-
Akerele, O.; David, A.; Osofisan, A.: Using the concepts of Case Based Reasoning and Basic Categories for enhancing adaptation to the user's level of knowledge in Decision Support System (2014)
0.05
0.048487294 = product of:
0.121218234 = sum of:
0.02060168 = product of:
0.04120336 = sum of:
0.04120336 = weight(_text_:problems in 1449) [ClassicSimilarity], result of:
0.04120336 = score(doc=1449,freq=2.0), product of:
0.15058853 = queryWeight, product of:
4.1274753 = idf(docFreq=1937, maxDocs=44218)
0.036484417 = queryNorm
0.27361554 = fieldWeight in 1449, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.1274753 = idf(docFreq=1937, maxDocs=44218)
0.046875 = fieldNorm(doc=1449)
0.5 = coord(1/2)
0.10061655 = sum of:
0.07095774 = weight(_text_:etc in 1449) [ClassicSimilarity], result of:
0.07095774 = score(doc=1449,freq=2.0), product of:
0.19761753 = queryWeight, product of:
5.4164915 = idf(docFreq=533, maxDocs=44218)
0.036484417 = queryNorm
0.35906604 = fieldWeight in 1449, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
5.4164915 = idf(docFreq=533, maxDocs=44218)
0.046875 = fieldNorm(doc=1449)
0.02965881 = weight(_text_:22 in 1449) [ClassicSimilarity], result of:
0.02965881 = score(doc=1449,freq=2.0), product of:
0.12776221 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.036484417 = queryNorm
0.23214069 = fieldWeight in 1449, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=1449)
0.4 = coord(2/5)
- Abstract
- In most search systems, mapping queries with documents employs techniques such as vector space model, naïve Bayes, Bayesian theorem etc. to classify resulting documents. In this research studies, we are proposing the use of the concept of basic categories to representing the user's level of knowledge based on the concepts he employed during his search activities, so that the system could propose adapted results based on the observed user's level of knowledge. Our hypothesis is that this approach will enhance the decision support system for solving decisional problems in which information retrieval constitutes the backbone technical problem.
- Source
- Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
-
Kohno, T.: Error repair and knowledge acquisition via case-based reasoning (1997)
0.02
0.018896578 = product of:
0.047241446 = sum of:
0.027468907 = product of:
0.054937813 = sum of:
0.054937813 = weight(_text_:problems in 437) [ClassicSimilarity], result of:
0.054937813 = score(doc=437,freq=2.0), product of:
0.15058853 = queryWeight, product of:
4.1274753 = idf(docFreq=1937, maxDocs=44218)
0.036484417 = queryNorm
0.36482072 = fieldWeight in 437, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.1274753 = idf(docFreq=1937, maxDocs=44218)
0.0625 = fieldNorm(doc=437)
0.5 = coord(1/2)
0.019772539 = product of:
0.039545078 = sum of:
0.039545078 = weight(_text_:22 in 437) [ClassicSimilarity], result of:
0.039545078 = score(doc=437,freq=2.0), product of:
0.12776221 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.036484417 = queryNorm
0.30952093 = fieldWeight in 437, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=437)
0.5 = coord(1/2)
0.4 = coord(2/5)
- Abstract
- Proposes a new architecture combining rule-based reasoning (RBR), case based reasoning (CBR) and knowledge acquisition technology in a system which solves pattern search problems. Details the pattern search problem, the system architecture and functions, error repair method via case-based reasoning, the knowledge acquisition method, system evaluation, and discusses related work
- Date
- 6. 3.1997 16:22:15
-
Mazzucchelli, A.; Sartori , F.: String similarity in CBR platforms : a preliminary study (2014)
0.02
0.016534507 = product of:
0.04133627 = sum of:
0.024035294 = product of:
0.048070587 = sum of:
0.048070587 = weight(_text_:problems in 1568) [ClassicSimilarity], result of:
0.048070587 = score(doc=1568,freq=2.0), product of:
0.15058853 = queryWeight, product of:
4.1274753 = idf(docFreq=1937, maxDocs=44218)
0.036484417 = queryNorm
0.31921813 = fieldWeight in 1568, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.1274753 = idf(docFreq=1937, maxDocs=44218)
0.0546875 = fieldNorm(doc=1568)
0.5 = coord(1/2)
0.017300973 = product of:
0.034601945 = sum of:
0.034601945 = weight(_text_:22 in 1568) [ClassicSimilarity], result of:
0.034601945 = score(doc=1568,freq=2.0), product of:
0.12776221 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.036484417 = queryNorm
0.2708308 = fieldWeight in 1568, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0546875 = fieldNorm(doc=1568)
0.5 = coord(1/2)
0.4 = coord(2/5)
- Abstract
- Case Based Reasoning is a very important research trend in Artificial Intelligence and can be a powerful approach in the solution of complex problems characterized by heterogeneous knowledge. In this paper we present an ongoing research project where CBR is exploited to support the identification of enterprises potentially going to bankruptcy, through a comparison of their balance indexes with the ones of similar and already closed firms. In particular, the paper focuses on how developing similarity measures for strings can be profitably supported by metadata models of case structures and semantic methods like Query Expansion.
- Pages
- S.22-29
-
Mataras, R.L.D.; Plaza, E.: Case-based reasoning : an overview (1997)
0.01
0.006867227 = product of:
0.034336135 = sum of:
0.034336135 = product of:
0.06867227 = sum of:
0.06867227 = weight(_text_:problems in 436) [ClassicSimilarity], result of:
0.06867227 = score(doc=436,freq=2.0), product of:
0.15058853 = queryWeight, product of:
4.1274753 = idf(docFreq=1937, maxDocs=44218)
0.036484417 = queryNorm
0.4560259 = fieldWeight in 436, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.1274753 = idf(docFreq=1937, maxDocs=44218)
0.078125 = fieldNorm(doc=436)
0.5 = coord(1/2)
0.2 = coord(1/5)
- Abstract
- Gives an overview of CBR with emphasis on European ctivites in the field. Identifies major open problems of CBR associated with: retrieval/selection, memory organization, matching, adaptation/evaluation, forgetting and integration with other techniques
-
Ress, D.A.; Young, R.E.: ¬A distributed fuzzy constraint satisfaction system with context-based reasoning (1998)
0.00
0.0048070587 = product of:
0.024035294 = sum of:
0.024035294 = product of:
0.048070587 = sum of:
0.048070587 = weight(_text_:problems in 3842) [ClassicSimilarity], result of:
0.048070587 = score(doc=3842,freq=2.0), product of:
0.15058853 = queryWeight, product of:
4.1274753 = idf(docFreq=1937, maxDocs=44218)
0.036484417 = queryNorm
0.31921813 = fieldWeight in 3842, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.1274753 = idf(docFreq=1937, maxDocs=44218)
0.0546875 = fieldNorm(doc=3842)
0.5 = coord(1/2)
0.2 = coord(1/5)
- Abstract
- Presents a fuzzy constraint satisfaction system which can be used in a distributive environment where large problems can be broken down into smaller constraint networks for easier processing. Identifies contexts which exist within the constraint satisfaction system. Context based reasoning is identified both within and among constraint networks. Outlines the motviation behind the research and describes the fuzzy constraint satisfaction system FuzCon. Points out 3 mappings of the context-based reasoning 'ist' operator to fuzzy constraints and presents an example of designing a printed wiring board
-
Golding, A.R.; Rosenbloom, P.S.: Improving accuracy by combining rule-based and case-based reasoning (1996)
0.00
0.003954508 = product of:
0.019772539 = sum of:
0.019772539 = product of:
0.039545078 = sum of:
0.039545078 = weight(_text_:22 in 607) [ClassicSimilarity], result of:
0.039545078 = score(doc=607,freq=2.0), product of:
0.12776221 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.036484417 = queryNorm
0.30952093 = fieldWeight in 607, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=607)
0.5 = coord(1/2)
0.2 = coord(1/5)
- Date
- 6. 3.1997 16:22:15
-
Ram, A.; Santamaria, J.C.: Continuous case-based reasoning (1997)
0.00
0.003954508 = product of:
0.019772539 = sum of:
0.019772539 = product of:
0.039545078 = sum of:
0.039545078 = weight(_text_:22 in 435) [ClassicSimilarity], result of:
0.039545078 = score(doc=435,freq=2.0), product of:
0.12776221 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.036484417 = queryNorm
0.30952093 = fieldWeight in 435, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=435)
0.5 = coord(1/2)
0.2 = coord(1/5)
- Date
- 6. 3.1997 16:22:15
-
Pfeffer, M.: Automatische Vergabe von RVK-Notationen mittels fallbasiertem Schließen (2009)
0.00
0.002965881 = product of:
0.014829405 = sum of:
0.014829405 = product of:
0.02965881 = sum of:
0.02965881 = weight(_text_:22 in 3051) [ClassicSimilarity], result of:
0.02965881 = score(doc=3051,freq=2.0), product of:
0.12776221 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.036484417 = queryNorm
0.23214069 = fieldWeight in 3051, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=3051)
0.5 = coord(1/2)
0.2 = coord(1/5)
- Date
- 22. 8.2009 19:51:28
