Note on Association of Attributes.

Retaining Customers Using Clustering and Association Rules in Insurance Industry: A Case Study

This study clusters customers and finds the characteristics of different groups in a life insurance company in order to find a way for prediction of customer behavior based on payment. The approach is to use clustering and association rules based on CRISP-DM methodology in data mining. The researcher could classify customers of each policy in three different clusters, using association rules. A...

Multi-criteria Decision Making Approach: selection of Blanking Die Material (TECHNICAL NOTE)

Proper selection of material in manufacturing firms is a vital role of designer depending upon the different era of application. The material selection problem is very complex and challenging task today. Erroneous cull of material frequently leads to astronomically immense cost involution, and finally drives towards unfortunate component or product breakdown. Thus, the designer necessitates dis...

Assessment of genetic variability, heritability and association of plant attributes with lint yield and fiber quality in advanced lines of cotton (Gossypium hirsutum L.)

Information on genetic variability and heritability of plant attributes and their correlation with lint yield and fiber quality is important for planning breeding and selection strategies for prediction of genetic gains in cotton breeding programs. For these purpose, a field experiment was carried out using randomized complete block design with four replications in 2016 and 2017 at Hashem-Abad ...

Experimental Study on Flow Characteristics Around Twin Wind Blades (RESEARCH NOTE)

In the current study, twin wind blades are designed, fabricated and the effect of various gap ratio (g*) at various angle of attacks (α) on a next to each other twin wind blades are examined in an open-channel wind tunnel. Aerodynamic forces and moments are determined by using three-constraint force balancer. For gap ratio of zero, the aerodynamic attributes are like those of a solitary wind bl...

Using a Data Mining Tool and FP-Growth Algorithm Application for Extraction of the Rules in two Different Dataset (TECHNICAL NOTE)

In this paper, we want to improve association rules in order to be used in recommenders. Recommender systems present a method to create the personalized offers. One of the most important types of recommender systems is the collaborative filtering that deals with data mining in user information and offering them the appropriate item. Among the data mining methods, finding frequent item sets and ...

Retraction Note: Association between T-786C polymorphism of endothelial nitric oxide synthase gene and level of the vessel dilation factor in patients with coronary artery disease