This paper proposes a new procedure and an improved model to mine association rules of customer values. The market of online shopping industry in Taiwan is the research area. Research method adopts Ward’s method to partition online shopping market into three markets. Customer values are refined from an improved RFMDR model (based on RFM/RFMDmodel). Supervised Apriori algorithm is employed with ...

Cardiovascular diseases (CVDs) are the number one cause of death globally. Coronary artery disease (CAD) is most common form CVDs. Abundant research works propose decision support systems for CAD early detection. Most proposed solutions have their origins in realm machine learning and datamining. This paper presents two prediction. The first solution optimizes a random forest model (RFM) throug...

nowadays, marketing managers are more concerned with identifying and understanding customer behavior in the online space. since the customers in online space are not visible, it is much essential to have more information about them to provide better services. customer segmentation is one way to improve the customer problems in an online space. identifying characteristics of customers and optima...

The high-precision geometric positioning of optical remote sensing satellites is the prerequisite to determine application capability satellite image products. Its accuracy related observation each link in imaging process, including attitude, orbit measurement accuracy, time synchronization camera and so on. Untimely inaccurate on-orbit calibration will lead great errors. To optimize images wit...

PURPOSE Although superoxide dismutase (SOD) and malondialdehyde (MDA) affect Delayed Onset Muscle Soreness (DOMS), their effects are unclear in rectus femoris muscles (RFM) of rats with different eccentric exercise programs and time points. The purpose of this study is to investigate the effects of the various eccentric exercise programs at different time points on the SOD mRNA expression and M...

Abstract Background Customer segmentation has become one of the most innovative ways which help businesses adopt appropriate marketing campaigns and reach targeted customers. The RFM model machine learning combination have been widely applied in various areas. Motivations With rapid increase transactional data, can accurately segment customers provide deeper insights into customers’ purchasing ...

With the increase and diversification of network users, scale inter-domain routing system is becoming larger larger. Cascading failure analysis modeling are great significance to improve security networks. To solve problem that propagation principle cascading does not conform reality, a Failure Model for systems with Recovery Feedback Mechanism (CFM-RFM) proposed in this paper. CFM-RFM comprehe...

BACKGROUND Initial stability of the implant is, in effect, one of the fundamental criteria for obtaining long-term osseointegration. Achieving implant stability depends on the implant-bone relation, the surgical technique and on the microscopic and macroscopic morphology of the implant used. A newly designed parabolic screw-type dental implant system was tested in vivo for early stages of inter...

BACKGROUND The development of evidence-based guidelines is a key step in ensuring that maternity care is of a universally high standard. To influence patient care national and international guidelines need to be interpreted and implemented locally. In 2011, the Royal College of Obstetricians and Gynaecologists published guidelines for the management of reduced fetal movements (RFM), which can b...