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Multimedia data mining algorithm for predicting the result of an event based on the factors that contribute to its success.

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Multimedia data mining on RSI images

IEEE paper implemented : Peano Count Tree Association rule Mining.
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4637289


Using C and Java Swings, the algorithm was designed to mine the visual bands of RSI images 
at bit level so that association rules can be derived between a set of satellite images.
The algorithm was fed with an event's image and a contributing factor's image that contributes 
towards the success of the event.Say Rainfall and crop yield and then rules were mined to study 
how yield is affected by rainfall.So that given a rainfall image of a different geographical 
region, the yield over there could be predicted.


Program files for different versions:


  Codes for RGB to RGB Mapping:
  (parm11.java,parm22.c,parm33.c,parm44.java)


  Codes for RGB to Grey Mapping
  (parm1.java,parm2.c,parm3.c,parm4.java,parm5.java,parm6.java)


  Codes for Multiple contributing factors
  (parm111.java,parm222.c,parm333.c)

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