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Piecewise Surface Regression Modeling in Intelligent Decision Guidance System

  • Juan Luo
  • Alexander Brodsky
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 10)

Abstract

An intelligent decision guidance system which is composed of data collection, learning, optimization, and prediction is proposed in the paper. Built on the traditional relational database management system, the regression learning ability is incorporated. The Expectation Maximization Multi-Step Piecewise Surface Regression Learning (EMMPSR) algorithm is proposed to solve piecewise surface regression problem. The algorithm proves to outperform a few currently-used regression learning packages. Optimization and prediction are integrated to the system based on the learning outcome.

Keywords

Root Mean Square Error Housing Price Transportation Network Structure Query Language Transportation Amount 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Juan Luo
    • 1
  • Alexander Brodsky
    • 1
  1. 1.Department of Computer ScienceGeorge Mason UniversityFairfaxUnited States

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