value weighted selection - significado y definición. Qué es value weighted selection
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Qué (quién) es value weighted selection - definición

METHOD FOR ANALYZING CUSTOMER VALUE
RfM; Recency, frequency, monetary value; RFE (customer value); Weighted RFM; RFM (customer value); RFE (market research)

Feature selection         
  • Embedded method for Feature selection
  • Wrapper Method for Feature selection
  • Filter Method for feature selection
PROCEDURE IN MACHINE LEARNING AND STATISTICS
Input selection; Feature selection problem; Variable selection; Feature subset selection
In machine learning and statistics, feature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features (variables, predictors) for use in model construction. Feature selection techniques are used for several reasons:
Weighted-average life         
WEIGHTED AVERAGE OF THE TIMES OF THE PRINCIPAL REPAYMENTS; THE AVERAGE TIME UNTIL A DOLLAR OF PRINCIPAL IS REPAID
Weighted-Average Life; Weighted average life; Weighted Average Life
In finance, the weighted-average life (WAL) of an amortizing loan or amortizing bond, also called average life,PIMCO glossaryBloomberg Glossary is the weighted average of the times of the principal repayments: it's the average time until a dollar of principal is repaid.
Material selection         
  • '''Figure 3.''' Ashby chart with performance indices plotted for maximum result
SELECTION PROCESS OF A MATERIAL FOR A PARTICULAR APPLICATION
Materials selection
Material selection is a step in the process of designing any physical object. In the context of product design, the main goal of material selection is to minimize cost while meeting product performance goals.

Wikipedia

RFM (market research)

RFM is a method used for analyzing customer value and segmenting customers which is commonly used in database marketing and direct marketing. It has received particular attention in the retail and professional services industries.

RFM stands for the three dimensions:

  • Recency – How recently did the customer purchase?
  • Frequency – How often do they purchase?
  • Monetary Value – How much do they spend?