A case study of applying data mining techniques in an outfitter’s customer value analysis

A case study of applying LRFM model and clustering techniques to evaluate customer values

“…K-means method belonging to one of non-hierarchical methods is a very popular approach for classifi cation due to its simplicity of implementation and fast execution [5,11]. This approach has been widely applied to various areas, such as market segmentation, pattern recognition, Downloaded by [Ondokuz Mayis Universitesine] at 23:00 03 November 2014 information retrieval, decision-making, and so on [3,7,11].…”

“…Two major steps are involved in K-means method [5,9,11]. First, the assignment step where the instances are placed in the closest class.…”

Exploring the risk factors of preterm birth using data mining

“…It is commonly used in a wide range of profiling practices, such as marketing, fraud detection, performance, scientific discovery and medicine Huang, Chang, & Wu, 2009;Lin, Shiue, Chen, & Cheng, 2009;Çakır, Çalıs ß, & Küçüksille, 2009 thought to be a syndrome initiated by multiple mechanisms, most of which still can not be established. Thus, this works uses data mining to uncover potentially related factors, and our methodology is shown in Fig.…”

Clustering and ranking university majors using data mining and AHP algorithms: A case study in Iran

“…, 10} are randomly selected. Let C lj indicates the value of dimension j of centriod l. Then, the distance between each major and centeriod is calculated using Euclidean distance as the most commonly used distance measure in k-means method (Huang, Chang, & Wu, 2009). That is, the distance between the major UM i and the centeriod C l is obtained by the following formula:…”