment of a mass and little structured data. This communication presents a hybrid non-Boolean approach that reveals innovating knowledge. The approach used information from the Internet and information collected through a thesaurus.

Download Full-text

The influence of confocal microscope design on imaging performance

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100146564 ◽

1993 ◽

Vol 51 ◽

pp. 144-145

Author(s):

C J R Sheppard

Keyword(s):

Image Quality ◽

Fluorescence Imaging ◽

Confocal Microscope ◽

Industrial Applications ◽

Three Dimensions ◽

Design Parameters ◽

Weak Signals ◽

Size And Shape ◽

Imaging Performance ◽

Fundamental Limitation

The confocal microscope is now widely used in both biomedical and industrial applications for imaging, in three dimensions, objects with appreciable depth. There are now a range of different microscopes on the market, which have adopted a variety of different designs. The aim of this paper is to explore the effects on imaging performance of design parameters including the method of scanning, the type of detector, and the size and shape of the confocal aperture.It is becoming apparent that there is no such thing as an ideal confocal microscope: all systems have limitations and the best compromise depends on what the microscope is used for and how it is used. The most important compromise at present is between image quality and speed of scanning, which is particularly apparent when imaging with very weak signals. If great speed is not of importance, then the fundamental limitation for fluorescence imaging is the detection of sufficient numbers of photons before the fluorochrome bleaches.

Download Full-text