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E-Commerce Information System Management Based on Data Mining and Neural Network Algorithms.

Qing Zhang1, Abdul Rashid Abdullah1, Choo Wei Chong1,2

  • 1School of Business and Economics, University Putra Malaysia, 43400 Seri Kembangan, Malaysia.

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Summary
This summary is machine-generated.

Data mining and neural networks accurately predict e-commerce consumer purchasing power and trends. This technology uncovers hidden customer behavior information, driving e-commerce growth with high predictive accuracy.

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Area of Science:

  • Artificial Intelligence
  • E-commerce Analytics

Background:

  • E-commerce systems generate vast amounts of data containing hidden customer behavior insights and future trends.
  • Data mining technology is crucial for extracting valuable information to drive e-commerce development.

Purpose of the Study:

  • To analyze the significance and advantages of data mining in e-commerce management systems.
  • To explore data mining technologies and their application in predicting future e-commerce trends.
  • To evaluate the accuracy of data mining and neural networks in forecasting consumer purchasing power.

Main Methods:

  • Utilized clustering and naive Bayesian methods for classifying product information and purchase preferences.
  • Applied association rule mining to discover hidden patterns in e-commerce data.
  • Employed neural networks for nonlinear data processing to predict future purchasing power.

Main Results:

  • Achieved high accuracy in predicting future consumer purchasing power using data mining and neural networks.
  • Demonstrated a strong correlation coefficient of 0.9785 between real and predicted consumption data.
  • Reported a maximum relative average error of only 2.32% in consumption power predictions.

Conclusions:

  • Data mining effectively extracts previously unrecognizable information and future consumption trends from e-commerce systems.
  • Neural networks provide accurate predictions of future consumer purchasing power and consumption patterns.
  • The integration of data mining and neural networks significantly enhances e-commerce management and forecasting capabilities.