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AKNOBAS: A Knowledge-based Segmentation Recommender System based on Intelligent Data Mining Techniques
Computer Science and Information Systems, Tome 9 (2012) no. 2 Cet article a éte moissonné depuis la source Computer Science and Information Systems website

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Recommender Systems have recently undergone an unwavering improvement in terms of efficiency and pervasiveness. They have become a source of competitive advantage in many companies which thrive on them as the technological core of their business model. In recent years, we have made substantial progress in those Recommender Systems outperforming the accuracy and added-value of their predecessors, by using cutting-edge techniques such as Data Mining and Segmentation. In this paper, we present AKNOBAS, a Knowledge-based Segmentation Recommender System, which follows that trend using Intelligent Clustering Techniques for Information Systems. The contribution of this Recommender System has been validated through a business scenario implementation proof-of-concept and provides a clear breakthrough of marshaling information through AI techniques.
Keywords: Data Mining, Clustering, Information Systems, Artificial Intelligence, Use Case 
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     author = {Alejandro Rodr{\'\i}guez-Gonz\'alez and Javier Torres-Ni\~no and Enrique Jimenez-Domingo and Juan Miguel Gomez-Berbis and Giner Alor-Hernandez},
     title = {AKNOBAS: {A} {Knowledge-based} {Segmentation} {Recommender} {System} based on {Intelligent} {Data} {Mining} {Techniques}},
     journal = {Computer Science and Information Systems},
     year = {2012},
     volume = {9},
     number = {2},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2012_9_2_a11/}
}
TY  - JOUR
AU  - Alejandro Rodríguez-González
AU  - Javier Torres-Niño
AU  - Enrique Jimenez-Domingo
AU  - Juan Miguel Gomez-Berbis
AU  - Giner Alor-Hernandez
TI  - AKNOBAS: A Knowledge-based Segmentation Recommender System based on Intelligent Data Mining Techniques
JO  - Computer Science and Information Systems
PY  - 2012
VL  - 9
IS  - 2
UR  - http://geodesic.mathdoc.fr/item/CSIS_2012_9_2_a11/
ID  - CSIS_2012_9_2_a11
ER  - 
%0 Journal Article
%A Alejandro Rodríguez-González
%A Javier Torres-Niño
%A Enrique Jimenez-Domingo
%A Juan Miguel Gomez-Berbis
%A Giner Alor-Hernandez
%T AKNOBAS: A Knowledge-based Segmentation Recommender System based on Intelligent Data Mining Techniques
%J Computer Science and Information Systems
%D 2012
%V 9
%N 2
%U http://geodesic.mathdoc.fr/item/CSIS_2012_9_2_a11/
%F CSIS_2012_9_2_a11
Alejandro Rodríguez-González; Javier Torres-Niño; Enrique Jimenez-Domingo; Juan Miguel Gomez-Berbis; Giner Alor-Hernandez. AKNOBAS: A Knowledge-based Segmentation Recommender System based on Intelligent Data Mining Techniques. Computer Science and Information Systems, Tome 9 (2012) no. 2. http://geodesic.mathdoc.fr/item/CSIS_2012_9_2_a11/