A Complex Learning System for Behavior Factor Based Data Analysis

  • Wei Guan
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 220)


In this paper, we propose a complex learning system for data analysis (DP) that is based on behavior factor. This system combines features of both rule-based systems (RBS) and rule-based DP framework. We have identified and analyzed the properties that distinguish behavior factor and rules from data for better determining the most components of the proposed system. For representing domain behavior factor, we investigated a uniform and unified rule representation form based on the creation of the environment component that stored information especially for the management of rule and its quality. Besides dealing with some limitations of currently RBS and BFS cited above, the system through the case study allows us to observe many advantages.


Data analysis Behavior factor Complex learning system Components 


  1. 1.
    May LJ (2002) Major causes of software project failures.
  2. 2.
    Taylor (2000) IT projects: sink or swim. Comput Bull 1(24):24–26. doi: 10.1093/combul/42
  3. 3.
    Ropponen J, Lyytinen K (2000) Components of software development risk: how to address them? IEEE Trans Softw Eng 26(2):98–111. doi: 10.1109/32.841112 Google Scholar
  4. 4.
    Jones C (1997) Applied software measurement: assuring, productivity and quality, 2nd edn, vol 23(7). McGraw-Hill, New York, pp 242–249Google Scholar
  5. 5.
    Standish group, extreme chaos, 2001, Standish group international. http://www.

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Information Center, Xi’an University of Posts and TelecommunicationsXianChina

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