Title :
Case-Base Maintenance Based on Multi-Layer Alternative-Covering Algorithm
Author :
Li, Jian-yang ; Ni, Zhi-wei ; Liu, Xiao ; Liu, Hui-ting
Author_Institution :
Inst. of Comput. Network, Hefei Univ. of Technol.
Abstract :
Case-based reasoning systems running in interactive domains like e-commerce, can easily reach thousands of cases which are stored in the irreducible case library, and the deletion of any single case means that the uniquity is lost. Aiming on the efficiency of retrieval in this kind of environment, this paper proposes the methods to achieve case-base maintenance (CBM) from the both sides: one is employing alternative-covering algorithm to partition the case library to many covering domains and thus realizing the selective filtering; the other is using multi-layer feedforward neural networks to deal with case retrieval within the large-scale case library. Our experimental results indicate that the integrated method, which is especially feasible for the processing of vast and high dimensional data, can effectively guarantee the system´s usability and enhance its capability
Keywords :
case-based reasoning; feedforward neural nets; information retrieval; case retrieval; case-base maintenance; case-based reasoning system; e-commerce; irreducible case library; multilayer alternative-covering algorithm; multilayer feedforward neural network; selective filtering; Artificial neural networks; Computer networks; Computer science; Cybernetics; Electronic mail; Feedforward neural networks; Filtering algorithms; Large-scale systems; Libraries; Machine learning; Multi-layer neural network; Neural networks; Subspace constraints; CBM; alternative-covering algorithm; irreducible case library; multi-layer feedforward neural networks; selective filter;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258339
