scholarly journals An Analysis of Current Trends in CBR Research Using Multi-View Clustering

AI Magazine ◽  
2010 ◽  
Vol 31 (2) ◽  
pp. 45 ◽  
Author(s):  
Derek Greene ◽  
Jill Freyne ◽  
Barry Smyth ◽  
Pádraig Cunningham
Keyword(s):  
Case Based Reasoning ◽  
Research Papers ◽  
The Core ◽  
Current Trends ◽  
Research Challenges ◽  
Core Set ◽  
Research Themes ◽  
Promising Application ◽  
The Moment ◽  
Case Based

The European Conference on Case-Based Reasoning (CBR) in 2008 marked 15 years of international and European CBR conferences where almost seven hundred research papers were published. In this report we review the research themes covered in these papers and identify the topics that are active at the moment. The main mechanism for this analysis is a clustering of the research papers based on both co-citation links and text similarity. It is interesting to note that the core set of papers has attracted citations from almost three thousand papers outside the conference collection so it is clear that the CBR conferences are a sub-part of a much larger whole. It is remarkable that the research themes revealed by this analysis do not map directly to the sub-topics of CBR that might appear in a textbook. Instead they reflect the applications-oriented focus of CBR research, and cover the promising application areas and research challenges that are faced.

scholarly journals Automated Facilitation Support in Online Forum

2021 ◽  
Author(s):  
Wen Gu
Keyword(s):  
Real World ◽  
Collective Intelligence ◽  
Case Based Reasoning ◽  
Online Forum ◽  
Promising Application ◽  
The Common ◽  
Future Work ◽  
Level Of Agreement ◽  
Case Based ◽  
Real World Problems

Online forum that gathers participants together to solve the common issues that they are facing is considered as a promising application of utilizing collective intelligence to solve complicated real-world problems. To facilitate the discussions in online forum to proceed smoothly and to build consensus efficiently, human facilitators are introduced into the system. With the increasing sophistication of online forum, human facilitators related problems such as human bias and restricted scale become critical. Therefore, it is critical to explore approaches to support human facilitators in conducting facilitation. However, most of the existing facilitation support techniques only support predefined facilitation tasks that could be defined by static rules. In this research, we aim to explore potential solutions for supporting the human facilitators to conduct facilitation in online forum. As the first step, we have proposed a case-based reasoning (CBR)-based framework that targets support facilitation by utilizing past successful facilitation experience. Currently, our work is focusing on the specific facilitation task of detecting influential user in the online forum. In the future work, we are planning to propose approaches of solving other specific facilitation tasks such as measuring the level of agreement and encouraging participants to reach a consensus.

scholarly journals Construction Method of Tender Document Based on Case-based Reasoning

2021 ◽  
Vol 16 (3) ◽  
Author(s):  
Tingting Zhou ◽  
Xuedong Gao ◽  
Guiying Wei
Keyword(s):  
Empirical Analysis ◽  
Construction Method ◽  
Case Based Reasoning ◽  
Structured Model ◽  
The Core ◽  
Content Recommendation ◽  
The Empirical Analysis ◽  
Partial Revision ◽  
Case Based

The core activities of tender documents compilation are to collect similar historical tender documents, select compilation templates of tender documents and revise templates of tender documents partially. However, when the historical tender documents have accumulated to a certain amount, it becomes extremely difficult for compilers to summary, reuse and revise templates artificially in traditional compiling methods. Based on casebased reasoning (CBR), this paper studied the content recommendation method in the process of tender document construction. Firstly, a structured model of tender documents was constructed, and similar tender cases were retrieved from the tender case database according to the characteristics of tender cases; Secondly, the non-interference sequence index was used to measure the similarity of clauses used in similar tender cases, and the recommended sequences of reference template and content module of tender documents were constructed, which realized the recommendation of compiling templates of tender documents and partial revision of templates; Finally, the knowledge of the new tender case was updated. The empirical analysis shows that the construction method of tender documents based on case-based reasoning not only proposes a suitable strategy for compiling tender documents, but also improves the compilation efficiency of tender documents.

Application of a Case-Based Process Expert System for NC Camshaft Grinding

2010 ◽  
Vol 126-128 ◽  
pp. 127-132 ◽  
Author(s):  
Zhao Hui Deng ◽  
De Fang Cao ◽  
Xiao Hong Zhang ◽  
Hao Tang
Keyword(s):  
Expert System ◽  
Process Parameters ◽  
Case Based Reasoning ◽  
Case Description ◽  
The Core ◽  
Frame Method ◽  
Case Base ◽  
Case Based

In order to solve the problem that selecting process parameters is difficult and inefficient in NC camshaft grinding, a case-based process expert system is presented, which takes frame method to present cases and utilizes case-based reasoning as the core mechanism of system. One of the typical cases of NC camshaft grinding which are stored in the case base of expert system is composed of three parts including description, solution and evaluation. The expert system generates a new case description according to the characteristics of camshaft to be processed, then forms an evaluation parameter from the similarity and the confidence. In the end, process intelligent matching is obtained by applying the system.

PATTERNS OUT OF CASES USING KOHONEN MAPS IN BREAST CANCER DIAGNOSIS

2008 ◽  
Vol 18 (01) ◽  
pp. 33-43 ◽  
Author(s):  
A. FORNELLS ◽  
J. M. MARTORELL ◽  
E. GOLOBARDES ◽  
J. M. GARRELL ◽  
X. VILASÍS
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Image Databases ◽  
Case Based Reasoning ◽  
Self Organizing Map ◽  
Complementary Information ◽  
The Core ◽  
Reasoning System ◽  
Case Based

DESMAI is a framework for helping experts in breast cancer diagnosis. It allows experts to explore digital mammographic image databases according to a certain topology criteria when they need to decide whether a sample is benign or malignant. In this way, they are provided with complementary information to enhance their interpretations and predictions. The core of the application is a SOMCBR system, which is variant of a Case-Based Reasoning system featured by organizing the case memory using a Self-Organizing Map. The article presents a strategy for improving the SOMCBR reliability thanks to the relations between cases and clusters. The approach is successfully applied in DESMAI for estimating, if it is possible, the class of the recovered mammographies.

Reflective practice, artificial intelligence, and engineering design: Common trends and interrelationships

2002 ◽  
Vol 16 (4) ◽  
pp. 261-271 ◽  
Author(s):  
W.P.S. DIAS
Keyword(s):  
Artificial Intelligence ◽  
Reflective Practice ◽  
Engineering Design ◽  
Systems Approach ◽  
Case Based Reasoning ◽  
Common Trends ◽  
Current Trends ◽  
The Common ◽  
Transformation Processes ◽  
Case Based

Some historical and current trends in reflective practice (RP), artificial intelligence (AI), and engineering design (ED) are presented and compared. Human artistry, context, and connectionist approaches to knowledge are the common threads highlighted. ED is considered to be a type of RP and AI a part of RP. This is supported by an analysis of the transformation processes involved in each. AI and systems are presented as approaches for the formalization of RP at the technical and conceptual levels, respectively. Interconnectedness in a hierarchical fashion and purposeful process loops are defined as the key ingredients of a systems approach. AI techniques that could support a range of ED categories (case-based reasoning, decomposition, and transformation) are identified, as are the wider RP approaches that subsume those categories. The ED, AI, and RP categories are identified as spanning from routine to creative, connectionist to cognitivist, and intuitive to deliberate, respectively.

scholarly journals A Hybrid Retrieval Strategy for Case-based Reasoning Using Soft Likelihood Functions

2021 ◽  
Author(s):  
Yameng Wang ◽  
Liguo Fei ◽  
Yuqiang Feng ◽  
Yanqing Wang ◽  
Luning Liu
Keyword(s):  
Operator Method ◽  
Retrieval Algorithm ◽  
Case Based Reasoning ◽  
Local Similarity ◽  
Retrieval Strategy ◽  
Case Retrieval ◽  
Likelihood Functions ◽  
The Core ◽  
Global Similarity ◽  
Case Based

Abstract Case-based reasoning (CBR) is the retrieval of one or more similar cases from an existing case base for the problem to be solved according to the characteristics of the new problem. The core idea of CBR is that similar cases have similar solutions, so whether the CBR system can play a powerful advantage depends on the quality of case retrieval strategy. At present, the commonly used case retrieval algorithm is based on the mean operator method, which is very hard, and a certain local similarity is low will affect the overall result. In order to calculate the global similarity of cases from a new and softer point of view, this paper introduces the soft likelihood functions into case retrieval, combines the soft likelihood functions with KNN, and proposes a hybrid retrieval strategy. The core of the retrieval strategy is to define the global similarity through SLFs, aggregate the local similarity and characteristic similarity together, and also take the attitude characteristics of decision makers into consideration. Through simulation experiments on real data sets, the accuracy rate is more than 81%, which verifies the effectiveness of the retrieval strategy.

scholarly journals Current Trends in the Integration of Case-Based Reasoning and Semantic Web

2019 ◽  
Vol 9 (14) ◽  
Author(s):  
Shahnita Shaharin ◽  
Aslina Saad ◽  
Mashitoh Hashim ◽  
Nor Hasbiah Ubaidullah
Keyword(s):  
Semantic Web ◽  
Case Based Reasoning ◽  
Current Trends ◽  
Case Based

The Final ‘Thank You’

Derrida Today ◽  
2010 ◽  
Vol 3 (1) ◽  
pp. 21-36
Author(s):  
Grant Farred
Keyword(s):  
South Africa ◽  
South African ◽  
Jacques Derrida ◽  
Political Transition ◽  
The Other ◽  
World Cup ◽  
The Core ◽  
Nelson Mandela ◽  
Black President ◽  
The Moment

‘The Final “Thank You”’ uses the work of Jacques Derrida and Friedrich Nietzsche to think the occasion of the 1995 rugby World Cup, hosted by the newly democratic South Africa. This paper deploys Nietzsche's Zarathustra to critique how a figure such as Nelson Mandela is understood as a ‘Superman’ or an ‘Overhuman’ in the moment of political transition. The philosophical focus of the paper, however, turns on the ‘thank yous’ exchanged by the white South African rugby captain, François Pienaar, and the black president at the event of the Springbok victory. It is the value, and the proximity and negation, of the ‘thank yous’ – the relation of one to the other – that constitutes the core of the article. 1

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