|
|
|
|
| Research
|
My research interests include machine learning and big data. I am currently working on data reduction techniques on big data.
We explore the machine learning concept of feature selection
and investigate those technologies in the context of fraud detection. Various techniques
developed from data mining and machine learning
have been successfully applied for deriving new information
in a variety of domains. Feature selection (or
attribute selection) has become a vital pre-processing step
in most data mining and machine learning problems. In
addition to improving the quality of the machine learning
data set, feature selection is particularly useful for highdimensional
data. The aim of feature selection
is to find a feature subset (i.e., data reduction) that can learn
and describe the data set such that it is equivalent to the
same task being done by the original data set (i.e., without
any data reduction).
|
|
