Case-based adaptation of workflows

Minor, Mirjam; Bergmann, Ralph; Görg, Sebastian

doi:10.1016/j.is.2012.11.011

Cited by 58 publications

(32 citation statements)

References 32 publications

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“…Hence, CBR has often been used in fields such as marketing, engineering, and economics to solve complex problems and is an effective technique because of its flexibility in representing a particular case [23,34,35]. Moreover, CBR has a higher number of appealing features than that of EKS approaches, and can overcome the disadvantages of EKS approaches while retaining advantages such as artificial intelligence, simplification of tedious tasks, and high automatic competence.…”

Section: Cbr For Landslide Detectionmentioning

confidence: 99%

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Automatic Case-Based Reasoning Approach for Landslide Detection: Integration of Object-Oriented Image Analysis and a Genetic Algorithm

et al. 2015

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This paper proposes an automatic method for detecting landslides by using an integrated approach comprising object-oriented image analysis (OOIA), a genetic algorithm (GA), and a case-based reasoning (CBR) technique. It consists of three main phases: (1) image processing and multi-image segmentation; (2) feature optimization; and (3) detecting landslides. The proposed approach was employed in a fast-growing urban region, the Pearl River Delta in South China. The results of detection were validated with the help of field surveys. The experimental results indicated that the proposed OOIA-GA-CBR (0.87) demonstrates higher classification performance than the stand-alone OOIA (0.75) method for detecting landslides. The area under curve (AUC) value was also higher than that of the OPEN ACCESS Remote Sens. 2015, 7 4319 simple OOIA, indicating the high efficiency of the proposed landslide detection approach. The case library created using the integrated model can be reused for time-independent analysis, thus rendering our approach superior in comparison to other traditional methods, such as the maximum likelihood classifier. The results of this study thus facilitate fast generation of accurate landslide inventory maps, which will eventually extend our understanding of the evolution of landscapes shaped by landslide processes.

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Section: Cbr For Landslide Detectionmentioning

confidence: 99%

“…Conversely, CBR is more similar to human perception, which uses knowledge derived from previous situations to solve new problems. CBR has been applied in various fields such as finance, marketing, and engineering [19,[23][24][25]. In this study, CBR was used to detect landslides for mapping image objects.…”

Section: Introductionmentioning

confidence: 99%

Automatic Case-Based Reasoning Approach for Landslide Detection: Integration of Object-Oriented Image Analysis and a Genetic Algorithm

et al. 2015

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“…Very interestingly, some recent papers in the area of CBR for business process management (Minor et al, 2011(Minor et al, , 2014aMüller & Bergmann, 2014) also consider the reuse/adaptation step of the CBR cycle (Aamodt & Plaza, 1994). An automation of the adaptation step in process model retrieval is easier in very specific domains, such as the one of cooking recipes (Müller & Bergmann, 2014).…”

Section: Related Workmentioning

confidence: 99%

Trace retrieval for business process operational support

Bottrighi

Canensi

Leonardi

et al. 2016

Expert Systems with Applications

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Operational support assists users while process instances are being executed, by making predictions about the instance completion, or recommending suitable actions, resources or routing decisions, on the basis of the already completed instances, stored as execution traces in the event log.In this paper, we propose a case-based retrieval approach to business process management operational support, where log traces are exploited as cases. Once past traces have been retrieved, classical statistical techniques can be applied to them, to support prediction and recommendation. The framework enables the user to submit queries able to express complex patterns exhibited by the current process instance. Such queries can be composed by several simple patterns (i.e., single actions, or direct sequences of actions), separated by delays (i.e., actions we do not care about). Delays can also be imprecise (i.e., the number of actions can be given as a range). The tool also relies on a tree structure, adopted as an index for a quick retrieval from the available event log.Our approach is highly innovative with respect to the existing literature panorama, since it is the first work that exploits case-based retrieval techniques in the operational support context; moreover, the possibility of * Corresponding author. Tel. +39 0131 360340Email addresses: alessio.bottrighi@uniupo.it (Alessio Bottrighi), canensi@di.unito.it (Luca Canensi), giorgio.leonardi@mfn.unipmn.it (Giorgio Leonardi), stefania.montani@uniupo.it (Stefania Montani), terenz@di.unito.it (Paolo Terenziani) Preprint submitted to Expert Systems with ApplicationsOctober 1, 2015 retrieving traces by querying complex patterns and the indexing strategy are major departures also with respect to other existing trace retrieval tools proposed in the Case Based Reasoning area. Thanks to its characteristics and methodological solutions, the tool implements operational support tasks in a flexible and efficient way, as demonstrated by our experimental results.

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“…CBR is one of the most promising techniques to handle many attributes that are complex and unstructured information of the problem [16]. It is a problem solving technique that drives the solution based on remembering the past cases and using the similar cases for the new problem.…”

Section: Case Based Reasoningmentioning

confidence: 99%

Intelligent Hybrid Fault Diagnostic System

Mohamed¹,

El-Fouly²

2015

IJAIS

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Recently, intelligent hybrid fault diagnostic systems are widely used to deal with the modern complex systems. It is found that, case based reasoning approach has proved its powerful as modern diagnostic technique. It can simplify the computation analysis required for diagnosis the complex systems. But, they still suffer from some limitations due to: (1) its inability to achieve a diagnosis for new faults that having no similar cases in its case library. (2) problems of storing the cases in the library and its effect on the complexity of the retrieving and adaptation processes. The proposed research introduces a new intelligent hybrid system that integrates the case based reasoning, neural network, and the genetic algorithm approaches to improve the performance of the CBR diagnostic systems. It incorporates the neural network into the case based system to diagnose the new faults. While, it uses the genetic algorithm to optimize the topology of the neural network and to select the optimum cases to be stored in the case library to manage its size. Therefore, the proposed hybrid diagnostic system can increase the accuracy, decrease the time and simplify the complexity of the retrieving and adaptation processes of CBR systems. The suggested system has applied for diagnosis the faults of a Wireless Network. This network communicates between a robot arm used for cleaning the solar cell panels of the complex PV systems, and its control centre as a case of study. The obtained results have proved good performance of the proposed hybrid diagnostic system in the practical sites. KeywordsCase-based reasoning, genetic algorithm, neural network, fault diagnosis, and PV System.

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Case-based adaptation of workflows

Cited by 58 publications

References 32 publications

Automatic Case-Based Reasoning Approach for Landslide Detection: Integration of Object-Oriented Image Analysis and a Genetic Algorithm

Automatic Case-Based Reasoning Approach for Landslide Detection: Integration of Object-Oriented Image Analysis and a Genetic Algorithm

Trace retrieval for business process operational support

Intelligent Hybrid Fault Diagnostic System

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