Home Page of Michael Hahsler

Dr. Michael Hahsler
Visiting Assistant Professor
Department of Computer Science and Engineering
Bobby B. Lyle School of Engineering, SMU, Dallas, Texas

office: Caruth Hall, room 451
office phone: (214) 768-8878
office hours: TTh 10-11:30 or by appointment
e-mail: mhahsler (at) lyle.smu.edu

I am currently a visiting professor and co-director of the Intelligent Data Analysis Lab (IDA@SMU) at the Department of Computer Science and Engineering (CSE), Bobby B. Lyle School of Engineering, Southern Methodist University, Dallas, Texas. Prior to this engagement I was an assistant professor at the Department of Information Systems and Operations and a core researcher at the Research Institute for Computational Methods, both at the Vienna University of Economics and Business, Austria.

My research focuses on applying statistical methods and combinatorial optimization to data analysis, data mining and data visualization. My team's current research projects are “Temporal Relationships Among Clusters in Data Streams (TRACDS)” (NSF IIS-0948893) and “Position Specific P-Mer Frequency Clustering with Application to Classification and Differentiation” (NIH R21HG005912). Our research on Hurricane Intensity prediction was recently featured in the article “Discovery: New Forecasting Algorithm Helps Predict Hurricane Intensity and Wind Speed” (Dec. 5, 2011) by the National Science Foundation.

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Research

Research interests
- Data mining: Recommender systems, association rule mining and data stream clustering
- Data analysis: Visualization based on seriation (combinatorial optimization)
- Digital information management: Digital and virtual libraries
- Software engineering: Reuse and design patterns
Publications and talks
Current and graduated students
Service to the scientific community

Teaching

Spring 2012 classes
- Hahsler, M., "CSE 7337: Information Retrieval and Web Search", Lyle School of Engineering, SMU.
- Hahsler, M., "CSE 8331: Advanced Topics in Data Mining", Lyle School of Engineering, SMU.
- Hahsler, M., "CSE 8098: Computer Science Seminar", Lyle School of Engineering, SMU.
Other lecture notes

Projects

R extension packages
- arules: A package for mining association rules and frequent itemsets. [ CRAN | R-Forge | description ]
- arulesViz: A package for visualizing association rules based on package arules. [ CRAN | R-Forge | description ]
- arulesSequences: Add-on for arules to handle and mine frequent sequences. [ CRAN ]
- arulesNBMiner: Add-on for arules to mine NB-frequent itemsets (see paper) and NB-precise rules. [ CRAN ]
- rEMM: Implementation of the Extensible Markov Model (EMM) which adds a temporal component to data stream clustering by superimposing a dynamically adapting Markov Chain. This research is supported by NSF Grant 0948893. [ CRAN | R-Forge | description ]
- recommenderlab: Provides the infrastructure to test and develop recommender algorithms. Currently the focus is on recommender systems for binary data. [ CRAN | R-Forge | description ]
- seriation: Infrastructure for seriation with an implementation of several seriation/sequencing techniques to reorder matrices, dissimilarity matrices, and dendrograms. [ CRAN | R-Forge | description ]
- TSP: Basic infrastructure and some algorithms for the traveling salesperson problem (TSP). The package provides some simple algorithms and an interface to Concorde, currently the fastest TSP solver for the Traveling Salesperson Problem. [ CRAN | R-Forge | description ]
Tools
- Gridhunt2: a small game used to teach students basic OO concepts like encapsulation, composition, inheritance and polymorphism with C++.
- Simple Slides using LaTeX2e: Experimental extension to latex.
- pix2tn: A simple thumbnail generator implemented in Perl.

Miscellaneous

Find me in: google, google scholar, ACM DL, arnetminer, dblp, linkedin, mendeley, R-forge
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