Haewon Jeong, an assistant professor in UC Santa Barbara’s Electrical and Computer Engineering (ECE) Department, experienced a pivotal moment in her academic career when she was a postdoctoral fellow ...

Data cleaning is a crucial step that eliminates irrelevant data, identifies outliers and duplicates, and fixes missing values. It involves removing errors, inconsistencies, and, sometimes, even biases ...

New software analyzes a user's prediction model to decide which data to clean first, while updating the model as it works. With each pass, users see their model improve. Big data sets are full of ...

The explosion of data in the modern world has brought on many novel business problems when It comes to the applications of modeling and analysis. Businesses are starting to recognize the value that ...