Data is being accumulated, stored and transformed to resources and knowledge at an incredible rate. These data sets, in turn, become a rich source for AI and machine learning. Database and data management provide crucial properties to make data systems AI-ready, 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.
Meet Our Faculty
-
Erman Ayday, PhD, MS, BS
Associate Professor, Department of Computer and Data Sciences, Case School of EngineeringEmail: erman.ayday@case.edu
-
Mehmet Koyutürk, PhD
Andrew R. Jennings Professor, Department of Computer and Data Sciences, Case School of EngineeringMember, Cancer Genomics and Epigenomics Program, Case Comprehensive Cancer CenterEmail: mehmet.koyuturk@case.edu
Phone: 216.368.2963
I analyze high-throughput biological data, algorithmic and analytical methods in systems/network biology, algorithms for data mining and analysis, parallel computing, algorithms for distributed systems, and optimization problems in scientific computing.
-
Jing Li, PhD
Arthur L. Parker Professor, Department of Computer and Data Sciences, Case School of EngineeringFaculty, Cleveland Institute for Computational BiologyProfessor, Department of Population and Quantitative Health Sciences, School of MedicineEmail: jing.li1@case.edu
Phone: 216.368.0356
-
Andy Podgurski, PhD
Professor, Computer and Data Sciences Department, Case School of EngineeringEmail: podgurski@case.edu
-
Yinghui Wu, PhD
Theodore L. & Dana J. Schroeder Associate Professor in Computer Science & Engineering, Department of Computer and Data Sciences, Case School of EngineeringEmail: yinghui.wu2@case.edu
Phone: 216.368.8829