Paper published in a book (Scientific congresses and symposiums)
Textractor: A Framework for Extracting Relevant Domain Concepts from Irregular Corporate Textual Datasets
Ittoo, Ashwin; Maruster, Laura; Wortmann, Hans et al.
2010In Lecture Notes in Business Information Processing
Peer reviewed
 

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Disciplines :
Computer science
Author, co-author :
Ittoo, Ashwin ;  Université de Liège - ULiège > HEC-Ecole de gestion : UER > Systèmes d'information de gestion
Maruster, Laura;  University of Groningen
Wortmann, Hans;  University of Groningen > Operations
Bouma, Gosse;  University of Groningen > Information Science
Language :
English
Title :
Textractor: A Framework for Extracting Relevant Domain Concepts from Irregular Corporate Textual Datasets
Publication date :
2010
Event name :
13th International Conference on Business Information Systems, BIS 2010
Event date :
May 3-5, 2010.
Audience :
International
Main work title :
Lecture Notes in Business Information Processing
Edition :
Springer
ISBN/EAN :
978-3-642-12813-4
Collection name :
47
Peer reviewed :
Peer reviewed
Available on ORBi :
since 25 November 2013

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