Master Thesis Weka Projects

         Master Thesis Weka Projects provide dynamic platform for you with the collaboration of our 100+ universal level dedicated experts. We provide complete research guidance for students (ME, MTech, MCA, MPhil) and research fellows (PhD/MS). Our outstanding brilliants have high experience in research proposal preparation, journal paper Sand conference paper preparation etc. We can also support you to publish your journal paper in world’s top journals [SCI, Scopus, and Springer]. If you desire to get our support and guidance for your journal paper publication, take your mobile and call us.

Champion of Research Topics for Master Thesis Weka Projects:

• Performance Evaluation of Mahout Clustering Algorithms Using a Twitter Streaming Dataset
• A model for prediction of monthly solar radiation of different meteorological locations of Bangladesh using artificial neural network data mining tool
• Carbon emission measurement in improved cook stove using data mining
• Breast cancer surgery survivability prediction using Bayesian network and support vector machines [Master Thesis Weka Projects]
• An approach for classification using simple CART algorithm in WEKA
• Classifiers Comparison for Attack Detection in Computer Networks
• An intelligent MPPT controller for a PV source using cascaded artificial neural network controlled DC link
• Predicting unlabeled traffic for intrusion detection using semi-supervised machine learning
• A New Cloud Computing Architecture for the Classification of Remote Sensing Data
• Generic binary classifier tool for diagnosis of patients suffering from brain disorders in R
• Spam detection using KNN and decision tree mechanism in social network
• Rice crop yield forecasting of tropical wet and dry climatic zone of India using data mining techniques
• Performance Evaluation of Intrusion Detection System Using Anomaly and Signature Based Algorithms to Reduction False Alarm Rate and Detect Unknown Attacks [Master Thesis Weka Projects]
• Processing big data with decision trees: A case study in large traffic data
• Analysis of data mining techniques for heart disease prediction