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?
His research interest lies in the fields of data mining and machine learning, with a current focus upon advanced pattern mining methods, novel graph mining algorithms, and applied applications.
I am involved in a number of research efforts in Data Mining, Machine Learning, and Big Data focused on:
- Advanced Descriptive Pattern Mining
- Selective association mining
- Action Rule Mining
- Contrast Mining
- Sequence Mining
- Anomaly Detection
- Local Models
- Data Mining Applied in Cyber-Security and Digital Forensics
- Data Mining Applied in Biomedicine and Health
Subject Areas
- Big Data and Data Mining
- Machine Learning and Artificial Intelligence
- Visual Analytics
His research interest lies in the fields of data mining and machine learning, with an emphasis upon advanced pattern mining methods, novel graph mining algorithms, and applied applications. A current focus area of the applied applications is digital forensics, as demonstrated by his involved in the Center for Advanced Forensics Research Science.
