Showing 2869–2880 of 3871 results
Predicting User-Topic Opinions in Twitter with Social and Topical Context Abstract? Predicting User-Topic Opinions in Twitter with Social and Topical Context. With popular microblogging services like Twitter, users are able to online share their real-time feelings in a more convenient way. The user generated data in Twitter is thus regarded as a resource providing individuals?…
Prediction of Diabetes and cancer using SVM Classifer and Na?ve Bayes Abstract?Diabetes mellitus is caused due to the increased level of sugar content in the blood. This can cause series complications like kidney failure, stroke, cancer, heart disease and blindness. The early detection and diagnosis, helps to identify and avoid these complications. A number of…
Prediction of Heart Disease Using Machine Learning Algorithms Abstract-Heart disease is the one of the most common disease. This disease is quite common now a days we used different attributes which can relate to this heart diseases well to find the better method to predict and we also used algorithms for prediction. Naive Bayes, algorithm…
Prediction of Leaf Disease using Segmentation with Hierarchical Clustering Abstract?Abstract Agriculture play a vital role to development of economy of India. Farmers have difficulty to select suitable fruit and vegetable crop. Disease management by manually is a challenging task. Most of the diseases are seen on the leaves or stems of the plant. Hence agriculturist…
Prediction of Rainfall using Datamining technique over Assam Abstract-Meteorological data mining is a form of data mining concerned with finding hidden patterns inside largely available meteorological data, so that the information retrieved can be transformed into usable knowledge. Weather is one of the meteorological data that is rich in important knowledge. The most important climatic…
Predictive Big Data Analytics in Healthcare Abstract?The massive set of data is generated from different organizations throughout the world. This huge and heterogeneous data is called Big Data. < final year projects > [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Readme…
Predictive Data Delivery to Mobile Users through Mobility Learning in Wireless Sensor Networks Abstract? We consider applications, such as indoor navigation, evacuation, or targeted advertising, where mobile users equipped with a smart-phone class device require access to sensor network data measured in their proximity. Speci?cally, we focus on ef?cient communication protocols between static sensors and…
Predictive Data Delivery to Mobile Users through Mobility Learning in Wireless Sensor Networks Abstract? We consider applications, such as indoor navigation, evacuation, or targeted advertising, where mobile users equipped with a smart-phone class device require access to sensor network data measured in their proximity. Speci?cally, we focus on ef?cient communication protocols between static sensors and…
Predictive Dat a Mining for Medical Diagnosis : A n Overview of H eart Disease Prediction Abstract-The successful application of data mining in highly visible fields like e-business, marketing and retail has led to its application in other industries and sectors. Among these sectors just discovering is healthcare. The healthcare environment is still ?information rich?…
Predictive Direct Power Control of Doubly Fed Induction Generators Under Unbalanced Grid Voltage Conditions for Power Quality Improvement Abstract? A new control strategy of doubly fed induction generators DFIGs < Final Year Projects 2016 >under unbalanced grid voltage conditions. The proposed controller includes a model predictive direct power control (MPDPC) method and a power compensation…
Predictive HaCloud Computing based Forensic Analysis for Collaborative Network Security Management Systems handling of Asynchronous Concept Drifts in Distributed Environments Abstract?Predictive HaCloud Computing based Forensic Analysis for Collaborative Network Security Management Systems handling of Asynchronous Concept Drifts in Distributed Environments Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete…
Predictive Handling of Asynchronous Concept Drifts in Distributed Environments Abstract-In a distributed computing environment, peers collaboratively learn to classify concepts of interest from each other.< Final Year Projects > When external changes happen and their concepts drift, the peers should adapt to avoid increase in misclassification errors. The problem of adaptation becomes more difficult when…
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