Rule-based and case-based reasoning: a comparison

@inproceedings{7014,
   author = {Berka, Petr},
   address = {Linz},
   booktitle = {26th Interdisciplinary Management Talks IDIMT 2016},
   edition = {1.},
   editor = {Doucek, P., Chroust, G., Oškral, V.},
   keywords = {Rule-based reasoning; case-based reasoning; inference mechanism; knowledge base; sentiment analysis},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Linz},
   isbn = {978-3-99062-339-8},
   pages = {217-223},
   publisher = {Trauner Verlag},
   title = {Rule-based and case-based reasoning: a comparison},
   url = {https://idimt.org/wp-content/uploads/proceedings/IDIMT_proceedings_2018.pdf},
   year = {2018}
}

TY  - JOUR
ID  - 7014
AU  - Berka, Petr
PY  - 2018
TI  - Rule-based and case-based reasoning: a comparison
PB  - Trauner Verlag
CY  - Linz
SN  - 9783990623398
KW  - Rule-based reasoning
KW  - case-based reasoning
KW  - inference mechanism
KW  - knowledge base
KW  - sentiment analysis
UR  - https://idimt.org/wp-content/uploads/proceedings/IDIMT_proceedings_2018.pdf
L2  - https://idimt.org/wp-content/uploads/proceedings/IDIMT_proceedings_2018.pdf
N2  - Knowledge representation and reasoning play key role in automated decision support as many of the problems machines are expected to solve will require extensive knowledge about the world. In the area of AI (artificial intelligence) research two complementary approaches, rule-based reasoning and case-based reasoning are widely used for building knowledge-based “intelligent” decision-support systems. We will describe the basic principles of both approaches, their strengths and limitations and show how these approaches can be used for sentiment analysis
ER  - 

BERKA, Petr. Rule-based and case-based reasoning: a comparison. In Doucek, P., Chroust, G., Oškral, V. \textit{26th Interdisciplinary Management Talks IDIMT 2016}. 1. vyd. Linz: Trauner Verlag. s.~217-223. ISBN~978-3-99062-339-8. 2018.