Hadoop


machine learning thesis topics

Latest Machine Learning Thesis Topics and Thesis Implementation

What is Machine Learning? Machine Learning is a “Field of study that gives computers the ability to learn without being explicitly programmed”. In this data-driven age, machine learning is being used to compile and extract the massive volumes of data that are generated daily. Big shot multinational corporations are now using machine learning to glean real-time insights to enhance their business performance or gain an...

Read More


Data Classification Parameters

Data Classification Parameters

Parameters for |Data Classification Evaluation The parameters for the evaluation of sentiment analysis include various terms. The terms are True positives, true negatives, false negatives and false positives.These are the terms that are used to compare the class labels assigned to documents with the classes the items actually belong to by a classifier.True positive terms are truly classified as positive terms.False positive are not labeled...

Read More


data flow diagram word count problem

Hadoop and Word Count | Hadoop Distributed File System

Hadoop is an Apache open source framework written in Java that allows distributed processing of large datasets across clusters of computers using simple programming models. A Hadoop frame-worked application works in an environment that provides distributed storage and computation across clusters of computers. Hadoop is designed to scale up from a single server to thousands of machines, each offering local computation and storage. Hadoop Architecture...

Read More