Survey of Spam Filtering Techniques and Tools , and MapReduce with SVM

@inproceedings{Kakade2013SurveyOS,
  title={Survey of Spam Filtering Techniques and Tools , and MapReduce with SVM},
  author={Amol G. Kakade and Prashant K. Kharat and Anil Kumar Gupta},
  year={2013}
}
Abstract Spam is unsolicited, junk email with variety of shapes and forms. To filter spam, various techniques are used. Techniques like Naïve Bayesian Classifier, Support Vector Machine (SVM) etc. are often used. Also, a number of tools for spam filtering either paid or free are available. Amongst all techniques SVM is mostly used. SVM is computationally intensive and for training it can’t work with large a dataset, these cons can be minimized by introducing MapReduce framework for SVM… CONTINUE READING

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