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Automated Spam Filtering with Fuzzy Similarity Approach - A glimpse of SPAM filtering

di Mallampati, Deepika - Venduto da Dodax EU
Stato: Nuovo
39,89 €
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Mallampati, Deepika Automated Spam Filtering with Fuzzy Similarity Approach - A glimpse of SPAM filtering
Mallampati, Deepika - Automated Spam Filtering with Fuzzy Similarity Approach - A glimpse of SPAM filtering

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Consegna: tra 2021-04-20 e 2021-04-22
Vendita & spedizione: Dodax EU

Descrizione

With the increasing popularity of e-mail, several people and companies found it an easy way to distribute a massive amount of unsolicited messages to a tremendous number of users at a very low cost. These unwanted bulk messages or junk emails are called as spam messages. The majority of spam messages that has been reported recently are unsolicited commercials promoting services and products including sexual enhancers, cheap drugs & herbal supplements, etc. They can also include offensive content such as pornographic images and can be used as well for spreading rumors and other fraudulent advertisements such as make money fast. E-mail spam has become an epidemic problem that can negatively affect the usability of email as communication means. Besides wasting users time and effort to scan and delete the massive amount of junk e-mails received; it consumes network bandwidth and storage space, slows down email servers. Several machine learning approaches have been applied to this problem. In this study, we explore a new approach based on fuzzy similarity that can automatically classify e-mail as spam or legitimate.

Contributori

Scrittore:
Mallampati, Deepika
Hegde, Nagaratna P

Ulteriori informazioni

Tipo multimediale:
Taschenbuch
Editore:
LAP Lambert Academic Publishing
Biografia:
Mallampati, Deepika
Deepika Mallampati is currently the Assistant Professor, Dept of IT, NEIL GOGTE Institute of Technology, Uppal, Hyderabad. She obtained Bachelor of Engineering Degree & Masters degree in Computer Science & Engg from Jawaharlal Nehru Technological University, Hyderabad. She is pursuing PhD from Osmania University, Hyderabad, in the area of ML.
Lingua:
Englisch
Numero di Pagine:
76

Dati Principali

Tipologia articolo:
Paperback book
Data di pubblicazione:
21 febbraio 2020
Dimensioni del collo:
0.22 x 0.15 x 0.005 m; 0.159 kg
GTIN:
09786200587893
DUIN:
737S3F6IE7B
39,89 €
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