Artificial intelligence techniques: an introduction to their use for modelling environmental systems

SH Chen, AJ Jakeman, JP Norton - Mathematics and computers in …, 2008 - Elsevier
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 …

Which method to use? An assessment of data mining methods in Environmental Data Science

K Gibert, J Izquierdo, M Sànchez-Marrè… - … modelling & software, 2018 - Elsevier
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 …

Application of decision support systems in water management

K Zhang, A Zargar, G Achari, MS Islam… - Environmental …, 2014 - cdnsciencepub.com
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 …

A hybrid case based reasoning model for classification in internet of things (iot) environment

SK Biswas, D Devi, M Chakraborty - Journal of Organizational and …, 2018 - igi-global.com
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 …

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 …

Chapter twelve data mining for environmental systems

K Gibert, J Spate, M Sànchez-Marrè… - Developments in …, 2008 - Elsevier
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 …

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 …

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 …

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 …

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 …