Clustering of potencial customer in digital trade transaction

influential factors of customer e-loyalty in iranian e-stores

گسترش سریع تکنولوژی و اینترنت مسیر شرکت ها را به نگهداری وفاداری مشتریان الکترونیکی معطوف کرده است. وفاداری مشتریان یک حوزه بسیار جالب برای شرکت ها می باشد و وفاداری مشتریان تاثیر مستقیم بر درآمد و سودزایی شرکتها دارد. با توجه به اهمیت وفاداری مشتری، ما به جستجوی سه مشکل اصلی تحقیق پرداختیم که آن ها مهمترین موانع برای حفظ حیات کسب و کارهای اینترنتی هستند که عبارت از تعویض های متعدد مشتری، هزینه...

CUSTOMER CLUSTERING BASED ON FACTORS OF CUSTOMER LIFETIME VALUE WITH DATA MINING TECHNIQUE

Organizations have used Customer Lifetime Value (CLV) as an appropriate pattern to classify their customers. Data mining techniques have enabled organizations to analyze their customers’ behaviors more quantitatively. This research has been carried out to cluster customers based on factors of CLV model including length, recency, frequency, and monetary (LRFM) through data mining. Based on LRFM,...

A Novel Gaussian Based Similarity Measure for Clustering Customer Transactions Using Transaction Sequence Vector

Abstract. Clustering Transactions in sequence, temporal and time series databases is achieving an important attention from the database researchers and software industry. Significant research is carried out towards defining and validating the suitability of new similarity measures for sequence, temporal, time series databases which can accurately and efficiently find the similarity between user...

Retail Cycle Time: A Customer Transaction Perspective

In the competitive retailing environment of the 1990s, success often depends on a firm’s ability to find a unique way of appealing to a carefully selected group of target customers (those most likely, willing, and able to buy the firm’s offering) in order to gain their patronage, and ideally, their loyalty. The best way to achieve a competitive advantage is to develop a unique merchandise and/o...

The Potencial of Nanorobotics