Browsing B.Sc Thesis/Project by Subject "Machine Learning"
Now showing items 1-12 of 12
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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 ... -
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 ... -
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 ... -
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 ... -
Event Detection and Violence Recognition from Textual News through Multilayer Perceptron and Supervised Learning
(2018-11)An unprecedented way is accomplished by using concept words derived from statistical context analysis between sentences which is better than traditional methods that use only keyword representation. Through scaling to a ... -
Machine Learning for Mining Big Data: A Review
(2018-11-24)Development of Big Data is virtually transforming our lifestyle. It is also accelerating industrial growth through process optimization, insight discovery and improved decision making. The massive scale of big data exceeds ... -
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 ... -
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 ... -
Novel Class Detection in Concept Drifting Data Streams Using Decision Tree Leaves
(2018-10-24)Concept drifting data streams often occurs in weather forecasting, intrusion detection and other applications. One of the difficulties with handling concept drifting data streams is the existence of novel classes in the ... -
Prediction of Lysine-Malonylation Sites via Sequential and Physicochemical Features
(2018-10)Lysine Malonylation is Post Translational Modification responsible for Type2 diabetes, Cancer etc. It is a challenging problem as the data from kmal studies are highly imbalanced. In this work we propose Hybrid sampling a ... -
Question and Accepted Answer Recommendation System with a Generic Knowledge Mining Visualization Tool
(2018-01-31)With the increasing software developer community, questions answering (QA) sites, such as StackOverflow, Quora, Yahoo Answer etc. have been gaining its popularity. Hence, in recent years, millions of users are posting in ... -
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/ ...