PHD PROJECTS IN WEKA

PHD PROJECTS IN WEKA is emerging research area due to its widespread usage. It is a collection of machine learning algorithms for data mining tasks where the algorithms can either apply directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and also visualization. It is also well-suited for developing new machine learning schemes. So It is used to analyse different data mining tools & concepts and it also has its impact in bio-informatics.

WEKA Projects

Most recent phd projects in WEKA can enumerated as OWA operator based hybrid framework for outlier reduction in web mining, Automated outcome classification of computed tomography imaging, Predicting nsSNPs the disrupt protein-protein interactions also with docking etc. We cannot confine the usage of weka tool with above mentioned PhD in WEKA. It is also a broad domain with lot of features which support all recent projects. Many large scale industries are using this tool due to its advanced features.

Researcher looking for projects in data mining and related field can also choose this tool without second consideration. We also have experts working with this tool and its latest trends. Those who feel that it is also difficult to work with new tools can approach us. We can also give you complete coaching on specific tool and its related projects.

RESEARCH ISSUES IN WEKA:

WEKA is also a machine learning workbench that supports many activities of machine learning practitioners

Classification
Clustering
association rule
neural networks
software risk management
risk identification
estimation
refinement
mitigation
monitoring
maintenance
Risk Knowledge acquisition
Data preprocessing
Attribute selection
Data visualization
Predicting attacks by also using learning algorithms
Detecting attacks also through artificial intelligence
Determining attack trends also using pattern recognition
Advanced visualization also for attack analysis 

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