The high product variety of a mass customization strategy induces a high level of complexity both from the mass-customizer’s perspective as well as from the customers’ viewpoint. In particular, a high number of different product variants and configurable features can be challenging for the end-user who is often overwhelmed during the configuration and buying process. As customers are generally ...

The high product variety of a mass customization strategy induces a high level of complexity both from the mass-customizer's perspective as well as from the customers' viewpoint. In particular, a high number of different product variants and configurable features can be challenging for the end-user who is often overwhelmed during the configuration and buying process. As customers are generally ...

The paper presents a novel approach for customer segmentation which is the basic issue for an effective CRM ( Customer Relationship Management ). Firstly, the chi-square statistical analysis is applied to choose set of attributes and K-means algorithm is employed to quantize the value of each attribute. Then DBSCAN algorithm based on density is introduced to classify the customers into three gr...

Objective: It is necessary to improve the predictive accuracy of binary logistic regression analysis. This study aimed to clarify whether binary logistic regression analysis using Functional Independence Measure (FIM) gain (a 0/1 binary value) as a dependent variable increases the predictive accuracy when FIM at admission (FIMa) is categorized or when multiple predictive formulae are created. M...

Community detection is a task responsible for categorizing nodes of a graph into groups that share similar features or properties (e.g. topological structure or node attributes). This is an important task in fields such as social network analysis or pattern recognition that span a large and varied amount of information hiding relations with knowledge. In this sense, an initiative that seeks to ...