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Artificial intelligence techniques: an introduction to their use for modelling environmental systems
Knowledge-based or Artificial Intelligence techniques are used increasingly as alternatives
to more classical techniques to model environmental systems. We review some of them and …
to more classical techniques to model environmental systems. We review some of them and …
Which method to use? An assessment of data mining methods in Environmental Data Science
Data Mining (DM) is a fundamental component of the Data Science process. Over recent
years a huge library of DM algorithms has been developed to tackle a variety of problems in …
years a huge library of DM algorithms has been developed to tackle a variety of problems in …
Application of decision support systems in water management
This paper presents an overview of decision support systems (DSSs) as applied to water
management. This includes the definition of DSSs as pertinent to water management, its …
management. This includes the definition of DSSs as pertinent to water management, its …
A hybrid case based reasoning model for classification in internet of things (iot) environment
This article describes how the enormous size of data in IoT needs efficient data mining
model for information extraction, classification and mining hidden patterns from data. CBR is …
model for information extraction, classification and mining hidden patterns from data. CBR is …
Case-Based Reasoning untuk Diagnosis Penyakit Jantung
E Wahyudi, S Hartati - IJCCS (Indonesian Journal of Computing …, 2017 - journal.ugm.ac.id
Abstract Case Based Reasoning (CBR) is a computer system that used for reasoning old
knowledge to solve new problems. It works by looking at the closest old case to the new …
knowledge to solve new problems. It works by looking at the closest old case to the new …
Chapter twelve data mining for environmental systems
Over recent years a huge library of data mining algorithms has been developed to tackle a
variety of problems in fields such as medical imaging and network traffic analysis. Many of …
variety of problems in fields such as medical imaging and network traffic analysis. Many of …
Parameter tuning, feature selection and weight assignment of features for case-based reasoning by artificial immune system
SW Lin, SC Chen - Applied Soft Computing, 2011 - Elsevier
Case-based reasoning (CBR), a popular problem solving methodology in data mining,
solves new problems by analyzing solutions for similar past problems. The many …
solves new problems by analyzing solutions for similar past problems. The many …
Intelligent setting of process parameters for injection molding based on case-based reasoning of molding features
S Yu, T Zhang, Y Zhang, Z Huang, H Gao… - Journal of Intelligent …, 2022 - Springer
Process parameters of injection molding are the key factors affecting the final quality and the
molding efficiency of products. In the traditional automatic setting of process parameters …
molding efficiency of products. In the traditional automatic setting of process parameters …
Integrating case-based and fuzzy reasoning to qualitatively predict risk in an environmental impact assessment review
KFR Liu, CW Yu - Environmental Modelling & Software, 2009 - Elsevier
During the preparation of environmental impact statements (EIS) and environmental impact
assessment reports (EIAR) for a development proposal, developers have three concerns …
assessment reports (EIAR) for a development proposal, developers have three concerns …
Loss and gain functions for CBR retrieval
JL Castro, M Navarro, JM Sánchez, JM Zurita - Information Sciences, 2009 - Elsevier
The method described in this article evaluates case similarity in the retrieval stage of case-
based reasoning (CBR). It thus plays a key role in deciding which case to select, and …
based reasoning (CBR). It thus plays a key role in deciding which case to select, and …