Data Mining
Data mining is the process of applying sophistocated search and statistical analysis algorithms to discover associations, relationships, or patterns in large collections of data. Techniques often applied in data mining include such approaches as statistical pattern recognition methods and machine learning approaches to generate rules or systems for the detection or classification of interesting results within a larger collection of data. The very rapid growth of data sets in biology and the life sciences means that data mining is becoming increasingly common in computational analyses of such Omic scale data.
QFAB provides tailored data mining services to researchers who want to get more from their datasets. By creating customised data mining solutions, QFAB can assist researchers to get more from their existing data sets. By consulting with QFAB early, QFAB research staff can also provide detailed advice on the best methods for data capture, annotation and storage to maximise the benefits likely to result from the application of data mining techniques.
Data Mining Case Studies