Projects
In no particular order, these are some of the projects with which I am either currently involved or have been recently involved:- Clu
- A computational cluster designed to support a cloud environment, which, in turn, support multiple machine learning/data mining environments.
- This system supports two research thrusts: distributed machine learning evaluations and digitial forensics on Big Data platforms.
- Project Website
- Anomaly Detection
- First, how can we use existing machine learning methods to detect and/or remediate anomalies?
- Second, what changes need to be made to existing algorithms and/or what new algorithms need to be created to improve the ability to detect and remediate anomalies?
- Multi-Layer Vector Space (MLVS) (a novel sequence representation)
- We are looking at how this can be used for a variety of applications such as cyber-security and bioinformatics.
- Selective descriptive pattern mining
- How can we improve, in practice, the performance of different assocation, contrast, sequence, and action rule mining by incorporating user queries.
- Action Rule Mining
- How can determine, automatically, what factors should be changed that will shift convert an event/situation/object from an undesirable state to a desirable state?
- Moreover, given the number of approaches existing, can we begin to provide som basis for determining the appropriatness of different approaches?