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Spam Classification: Radix Encoded Fragmented Database Approach


Marketed By :  Scholars' Press   Sold By :  Kamal Books International  
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Rs. 3,305

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  • Product Description
Spam or unsolicited email has become a major problem for companies and private users. The problems associated with spam and various approaches that attempt to deal with it, have been presented here. Statistical classifiers are one such group of methods that show adequate performance in filtering spam, based upon the previous knowledge gathered through collected and classified emails. Learning algorithms that uses the Naive Bayesian classifier have shown promising results in separating spam from legitimate mail. An encoded and fragmented database approach that resembles radix sort technique has been proposed and applied for first time to improve Paul Graham's Naive Bayes machine learning algorithm for spam filtering.
Product Specifications
SKU :COC5635
AuthorKapil Sharma,Nishtha Jatana and Manju Bala
Number of Pages80
Publishing Year04/05/15
Book TypeComputing & information technology
Country of ManufactureIndia
Product BrandScholars' Press
Product Packaging InfoBox
In The Box1 Piece (Paperback)
Product First Available On ClickOnCare.com2015-06-24 00:00:00