Databases and Data Mining

Data is being accumulated, stored and transformed to resources and knowledge at an incredible rate. Database and data management provide crucial properties to make data systems useful and convenient: reliability, efficiency, scalability, concurrency control and high-level query languages. 

Data Mining pulls from existing information to seek out patterns that can make intelligent use of data repositories. Beyond finding useful patterns, database and data mining communicate and represent the data and knowledge visually via information visualization. 

Faculty who conduct research in Databases and Data Mining

Profile Photo

Erman Ayday

Assistant Professor, Computer and Data Sciences Department

Privacy enhancing technologies, data security and applied cryptographyy

Profile Photo

Mehmet Koyuturk

Professor, Computer and Data Sciences Department

Develops algorithms for transforming "big" biological data into systems biology knowledge

Profile Photo

Jing Li

Leonard Case Jr. Professor of Engineering
Professor, Computer and Data Sciences Department

Develops computational approaches and software tools for genomics, bioinformatics and systems biology, and creates computational solutions for big data analytics

Profile Photo

Andy Podgurski

Professor, Computer and Data Sciences Department

Develops techniques to assess and improve the reliability and securty of software systems and applications

Profile Photo

Yinghui Wu

Assistant Professor, Computer and Data Sciences Department

Devise, Design, and Develop novel data management and analysis paradigms and tools to support data and knowledge exploration in the Big Data era.

Profile Photo

Xusheng Xiao

Assistant Professor, Computer and Data Sciences Department

Develops automatic analysis tools for computer security and software testing and analysis

Profile Photo

Fanny Ye

Theodore L. and Dana J. Associate Professor in Computer Science and Engineering
Associate Professor, Computer and Data Sciences Department

Research areas mainly include cybersecurity, data mining, machine learning, and health intelligence.