Taking up the situated cognition challenge with ripple down rules

Richards, Debbie; Compton, Paul

doi:10.1006/ijhc.1998.0231

Cited by 25 publications

(10 citation statements)

References 50 publications

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“…They proposed the RDR technique as a suitable methodology for Knowledge Acquisition (KA) as well as maintenance of large scale rule based system [9]. RDR was developed to deal with the contextual nature of knowledge expert [6,21]. Basically RDR is a list of rules where each rule can be linked to another list of rules that is called exceptions.…”

Section: Knowledge Acquisition and Ripple Down Rules Based Classificamentioning

confidence: 99%

A Prudent Based Approach for Customer Churn Prediction

Amin

Rahim

Ramzan

et al. 2015

Beyond Databases, Architectures and Structures

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Abstract. This study contributes to formalize a three phase customer churn prediction technique. In the first phase, a supervised feature selection procedure is adopted to select the most relevant subset of features by laying-off the redundancy and increasing the relevance that leads to reduced and highly correlated features set. In the second phase, a knowledge based system (KBS) is built through Ripple Down Rule (RDR) learner which acquires knowledge about seen customer churn behavior and handles the problem of brittle in churn KBS through prudence analysis that will issue a prompt to the decision maker whenever a case is beyond the maintained knowledge in the knowledge database. In the final phase, a technique for Simulated Expert (SE) is proposed to evaluate the Knowledge Acquisition (KA) in KB system. Moreover, by applying the proposed approach on publicly available dataset, the results show that the proposed approach can be a worthy alternate for churn prediction in telecommunication industry.

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Section: Knowledge Acquisition and Ripple Down Rules Based Classificamentioning

confidence: 99%

A Prudent Based Approach for Customer Churn Prediction

Amin

Rahim

Ramzan

et al. 2015

Beyond Databases, Architectures and Structures

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“…Thus, context in a situated sense is more than just the environment but occurs at a conceptual level that exists within a social setting involving such things as activities, participation, roles, contribution and norms [17]. By providing a collaborative approach to knowledge acquisition we capture at least some of the richer social context.…”

Section: A Case For Collaborative Kbsmentioning

confidence: 99%

A social software/Web 2.0 approach to collaborative knowledge engineering

Richards

2009

Information Sciences

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“…Ripple-down Rules knowledge acquisition technology was initially developed to deal with the maintenance problems of medical expert systems [ 21 ]. It is an approach to building knowledge-based system incrementally, while the system is in routine use by utilizing the contextual nature of expert knowledge [ 22 , 23 ].…”

Section: Open Information Managementmentioning

confidence: 99%

Towards Open Information Management in Health Care

Yli-Hietanen

Niiranen²

2008

TOMINFOJ

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Abstract:The utilization of information technology as tool in health care is increasing. The main benefits stem from the fact that information in electronic form can be transferred to different locations rapidly and from the possibility to automate certain information management tasks. The current technological approach for this automation relies on structured, formally coded representation of information. We discuss the limitations of the current technological approach and present a viewpoint, grounded on previous research and the authors' own experiences, on how to progress. We present that a bottleneck in the automation of the management of constantly evolving clinical information is caused by the fact that the current technological approach requires the formal coding of information to be static in nature. This inherently hinders the expandability of the information case space to be managed. We present a new paradigm entitled open information management targeting unlimited case spaces. We also present a conceptual example from clinical medicine demonstrating open information management principles and mechanisms.

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Taking up the situated cognition challenge with ripple down rules

Cited by 25 publications

References 50 publications

A Prudent Based Approach for Customer Churn Prediction

A Prudent Based Approach for Customer Churn Prediction

A social software/Web 2.0 approach to collaborative knowledge engineering

Towards Open Information Management in Health Care

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