Advanced sensor technologies, growth in the amount and availability of sensor data, new computational methods, and greater computational power offer fresh approaches to understand and address the ...

The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen. You'll gain a ...

About this series: This story is part of an ongoing Purdue Today series highlighting programs ranked in the Top 10 or Top 10th percentile among our peers nationally, demonstrating the university’s ...

Researchers at Virginia Tech, New York University (NYU), and the University of Milan, Italy, have created a data mining algorithm they call GOALIE that can automatically reveal how biological ...

Cristina Maier’s primary research interests lie in data science, data-driven systems, and adaptive algorithms, with a particular focus on recommender systems, clustering methods, autonomous systems, ...

With a mathematics and data science major, you’ll explore to how to use data efficiently—and ethically—as you prepare to serve in an emerging field. Become who you’re meant to be. While earning a B.S.

UMass Lowell's Master's in Computer Science is designed for tech professionals and recent graduates seeking to deepen their knowledge in the general area of computer science or specialize in ...

B y the end of this course, you will be able to identify the key components of the data mining pipeline and describe how they're related. You will be able to identify particular challenges presented ...

Researchers have created a data mining algorithm they call GOALIE that can automatically reveal how biological processes are coordinated in time. Researchers at Virginia Tech, New York University (NYU ...

Computer Science is the study of the design and use of computer systems. The goal of the computer science curriculum is to provide students with the tools to identify those problems that are best ...

Introduces basic data mining concepts and techniques for discovering interesting patterns hidden in large-scale data sets, focusing on issues relating to effectiveness and efficiency. Topics covered ...