A comprehensive survey for intelligent spam email detection

A Karim, S Azam, B Shanmugam, K Kannoorpatti… - Ieee …, 2019 - ieeexplore.ieee.org
The tremendously growing problem of phishing e-mail, also known as spam including spear
phishing or spam borne malware, has demanded a need for reliable intelligent anti-spam e …

Machine Learning Applications for Cybersecurity

MA Thomas - The Cyber Defense Review, 2023 - JSTOR
The trope of future cybersecurity as a battle between warring artificial intelligences awaits
the development of artificial general intelligence. In the interim, however, machine learning …

IoT based ambient assisted living technologies for healthcare: concepts and design challenges

P Purohit, P Khanpara, U Patel… - … on I-SMAC (IoT in Social …, 2022 - ieeexplore.ieee.org
A great influence is imposed on our society as a result of the demographic shift toward the
elderly population. This research study devises novel strategies to help the elderly …

Stock Trend Prediction: A Comparative Study using Different Approaches

P Khanpara, R Kadam, K Lavingia… - 2023 5th International …, 2023 - ieeexplore.ieee.org
With proper knowledge of any company's stock and insight, one can gain large profits sitting
at home. The stock market of a company is a time-series data and stock price prediction is …

Spam Detection Techniques Recapped

S Kishore, M Awad, A Al-Zubidy - … International Conference on …, 2022 - ieeexplore.ieee.org
This paper examines the modern defensive measures that deal with the global spam traffic
over the Internet. Much of the review consists of cross-referencing recently published …

İstenmeyen Epostaların Tespiti için Kullanılan Yöntemlerin İncelenmesi

EE Eryılmaz, E Kılıç - Dicle Üniversitesi Mühendislik Fakültesi …, 2020 - dergipark.org.tr
İstenmeyen elektronik postalar alıcıya rızası dışında gönderilen ve genellikle kötü niyetli
veya tanıtım amaçlı olan kişilerin başvurduğu bir yöntemdir. Elektronik postalar, kullanımının …

COMPARISON OF NAIVE BAYES AND SVM CLASSIFIERS FOR DETECTION OF SPAM SMS USING NATURAL LANGUAGE PROCESSING.

N Krishnaveni, V Radha - ICTACT Journal on Soft …, 2021 - search.ebscohost.com
Day today's innovative world observers an extraordinary possibility in the communication
sector. Individuals will in general utilize various approaches to speak with individuals …

The role of sentiment analysis in a recommender system: a systematic survey

J Patel, H Chhinkaniwala - International Journal of Web …, 2022 - inderscienceonline.com
Currently, fields like e-commerce, education, social media, tourism, and the entertainment
industry rely on recommender systems to provide personalised services to their clients. The …

[PDF][PDF] The Legal Regulation of Spam: An International Comparative Study

FJA Serna - Journal of Innovations in Digital Marketing, 2022 - luminousinsights.net
Spam is the massive sending of messages over the Internet. This activity is carried out
mainly for commercial and marketing purposes and causes a series of harm and conflicts of …

[PDF][PDF] Classifying Unwanted Emails using Naïve Bayes Classifier

VO Oyekunle, EE Ogheneovo - academia.edu
In recent years, the increasing use of Electronic mail for fast and cheap personal, official,
academic communication, and electronic commerce has led to the emergence and further …