Now showing items 1-10 of 100
Novel Feature Extraction for Predicting Gram-Positive and Gram-Negative Bacteria Protein Sub-cellular Localization
Protein sub-cellular localization is defined as predicting the functioning location of a given protein in the cell. It is considered an important step towards protein function prediction and drug design. In this study, we ...
Evaluation of Online MCQ Test System
(United International University, 2017-11-11)
Education of any kind is necessary for man to develop socially and intellectually. Every day we learn something new. An education should be rooted to culture and committed to progress. Each of us has a social personality ...
A Survey on Multicasting in Software-Defined Networking
(IEEE Communications Surveys & Tutorials, 2017-11-23)
Existing surveys of research into Software-Defined Networking (SDN) make only minimal mention of multicasting. We present a survey of existing multicast routing protocols in IP multicast, and a survey of existing and ...
Secured Electronic Health Record Management Protocol
Since digitization is now a common practice for storing and retrieving data, Electronic Health Record (EHR) management is becoming very popular. EHR management will bring many benefits including easy to store, cost effective, ...
Face recognition in the Edge Cloud
Feature Selection Method for DNA-Binding Protein Identification
DNA-binding proteins play a very important role in the structural composition of the DNA. In addition to that they regulate and effect various cellular processes like transcription, DNA replication, DNA recombination, ...
Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks
(Expert Systems with Applications, 2014-03-31)
In this paper, we introduce two independent hybrid mining algorithms to improve the classification accuracy rates of decision tree (DT) and naïve Bayes (NB) classifiers for the classification of multi-class problems. ...
An Adaptive Ensemble Classifier for Mining Concept-Drifting Data Streams
(Expert Systems with Applications, 2013-11-01)
Traditional data mining techniques cannot be directly applied to the real-time data streaming environment. Existing mining classifiers therefore need to be updated frequently to adopt the changes in data streams. In this ...
Adaptive Intrusion Detection based on Boosting and Naïve Bayesian Classifier
(International Journal of Computer Applications, 2011-06-01)
In this paper, we introduce a new learning algorithm for adaptive intrusion detection using boosting and naïve Bayesian classifier, which considers a series of classifiers and combines the votes of each individual classifier ...
Attacks classification in adaptive intrusion detection using decision tree
(World Academy of Science, Engineering and Technology, 2010-03-22)
Recently, information security has become a key issue in information technology as the number of computer security breaches are exposed to an increasing number of security threats. A variety of intrusion detection systems ...