DocumentCode
2495870
Title
Automated educated guessing
Author
Stupar, A. ; Michel, Stefan
Author_Institution
Saarland Univ., Saarbrucken, Germany
fYear
2013
fDate
8-12 April 2013
Firstpage
19
Lastpage
20
Abstract
We describe the vision of a system that performs “educated guessing” to answer ad hoc information needs in case of missing or undisclosed information. The guessing procedure is based on discovered common patterns, obtained from structured and semi-structured data, guided by the specific information need.
Keywords
data mining; data structures; information needs; information retrieval; pattern recognition; ad hoc information needs; automated educated guessing; common pattern discovery; guessing procedure; missing information; semistructured data; undisclosed information; Buildings; Cognition; Companies; Context; Databases; Knowledge based systems; Washing machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering Workshops (ICDEW), 2013 IEEE 29th International Conference on
Conference_Location
Brisbane, QLD
Print_ISBN
978-1-4673-5303-8
Electronic_ISBN
978-1-4673-5302-1
Type
conf
DOI
10.1109/ICDEW.2013.6547417
Filename
6547417
Link To Document