Data mining uses so-called machine learning and also statistical and visualization ... themselves to different types of biological data analysis. The first approach is generically known as ...

This week starts with an overview of this course, Data Mining Methods, then focuses on frequent pattern analysis, including the Apriori algorithm and FP-growth algorithm for frequent itemset mining, ...

and statistical computing to solve a wide range of data mining and data science problems. Apply their experience with statistical analysis, machine learning, and deep learning tools to real-world ...

In today’s ever-changing landscape of technology and commerce, the Bachelor of Computer Applications (BCA) programme has ...

As a core course in big data analysis technology, data mining and machine learning have a relatively short history and are basically in the process of exploration. There are many problems in the ...

apply analytic techniques and algorithms (including statistical and data mining) to large, complex data sets, apply relevant environments for data processing and visualization, work in collaborative ...

MR-Base (www.mrbase.org) is an openly accessible R (R statistical language) package, a web application and a comprehensive ... We are working with various pharmaceutical companies on approaches to ...

trains students to become effective interdisciplinary collaborators who can apply statistical analysis and data science to enable and accelerate research on campus and making data-driven business ...

multivariate analysis, mathematical statistics, and data mining. His teaching career has garnered several teaching awards. He has also published hundreds of publications covering statistical ...