Since the increased importance is placed on customer equity in today’s business environment, many firms are focusing on the notion of customer loyalty and profitability to increasing market share. Building successful customer relationship management (CRM), a firm starts from identifying customers’ true value and loyalty since customer value can provide basic information to deploy more targeted ...

The key points in customer segmentation are determining target groups and satisfying their needs. Recency-Frequency-Monetary (RFM) analysis K-Means clustering algorithm the popular methods for when analyzing behavior. In our study, we adapt K-means to RFM model by extracting features that represent aspects of home appliances. Customers with similar RFM-oriented assigned same clusters, while cus...

Mulching and tillage are widely considered to be major practices for improving soil and water conservation where water is scarce. This paper studied the effects of FM (flat mulching), RFM (ridge-furrow mulching), SM (straw mulching), MTMC (mulching with two materials combined), MOM (mulching with other materials), NT (no-tillage) ST (subsoiling tillage) and RT (rotational tillage) on wheat yiel...

In this paper, we present a new technique for statistical modeling of speech segments based on Markov random fields. Classical and multi-stream HMMs are particular cases of this more general family of models. However, the Random Field Model (RFM) proposed here can be seen as an extension of the multiband HMM in which interactions between the frequency bands have been added. In a first experimen...

The RFMmodel provides an effective measure for customers’ consumption behavior analysis, where three variables, namely, consumption interval, frequency, and money amount are used to quantify a customer’s loyalty and contribution. Based on the RFM value, customers can be clustered into different groups and the group information is very useful in market decision making. However, most previous wor...

RFM and CLV: Using Iso-value Curves for Customer Base Analysis We present a new model that links the well-known RFM (recency, frequency, monetary value) paradigm with customer lifetime value (CLV). While previous researchers have connected the two conceptually, none has presented a formal model that requires nothing more than RFM inputs to make specific lifetime value projections for a set of c...

Serum progesterone and estradiol-17β levels were estimated in Nili Ravi buffaloes (n=190) with and without fetal membranes retention in three agro-ecological zones of Punjab. The results showed that serum progesterone concentration was significantly higher (P<0.05) in buffaloes with retention of fetal membranes (RFM) compared to buffaloes without retention of fetal membranes (NRFM). The compari...

Product recommendation is a business activity that is critical in attracting customers. Accordingly, improving the quality of a recommendation to fulfill customers’ needs is important in fiercely competitive environments. Although various recommender systems have been proposed, few have addressed the lifetime value of a customer to a firm. Generally, customer lifetime value (CLV) is evaluated i...

This research study addressed and compared 3D physical and empirical models for stereo-processing and the generation of digital surface models (DSMs) from different stereo highresolution (HR) sensors (Ikonos and QuickBird). The 3D physical model is Toutin’s Model (TM) developed at the Canada Centre for Remote Sensing, and the empirical model is the rational function model (RFM). The study also ...