Home Page of Michael Hahsler

Dr. Michael Hahsler Visiting Assistant Professor Department of Computer Science and Engineering, Lyle School of Engineering Southern Methodist University, Dallas, Texas office: Caruth Hall, room 451 office phone: (214) 768-8878 e-mail: mhahsler (at) lyle.smu.edu

I am currently a visiting assistant professor and co-director of the Intelligent Data Analysis (IDA) group at the Department of Computer Science & Engineering (CSE), 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, Vienna, Austria.

My research focuses on applying statistical methods and combinatorial optimization to data analysis, data mining and data visualization. This year I co-organize the First International Workshop on Novel Data Stream Pattern Mining Techniques (StreamKDD'10) at KDD-2010. I am also a Co-PI for the Temporal Relationships Among Clusters in Data Streams (TRACDS) project sponsored by NSF IIS-0948893.

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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
• Talks
• Scientific community service

Teaching

• Lecture notes
• Supervised masters' and Ph.D. theses

Projects

• R extension packages
  • arules: A package for mining association rules and frequent itemsets. Get the current release of arules from CRAN or read an introductory article on arules.
  • arulesViz: A package for visualizing association rules based on package arules.
  • arulesSequences: Add-on for arules to handle and mine frequent sequences. Get the current release of arulesSequences from CRAN.
  • arulesNBMiner: Add-on for arules to mine NB-frequent itemsets (see paper) and NB-precise rules. Get the current release of arulesNBMiner from CRAN.
  • seriation: Infrastructure for seriation with an implementation of several seriation/sequencing techniques to reorder matrices, dissimilarity matrices, and dendrograms. Get the current release of seriation from CRAN or read an introductory article on seriation.
  • TSP: Basic infrastructure and some algorithms for the traveling salesperson problem (TSP). The package provides some simple algorithms and an interface to Concorde, the currently fastest TSP solver for the Traveling Salesperson Problem. Get the current release of TSP from CRAN or read an introductory article on TSP.
  • 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.
  • recommenderlab: Provides the infrastructure to test and develop recommender algorithms. Currently the focus is on recommender systems for binary data.
• Information Systems
  • ePub^wu: An OAI-compliant publication platform for managing the university's digital PhD theses and working papers.
  • The Virtual University^wu: An educational information broker using the Virtual Library system.
• 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

• Privat
• PuTTY - SSH Client
• Google me!

© Michael Hahsler
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