(PDF) A Prediction to Choose Customers in Auto Ancillary

A Prediction to Choose Customers in Auto Ancillary Automotive Products Using K-Tree-Bayes Model for Improving Business Profits and Retention

International Journal of Recent Technology and Engineering - India

doi 10.35940/ijrte.d7391.118419

Full Text

Abstract

Available in full text

Categories

Management of Technology

Date

November 30, 2019

Authors

Unknown

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Related search

A Fuzzy Based Churn Prediction and Retention Model for Prepaid Customers in Telecom Industry

International Journal of Computational Intelligence Systems

Computational Mathematics

Computer Science

English

A Decision-Making Model to Choose Business Intelligence Platforms for Organizations

English

An Empirical Analysis of the Retention of Dissatisfied Business Services Customers Using Structural Equation Modelling

Australasian Marketing Journal

English

Improving Casing Wear Prediction and Mitigation Using a Statistically Based Model

English

Patent Mining to Predict Class Using Decision Tree and Naïve Bayes Algorithm

International Journal of Recent Technology and Engineering

Management of Technology

English

Maximizing Profits Through Customer Segmentation and by Finding Top-K Profitable Products for the Automobile Industry

International Journal of Computer Applications

English

A Novel Clinical Prediction Model for Prognosis in Malignant Pleural Mesothelioma Using Decision Tree Analysis

Journal of Thoracic Oncology

Respiratory Medicine

English

Improving a SVM Meta-Classifier for Text Documents by Using Naive Bayes

International Journal of Computers, Communications and Control

Computer Networks

Computer Science Applications

Computational Theory

English

Improving Tree Survival Prediction With Forecast Combination and Disaggregation

Canadian Journal of Forest Research

Planetary Change

English