Results 31 to 40 of about 4,363 (216)
Segmentation of university customers loyalty based on RFM analysis using fuzzy c-means clustering
Jurnal Teknologi dan Sistem Komputer, 2020 One of the strategic plans of the developing universities in obtaining new students is forming a partnership with surrounding high schools. However, partnerships made does not always behave as expected.
Syahroni Hidayat +3 more
doaj +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
, 2005 In the classic recency, frequency and monetary approach to market segmentation, i.e. RFM analysis, given a time frame, customers are clustered together into an arbitrary number of segments according to their most recent day of purchase, the number of ...
Schmitz, Eber Assis +5 more
core
Profit analysis for RFM, LRFM and LRFMV models using standard K-means algorithm.
, 2022 Profit analysis for RFM, LRFM and LRFMV models using standard K-means algorithm.
Rezwana Mahfuza (14285061) +5 more
core +1 more source
Frontiers in NutritionObjectiveTo investigate the relationship between relative fat mass (RFM) and low-carbohydrate diet (LCD) scores and sleep disorders in the U.S. population.MethodsData were collected from the National Health and Nutrition Examination Survey (NHANES ...
Cheng Cao +6 more
doaj +1 more source
Data Mining Using RFM Analysis [PDF]
, 2011 RFM stands for Recency, Frequency and Monetary value. RFM analysis is a marketing technique used for analyzing customer behavior such as how recently a customer has purchased (recency), how often the customer purchases (frequency), and how much the customer spends (monetary).
openaire +1 more source
Turning Green Into Gold: The Impact of Green Intellectual Capital on Performance in European Firms
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines the impact of green intellectual capital (GIC)—green human, structural and relational capital—on business performance in European firms. Using Eurobarometer 498 data and Partial Least Squares Structural Equation Modelling (PLS‐SEM), results show that GIC explains 15.4% of the variance in business performance, with green ...
María del Carmen Peces Prieto +2 more
wiley +1 more source
Maternal perception of reduced fetal movements is associated with altered placental structure and function. [PDF]
PLoS ONE, 2012 Maternal perception of reduced fetal movement (RFM) is associated with increased risk of stillbirth and fetal growth restriction (FGR). DFM is thought to represent fetal compensation to conserve energy due to insufficient oxygen and nutrient transfer ...
Lynne K Warrander +7 more
doaj +1 more source
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Research on readiness and maturity for the smart circular economy (SCE) remains fragmented, especially in the hospitality sector. This study develops a multidimensional framework that integrates the principles of the circular economy, Industry 4.0, and sustainability performance in the context of tourist accommodations.
Rafael Mora‐Contreras +5 more
wiley +1 more source
Applied Sciences, 2021 Supervised machine learning and its algorithms are a developing trend in the prediction of rockfill material (RFM) mechanical properties. This study investigates supervised learning algorithms—support vector machine (SVM), random forest (RF), AdaBoost ...
Mahmood Ahmad +7 more
doaj +1 more source