scholarly journals Overview of the Relational Analysis approach in Data-Mining and Multi-criteria Decision Making

10.5772/8387 ◽  
2010 ◽  
Author(s):  
Julien Ah-Pine ◽  
Jean-Francois Marcotorchino
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Analysis Approach ◽  
Multi Criteria Decision Making ◽  
Relational Analysis

A hybrid model using data mining and multi-criteria decision-making methods for landslide risk mapping at Golestan Province, Iran

2021 ◽  
Vol 80 (15) ◽  
Author(s):  
Elham Rafiei Sardooi ◽  
Ali Azareh ◽  
Tayyebeh Mesbahzadeh ◽  
Farshad Soleimani Sardoo ◽  
Eric J. R. Parteli ◽  
...  
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Hybrid Model ◽  
Risk Mapping ◽  
Landslide Risk ◽  
Multi Criteria Decision Making ◽  
Golestan Province ◽  
Using Data

scholarly journals Application of Consumer Clustering Mining Data Mining in Household with Fuzzy Multi Criteria Decision Making (FMCDM)

2017 ◽  
Vol 2 (1) ◽  
pp. 31
Author(s):  
Muhammad Anshari ◽  
I Putu Suryadharma ◽  
Nyoman Putra Sastra
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Environmental Criteria ◽  
Selection Of ◽  
Help System

This study aims to classify consumers in the selection of houses using Fuzzy Multi Criteria Decision Making (FMCDM) method based on data mining. Alternative houses provided there are four of the minimalist houses, contemporary modern homes, classical houses, and traditional ethnic houses. To generate these choices, there are five criteria: price criteria, home/type criteria, interior criteria, exterior criteria, and home environmental criteria. The results of this study can help system users in determining the choice of home type based on the user's tastes of the criteria available and also can help the investors and contractors in building houses, villas, hotels, and housing of the criteria.

Analytical Review of the Applications of Multi-Criteria Decision Making in Data Mining

2019 ◽  
pp. 53-79
Author(s):  
Iman Raeesi Vanani ◽  
Mir Seyed Mohammad Mohsen Emamat
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Association Rules ◽  
Significant Part ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Research Directions ◽  
Analytical Review ◽  
Future Research Directions ◽  
Reliable Knowledge

In recent years, multi-criteria decision making (MCDM) is a significant part of operations research (OR) and has become an interesting topic to researcher who works in the data mining (DM) field. The aim of this chapter is to provide an in-depth presentation of the contribution of MCDM in the field of DM. In order to develop a reliable knowledge base on accumulating knowledge from previous studies, we present a review of the usage of MCDM methods in DM field. The chapter presents methodology and application. The result shows that the most usage of MCDM in DM consists of evaluating classification algorithms, weighting criteria, and ranking association rules and clusters. Finally, some future research directions are suggested at the end of chapter.

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