TY - GEN
T1 - Document explorer
T2 - 10th International Symposium on Methodologies for Intelligent Systems, ISMIS 1997
AU - Feldman, Ronen
AU - Kiösgen, Willi
AU - Zilberstein, Amir
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1997.
PY - 1997
Y1 - 1997
N2 - Document Explorer is a data mining system for document collections. Such a collection represents an application domain, and the primary goal of the system is to derive patterns that provide knowledge about this domain. Additionally, the derived patterns can be used to browse the collection. Document Explorer searches for patterns that capture relations between concepts of the domain. The patterns which have been verified as interesting are structured and presented in a visual user interface allowing the user to operate on the results to refine and redirect mining queries or to access the associated documents. The system offers preprocessing tools to construct or refine a knowledge base of domain concepts and to create an intermediate representation of the document collection that will be used by all subsequent data mining operations. The main pattern types, the system can search for, are frequent sets, associations, concept distributions, and keyword graphs. To enable the user to provide some explicit bias, the system provides a dedicated query language for searching the vast implicit spaces of pattern instances that exist in the collection.
AB - Document Explorer is a data mining system for document collections. Such a collection represents an application domain, and the primary goal of the system is to derive patterns that provide knowledge about this domain. Additionally, the derived patterns can be used to browse the collection. Document Explorer searches for patterns that capture relations between concepts of the domain. The patterns which have been verified as interesting are structured and presented in a visual user interface allowing the user to operate on the results to refine and redirect mining queries or to access the associated documents. The system offers preprocessing tools to construct or refine a knowledge base of domain concepts and to create an intermediate representation of the document collection that will be used by all subsequent data mining operations. The main pattern types, the system can search for, are frequent sets, associations, concept distributions, and keyword graphs. To enable the user to provide some explicit bias, the system provides a dedicated query language for searching the vast implicit spaces of pattern instances that exist in the collection.
UR - http://www.scopus.com/inward/record.url?scp=78149290084&partnerID=8YFLogxK
U2 - 10.1007/3-540-63614-5_13
DO - 10.1007/3-540-63614-5_13
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AN - SCOPUS:78149290084
SN - 3540636145
SN - 9783540636144
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 137
EP - 146
BT - Foundations of Intelligent Systems - 10th International Symposium, ISMIS 1997, Proceedings
A2 - Ras, Zbigniew W.
A2 - Skowron, Andrzej
PB - Springer Verlag
Y2 - 15 October 1997 through 18 October 1997
ER -