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Now showing items 11-20 of 23
Network Intrusion Classification Employing Machine Learning: A Survey
(2019-01-18)
In this modern era computer network security is a vital issue. Network security is developed by an efficient Intrusion Detection System (IDS). It is used to identify unauthorized access, malicious attacks and give an alert ...
Big Data Mining in the Presence of Concept Drifting
(2019-03-05)
Concept drift in big data mining is an absolute, highly demanding research issue in this digital era. A concept in "concept drift" involved in the field of data mining (DM) and machine learning (ML) studies is referred ...
DeepDBP:A Novel Prediction Method for Identification of DNA-binding Protein Using Deep Neural Networks
(2019-03)
DNA-Binding proteins are associated with many cellular level functions which includes
but not limited to body’s defense mechanism and oxygen transportation. They bind
DNAs and interact with them. In the past DBPs were ...
Correlation Based Feature Selection with Clustering for Multi-Class Classification Tasks
(2019-05-20)
In recent times high dimensional data is increasing rapidly. Reduce the dimensionality has become popular by feature selection process. So many scientists prefer to use correlation base feature selection method for grouping ...
Scalable Decision Tree Induction For Mining Big Data
(2019-05-22)
Big data mining is one of the major challenging research issues in the field
of machine learning for data mining applications in this present digital era.
Big data consists of 3V's: (1) volume - massive amount of data/ ...
Machine Learning for Mining Big Data: A Review
(2018-11-20)
Development of Big Data is virtually transforming our lifestyle. It is also ac- celerating industrial growth through process optimization, insight discovery and improved decision making. The massive scale of big data exceeds ...
Enhanced prediction of A-to-I RNA editing sites using nucleotide compositions
(2019-08-31)
RNA editing process like Adenosine to Intosine (A-to-I) often influences basic functions like splicing stability and most importantly the translation. Thus knowledge about editing sites is of great importance in molecular ...
Application of Machine Learning Algorithms to Identify Recombination Spots
(2019-09-24)
Meiotic recombination is a mechanism by which a cell promotes correct segregation of homologous chromosomes and repair of DNA damages. But it does not occur randomly across the whole genome. Relatively high frequencies ...
A Feature Group Weighting Method for Classifying High-Dimensional Big Data
(2019-11-25)
Features hold the distinctive characteristics and intrinsic values of data. But it's of
no use if the important information and pattern can not be extracted from the data
coming from disparate sources and applications. ...
Analysis of Gene Expression Data forGlioma Grade Classification andSurvival Time Prediction
(2020-08-16)
A glioma is a sort of tumor that begins in the glial cells of the brains or the spine. Gliomas contain around 30 percent of all brain tumors and focal sensory system tumors and 80 percent of all dangerous brain tumors. ...