Title :
Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms
Author :
Somol, P. ; Pudil, P.
Author_Institution :
Dept. of Pattern Recognition, Acad. of Sci. of the Czech Republic, Prague
Abstract :
We present a framework that enables the use of traditional feature selection algorithms in a new context - for building a set of subsets of specified properties. During the course of search individual items are added/removed to/from one of the subsets in the subset system one at a time to maximize an overall criterion. Different tasks of prototype search type can be solved in this alternative way depending on suitable criterion definition. The usability of the concept is shown on keyword extraction example. Further possible applications are suggested
Keywords :
feature extraction; search problems; feature selection algorithm; keyword extraction; multisubset selection; prototype search type; Automation; Clustering algorithms; Data mining; Information theory; Pattern recognition; Prototypes; Search methods; Search problems; Time measurement; Usability;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.832