Naive Bayes classifiers work well in many real-world situations such as document classification and spam filtering. Advantages: This algorithm requires a small amount of training data to estimate the ...

Artificial Neural Network,Association Rule Mining,Association Rules,Class Labels,Classification Methods,Data Mining,Decision Tree,Depth-first,Feature Selection ...

Text classification models were constructed ... method for PTSD based on self-narratives utilizing NLP and text-mining techniques. We developed an inquiry-based questionnaire that simulates a clinical ...

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports ...

A data scientist’s main objective is to organize and analyze data, often using software specifically designed for the task. The final results of a data scientist’s analysis must be easy enough ...

Welcome to the laboratory for database and data mining at Simon Fraser university. In today's information society, we witness an explosive growth of the amount of information becoming available in ...

This is a video covering additional topics on using the CDC Excel Tool for Thematic Analysis. This video will explain how to use the tool to conduct mixed methods analyses combining quantitative ...

National Geographic's enterprising photographers have helped readers explore and learn about our beautiful world through their images for more than a century. Here is their best work from the past ...

There are so many techniques you can use to help you declutter your home, but they all have the same end goal: reducing the volume of junk lying around your house and organizing what remains.