Intellectual assets management: From patents to knowledge

World Patent Information

Volumn 25, Issue 2, 2003, Pages 155-159

  Camus, Caterina ^a,b   Brancaleon, Riccardo ^a,b  

^a SISSA   (Italy)

^b NONE   (Italy)

Author keywords

ArchIPat; Clustering analysis; Competitive intelligence; Data extraction; Intellectual assets management; Knowledge extraction; Patent collection: Software package; Statistical analysis; Technological trends; Text mining

Indexed keywords

EID: 0037410002     PISSN: 01722190     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0172-2190(02)00131-X     Document Type: Article

References (13)

1. Ruth Dilly, The Queen's University of Belfast, Data Mining--an introduction, (http://www.pcc.qub.ac.uk/tec/courses/datamining)
2. Pietro Parodi, Riccardo Brancaleon, Venuti F, Musso G. Vincent Torre. Document Storage and Retrieval in a Neural Database. DEXA Workshop 1999:598-602
3. Parodi P, Fontana R. Efficient and flexible text extraction from document pages. IJDAR 2(2-3):1999;67-79
4. Baeza-Yates R, Ribeiro-Neto B. Modern Information Retrieval. Longman ed
5. Lasic-Lazic J, Seljan S, Stancic H. Faculty of Philosophy, Department of Information Sciences, Information Retrieval Techniques, 2nd CARNet Users Conference CUC, Zagreb, Croatia, 24-26 September 2000
6. Williams G, Hegland M, Roberts S. IASTED International Conference on Parallel and Distributed Computing and Networks, PDCN'98. A Data Mining Tutorial
7. Karanikas H, Tjortjis C, Theodoulidis B. An approach to text mining using information extraction. The Fourth European Conference on Principles and Practice of Knowledge Discovery in Databases, 13-16 September 2000, Lyon, France, 2000
8. Koundourakis G, Saraee M, Theodoulidis B. Data mining in temporal databases. The Fourth European Conference on Principles and Practice of Knowledge Discovery in Databases, 13-16 September 2000, Lyon, France, 2000
9. Karypis G, Eui-Hong S.H., Kumar V. Chameleon: Hierarchical Clustering Algorithm Using Dynamic Modeling. Computer Magazine, August 1999
10. Borgatti SP. University of South Carolina, How to explain hierarchical clustering. Connections 17(2):78-80
11. Fraley C. Algorithms for model-based Gaussian hierarchical clustering. SIAM J Scientific Comput 20(1):270-81
12. Bacelar-Nicolau H. ODL-Team Thu Jan 13 2000. Classifying Variables By Hierarchical Clustering Models: Empirical And Probabilistic Approaches
13. Palmer DD. A trainable rule-based algorithm for word segmentation. Proceedings of the Thirty-Fifth Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics, 1997