rfm analysis

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Data Mining Application Examples: RFM model analysis and customer segmentation

Just to help a telecommunications industry to complete a data mining work, in which the RFM model is still a certain representative, and then the data mining RFM model of modeling ideas to share with you the details! Mobile top-up business is a major form of telecommunications business, customer recharge behavior Records just meet the RFM model transaction data r

Reprinted: rfm analysis of member customer transaction data using Excel

Case: rfm analysis of member customer transaction data using Excel Background: A Member Service Enterprise has about 1200 member customers in the past year. As the company wants to activate promotions for different categories of inactive customers, it also plans to launch a series of promotions for key customers to retain these customers and maintain their activity. Therefore, we hope to use this data for c

Using Ml.net to implement customer value analysis based on RFM model

RFM model In many customer value analysis models, the RFM model is widely used, especially in the retail and enterprise Services areas as a classic classification method. Its core definition is from the basic transaction data, with the help of the appropriate clustering algorithm, reflecting the more intuitive classification of customers, for the lack of da

RFM model--Build a business campaign for database marketing!

Label:The RFM model: R (Recency) indicates how long the customer's last purchase was, and F (Frequency) represents the number of times the customer purchased in the most recent period, and M (monetary) represents the amount the customer purchased in the most recent period. The general raw data is 3 fields: Customer ID, purchase time, purchase amount, processed with data mining software, weighted (consider weight) get

Write an RFM file to implement a series of initial settings after the system is started.

The content of the RFM file is as follows: #! /Bin/sh Echo "Welcome to Linux 2.6 In realarm ---- zhulin"Path =/sbin:/bin:/usr/sbin:/usr/binRunlevel = sPrevlevel = NUmask 022Export path runlevel prevlevel## Trap CTRL-C C only in this shell so we can interrupt subprocesses.#Trap ":" int quit tstp/Bin/Mount-T proc NONE/proc/Etc/PPP call CDMA 1 // CDMA modem dialingIptables-T Nat-A postrouting-s 192.168.2.0/24-J masquerade // Nat settingsIP Route add

Who is using my website-user behavior analysis

indicator analysis as much as possible, with no overlapping effect. For example, when the Access frequency is used in stickiness, the more visits there will be, the more pageviews there will be. If you select the total pageviews during activity, indicators are correlated with each other, and duplicate analysis results are affected. Therefore, the average number of access pages for each access is selected t

Telecom Industry Data Analysis Services

improve the investment efficiency, the priority of network optimization is set first.2. Market and precision marketing.(1) Customer portrait. The company can be based on customer terminal information, location information, call behavior, mobile Internet behavior trajectory and other rich data, for each customer to play demographic characteristics, consumption behavior, Internet behavior and interest hobby tag, and with the help of data mining technology (such as classification, clustering,

What are the relationships and concepts between requirement analysis, Architecture Analysis, domain analysis, and system analysis?

Requirement analysis refers to the need for developers to conduct detailed investigation and analysis to accurately understand user requirements. The basic principles for converting users' non-formal requirement statements into complete requirement definitions and then from requirement definitions to process requirement analysis of corresponding formal functions

PHP Reference Call method analysis PHP Data analysis system PHP slow log Analysis PHP project case analysis PD

This example describes the invocation method for PHP references. Share to everyone for your reference, as follows: Example 1: Example 2: Examples 1 and 2 are the same effect. Example 3: Summary: The reference is returned only when the method is defined with the and the method in front of the method name plus when it is called. Example 4: When $ A and $b are not re-assigned, that is, when a write operation occurs, the same as the $a= $b, which is equivalent to an

Data analysis Third: Data feature analysis (distribution analysis + Pareto analysis)

Based on the guarantee of data quality, the distribution and contribution of data are analyzed by drawing charts and calculating some statistics (Pareto analysis), distribution analysis can reveal the distribution characteristics and distribution types of data, and for quantitative data, we can make frequency distribution table and plot frequency distribution histogram display distribution characteristics.

Python data analysis is implemented, including single sample body test, independent sample body test, correlation analysis, and join table analysis !, Python Data Analysis

Python data analysis is implemented, including single sample body test, independent sample body test, correlation analysis, and join table analysis !, Python Data Analysis 1. Hypothesis Test Make a hypothesis and verify it. Confidence level needs to be set, such as 95% Two types of errors: Two types of errors are pro

How developers use data analysis to increase revenue

-time Data-that is, how long it takes to update 3. Data stability of time-based statistics View more analysis cases Although mobile ad revenue analysis on the market is relatively small, you can learn a lot from other types of analysis reports. My personal experience is, iResearch, DCCI, and yiguan can read a macro data, and they will not give you very detailed

Java Learning Summary (20)--json Analysis: Official analysis, Gson analysis, Fastjson analysis,

):package org.json.official;import java.util.List;import org.json.bean.Student;public class TestOfJson { public static void main(String[] args) { //1.JavaBean转化为JSON数据格式 String jsonStr= OfficeJSONUtil.javaToJSON(); System.out.println("1.JavaBean转化为JSON数据格式:"+jsonStr); // 2.将JSON转化为JavaBean对象 Student stu=OfficeJSONUtil.jsonToJavaBean(); System.out.println("2.将JSON转化为JavaBean对象:"+stu); // 3. 把集合转化为JSON字符串 String jsonStr1=OfficeJSONUtil.lis

PHP mathematical operations and data processing examples Analysis Ansys finite element Analysis example ANSYS static analysis Ansys Thermal Analysis Real

a lot of well-designed features, and Mt_rand () is even faster than the version in libc. Two functions provide some functions to get the value of Max_rand. Rand () is Getrandmax (), Mt_rand () is Mt_getrandmax (); Three Formatting data In addition to warnings, errors and other information, most of PHP's output is generated using functions such as ECHO, print (), and printf (). These functions convert the parameters into a string and send them to the client application.The Number_format () funct

Front-end and cloud performance analysis tool Analysis Report, cloud Analysis Report

Front-end and cloud performance analysis tool Analysis Report, cloud Analysis Report The main function of the performance testing tool is to simulate real business operations in the production environment and perform stress load testing on the tested system, monitor the performance of the tested system under different services and different pressure, and identif

How developers use data analysis to increase revenue

-time Data-that is, how long it takes to update 3. Data stability of time-based statistics View more analysis cases Although mobile ad revenue analysis on the market is relatively small, you can learn a lot from other types of analysis reports. My personal experience is, iResearch, DCCI, and yiguan can read a macro data, and they will not give you very detailed

Data analysis and presentation-Pandas data feature analysis and data analysis pandas

Data analysis and presentation-Pandas data feature analysis and data analysis pandasSequence of Pandas data feature analysis data The basic statistics (including sorting), distribution/accumulative statistics, and data features (correlation, periodicity, etc.) can be obtained through summarization (lossy process of ext

Text analysis--affective analysis--text analysis

Text Analysis-Affective analysis Natural language Processing (NLP) • Translating natural Language (text) into a form that is easier to understand by computer programs• Preprocessing-derived string-> to quantify simple emotional analysis Construct an emotional dictionary by oneself construct a dictionary, as Like-> 1, good-> 2, Bad->-1, terrible-2 based on keyword

Linux study note _ 5_Linux Boot Process Analysis _ 2_inittab File Analysis and System Startup Process Analysis

Inittab file profiling [Inittab file format]: id: runlevels: action: process [Filter out rows starting with #: grep-v "^ #"/etc/inittab | more] Id: identifier, which is unique and can contain two digits or letters. Runlevels: indicates the running level. You can specify multiple runlevels. If this parameter is left blank, the value ranges from 0 ~ 6. Execute all running levels Action: Specifies the running status Process: Specifies the script or command to run. Body

Introduction to algorithms-aggregation Analysis of analysis on the same level, and introduction to algorithms-equal level analysis

Introduction to algorithms-aggregation Analysis of analysis on the same level, and introduction to algorithms-equal level analysis In the analysis, the time required to perform a series of data structure operations is obtained by averaging all the operations executed. The spread an

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