Research
Developing efficient algorithms that power faster, smarter, and more reliable computing across diverse applications.
Support vector machines are a set of algorithms that learn from data by creating models that maximize their margin of error. Support vector machines (SVMs) are a family of algorithms for classification, regression, transduction, novelty detection, and semi-supervised learning. They…
Goal The Knowledge Discovery and Data Mining (KDD) process consists of data selection, data cleaning, data transformation and reduction, mining, interpretation and evaluation, and finally incorporation of the mined “knowledge” with the larger decision making…
Database management systems provide functionality that is central to developing business applications. Therefore, database management systems are increasingly being used as an important component in applications. Yet, the problem of tuning database management systems for…