Machine learning for email spam filtering: review, approaches and open research problems
The upsurge in the volume of unwanted emails called spam has created an intense need for
the development of more dependable and robust antispam filters. Machine learning …
the development of more dependable and robust antispam filters. Machine learning …
An empirical analysis of machine learning algorithms for crime prediction using stacked generalization: an ensemble approach
Ensemble learning method is a collaborative decision-making mechanism that implements
to aggregate the predictions of learned classifiers in order to produce new instances. Early …
to aggregate the predictions of learned classifiers in order to produce new instances. Early …
A deep learning based artificial neural network approach for intrusion detection
SS Roy, A Mallik, R Gulati, MS Obaidat… - … and Computing: Third …, 2017 - Springer
Security of data is considered to be one of the most important concerns in today's world.
Data is vulnerable to various types of intrusion attacks that may reduce the utility of any …
Data is vulnerable to various types of intrusion attacks that may reduce the utility of any …
[PDF][PDF] Intelligent techniques in decision making: A survey
TK Das - Indian Journal of Science and Technology, 2016 - academia.edu
Abstract Background/Objectives: With the idea of enhancing the capability and effectiveness
of decision making while dealing complex problems and under uncertain environments, this …
of decision making while dealing complex problems and under uncertain environments, this …
Spam email detection using deep support vector machine, support vector machine and artificial neural network
Emails are a very important part of our life today for information sharing. It is used for both
personal communication as well as business purposes. But the internet also opens up the …
personal communication as well as business purposes. But the internet also opens up the …
Spam detection using hybrid model of rough set and decorate ensemble
SS Roy, VM Viswanatham… - International Journal of …, 2016 - inderscienceonline.com
The amount of junk emails popularly known as spam emails is ever increasing. It has
created inconvenience for email users. Moreover, spam emails are causing huge monetary …
created inconvenience for email users. Moreover, spam emails are causing huge monetary …
Classifying multi-category images using deep learning: a convolutional neural network model
A Bandhu, SS Roy - … Recent Trends in Electronics, Information & …, 2017 - ieeexplore.ieee.org
This paper presents an image classification model using a convolutional neural network with
Tensor Flow. Tensor Flow is a popular open source library for machine learning and deep …
Tensor Flow. Tensor Flow is a popular open source library for machine learning and deep …
Analyzing intrusion detection system: an ensemble based stacking approach
Intrusion Detection System (IDS) is an application software which detects the presence of
hostile or intrusive elements inside the system. As the nature and type of the intrusions are …
hostile or intrusive elements inside the system. As the nature and type of the intrusions are …
Predicting ozone layer concentration using multivariate adaptive regression splines, random forest and classification and regression tree
Air pollution is one of the major environmental worries in recent time. Abrupt increase in the
concentration of any gas leads to air pollution. The cities are mostly affected due to the …
concentration of any gas leads to air pollution. The cities are mostly affected due to the …
Prediction of customer satisfaction using Naive Bayes, multiclass classifier, K-star and IBK
Customer satisfaction is an important term in business as well as marketing as it surely
indicates how well the customer expectations have been met with by the product or the …
indicates how well the customer expectations have been met with by the product or the …