Successful Case-based Reasoning Applications
| Author/creator | Montani, Stefania Editor |
| Other author | Jain, Lakhmi C. Editor |
| Format | Electronic |
| Publication Info | New York : Springer |
| Description | 214 p. 23.500 x 015.500 cm. |
| Supplemental Content | Full text available from SpringerLINK Studies in Computational Intelligence Contemporary (1997-present) |
| Subjects |
| Series | Studies in Computational Intelligence Ser. |
| Summary | Annotation Case-based reasoning (CBR) is an Artificial Intelligence (AI) technique to support the capability of reasoning and learning in advanced decision support systems. CBR exploits the specific knowledge collected on previously encountered and solved situations, which are known as cases.In this book, we have collected a selection of papers on very recent CBR applications. These, after an in-depth analysis of their specific application domain needs, propose proper methodological solutions and give encouraging evaluation results, which have in some cases led to the commercialization step. The collected contributions demonstrate the capability of CBR to solve or handle issues which would be too difficult to manage with other classical AI methods and techniques, such as rules or models. The heterogeneity of the involved application domains indicates the flexibility of CBR, and its applicability in all those fields where experiential knowledge is (readily) available. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9783642140778 |
| ISBN | 3642140777 (Trade Cloth) Active Record |
| Standard identifier# | 9783642140778 |
| Stock number | 3642140777 00024965 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |