Web Mining Intelligence for AntiSocial Activity Detection

Web Mining Intelligence for AntiSocial Activity Detection

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  • Data Cleaning
  • Data Integration
  • Data Pre-Processing
  • Data Reduction
  • Data Transformation
  • Firstly,the automatic identification of terms that best describe any anti-social activity like guns, explosives, terrorists, etc i.e. keyword identification is done.
  • Decision Tree
  • k-Nearest Neighbour
  • Classification Techniques.
  • Rule Based Methods
  • Neural Networks
  • On the basis of the identified keywords, details of websites that contain anything related to any of the anti-social activity  are recorded. Website Data gathering is done.
  • Transformation of the obtained raw data into an understandable format is done. Data pre-processing techniques are applied.
  • Anti-social Activities
  • Processed data is classified among various classes using various classification techniques . The type and group of a tuple is determined.
  • Naive Bayes
  • ...and many more
  • The expected pattern related to any anti-social activity is evaluated. 
  • The result is then displayed and necessary actions will be taken against those activities.
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