Database and Information Systems
The rapid growth of big data creates unprecedented demand and opportunities for developing powerful intelligent information systems that help people manage and extract knowledge from data.
Our faculty work on a wide range of research problems, tackling the many challenges associated with developing such intelligent systems and their applications. Research includes helping people search and find relevant data and information; mining massive amounts of heterogeneous data sets to discover actionable knowledge; optimizing the entire workflow of data access, analytics, and exploration; and analyzing large social networks and to optimize human-computer collaboration centered on data.
Our faculty work closely with industry, and many of our algorithms are used in a wide range of information system applications, especially in database and data analytics systems, data mining systems, search engines, and web information service systems.
CS Faculty and Their Research Interests
|Kevin C. Chang||data mining, database systems, machine learning, information retrieval, web search/mining, social media analytics|
|Jiawei Han||data mining, data warehousing, database systems, information networks|
|Aditya Parameswaran||data management, data mining, database theory, interactive systems, crowdsourced computation|
|Saurabh Sinha||bioinformatics, genomics|
|Hari Sundaram||social and information networks, wearable sensors, computational advertising|
|Marianne Winslett||information security, scientific data management|
|ChengXiang Zhai||information retrieval, text mining, natural language processing, bioinformatics|
|Catherine Blake, Graduate School of Library & Information Science||text mining, information synthesis, collaborative information behaviors, recognizing textual entailment, summarization, evidence-based discovery, meta-analysis, socio-technical systems|
|Robert Brunner, Astronomy||cosmological data mining|
|Daniel S. Katz, NCSA||resilience and fault-tolerance, many-task computing, parallel and distributed computing, sustainable and open science software|
|Bertram Ludascher, Graduate School of Library Information Sciences||data and knowledge management, scientific workflow systems, data curation|
|Bruce Schatz, Medical Information Science||medical informatics, mobile health|
|Victoria Stodden, Graduate School of Library Information Sciences||reproducibility in computational science, data science, policy issues surrounding open data/code sharing|
|Shaowen Wang, Geography and Geographic Information Science||computational and geographic information science; cyberGIS; multi-scale geospatial problem solving|
|Ouri Wolfson, Department of Computer Science, University of Illinois Chicago||spatial databases, computational transportation, location-based services, mobile data management, connectomics|
|Dan Roth, University of Pennsylvania||knowledge representation, natural language processing, machine learning|
Database and Information Systems Research Efforts and Groups
- Carl R. Woese Institute for Genomic Biology (IGB)
- Comp-Gen Initiative in the Carl R. Woese Institute for Genomic Biology
- Data Analytics Subprogram in the Advanced Digital Sciences Center
- Information Network Academic Research Center (INARC)
- KnowEnG, an NIH Center for Excellence for Big Data to Knowledge (BD2K) in the Carl R. Woese Institute for Genomic Biology
- Midwest Big Data Hub
The Yahoo!-DAIS Seminar is held on Thursdays at 1 PM in 3403 SC. Students who take the DAIS Seminar for credit can miss up to two seminars. Speakers are announced on the DAIS mailing list (as are other items of interest to the DAIS community). It is quick and easy to subscribe to the DAIS mailing list.
Database and Information Systems Research News
CNBC -- "It's quite possible the outage would not have occurred if Amazon had stuck with Oracle," said Matt Caesar, a computer science professor at the University of Illinois. "Also, it appears they would have been able to diagnose the problem sooner if they were using Oracle's database."
Business Insider -- If you're looking to add a masters degree to your résumé, online classes may quickly reveal themselves as your most convenient and cost-effective option. The Master of Computer Science in Data Science (MCS-DS) is designed for students to gain access to the computational and statistical knowledge needed to turn big data into meaningful insights.
Health Data Management -- A newly developed tool combines different types of genomic data to predict patients’ responses to therapeutic drugs. The University of Illinois, including CS Professor and Willett Faculty Scholar Saurabh Sinha, worked with the Mayo Clinic to create a Center of Excellence to tap the wealth of information contained in genomic data.
The Daily Illini -- Data science is growing rapidly, and some employers are using standardized testing to judge prospective employees’ data-science knowledge. “It’s perfectly fine for employers to have a test,” said John Hart, professor and director of online professional programs in CS.