Results 151 to 160 of about 4,441 (196)

RfM: A Radio Flashing Tool for Microcontrollers

2009
During its lifetime, an embedded system’s software is subject to recurrent changes, such as bug fixes, upgrades or even complete replacements. Traditionally, programming the system with a new application, i.e., flashing, requires a cable-connection between a PC and the system’s microcontroller.
Stefan Goldmann, Ralf Salomon
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Toward Targeted Mining of RFM Patterns

IEEE Transactions on Neural Networks and Learning Systems
In today's era of information overload, leveraging data mining techniques to understand and analyze customer behavior has become essential for businesses. Among these techniques, the recency, frequency, and monetary value analysis model serves as a powerful tool for customer segmentation, enabling companies to identify high-value customers.
Xiaoye Chen, Wensheng Gan, Zefeng Chen, Jian Zhu 0001, Ruichu Cai, Philip S. Yu   +5 more
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RFM approach for telecom insolvency modeling

Kybernetes, 2016
Purpose – The purpose of this paper is to present application of recency, frequency and monetary value (RFM) approach to predict customer insolvency using telecommunication data corresponding to RFM of late payments. The study tackles a serious problem that telecommunication companies often face and shows the ways to ...
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On completeness of RFM solution structures

Computational Mechanics, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rvachev, V. L., Sheiko, T. I., Shapiro, V., Tsukanov, I.   +3 more
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Vollstochastische RFM-Prognosemodelle

2013
Vollstochastische Modelle basieren auf den Annahmen des stochastischen Prozesses. Sie beschranken sich auf das Identifizieren des „Wahrscheinlichkeitsgesetzes“, nach welchem beobachtbare Transaktionen sich nachempfinden lassen.
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A New Perspective on RFM Analysis

2017
The aim of this chapter is proposing a novel integrated Fuzzy Group Multiple Attribute Decision Making (FGMADM) and Fuzzy C-Means Clustering (FCM) as a DM tool for segmentation of customers (retailers), based on an updated RFM model. For this purpose, the most important criteria to evaluate retailers from the in depth literature survey and experts ...
Mohammad Hasan Aghdaie, Parham Fami Tafreshi   +1 more
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Measuring Magnetostriction with an RSM and RFM

AIP Conference Proceedings, 1973
With a rotating sample magnetometer operating at ω, typically between 5 and 50 rev/sec, or with a rotating field magnetometer in which the field spins at an ω > 1 rev/sec, one can measure magnetostriction on single and polycrystal specimens.
P. J. Flanders, Hugh C. Wolfe, C. D. Graham, J. J. Rhyne   +3 more
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RFM Variables Revisited Using Quantile Regression

2011 IEEE 11th International Conference on Data Mining Workshops, 2011
We revisit well-known variables for database marketing/CRM and relationship marketing using a new methodology: Binary Bayesian Quantile regression. This method allows for a more thorough investigation of the relationship between the response variable and the covariates.
Michel Ballings, Dries F. Benoit, Dirk Van den Poel   +2 more
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RFM analysis for detecting future core technology

Proceedings of the 2012 ACM Research in Applied Computation Symposium, 2012
RFM is a simple and powerful method to provide a framework for understanding and quantifying customer behavior based on purchase in marketing field. The purpose of this study is to demonstrate that RFM analysis can be effectively used for predicting future core technologies.
Dohyun Kim, June Young Lee, Sejung Ahn, Yeongho Moon, Oh-Jin Kwon   +4 more
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The Architecture of SAGE - A Meshfree System Based on RFM

Engineering with Computers, 2002
. In a meshfree system, a geometric model of a domain neither conforms to, nor is restricted by a spatial discretization. Such systems for engineering analysis offer numerous advantages over the systems that are based on traditional mesh-based methods, but they also require radical approaches to enforcing boundary conditions and novel computational ...
Vadim Shapiro, Igor G. Tsukanov
openaire   +1 more source