Vasileios 'Bill' Kandylas
Βασίλειος Κανδύλας
Computer and Information
Science
School of Engineering and Applied
Science
University of Pennsylvania
kandylas @ seas.upenn.edu
I am a Ph.D. candidate under the supervision
of Lyle Ungar.
Research interests
My interests lie in artificial intelligence, machine learning and data
mining. For my thesis, I am concentrating in clustering and specifically
online, few-pass and multi-way clustering and applications to document
and text mining.
Publications
Papers
Analyzing knowledge communities using
foreground and background clusters,
Vasileios Kandylas, S. Phineas Upham and Lyle Ungar
ACM Transactions on Knowledge Discovery from Data, Submitted
Multiway clustering for creating
biomedical term sets,
Vasileios Kandylas, Lyle Ungar, Ted Sandler and Shane Jensen
IEEE International Conference on Bioinformatics and Biomedicine,
Philadelphia, PA, 2008
Finding cohesive clusters for analyzing
knowledge communities,
Vasileios Kandylas, S. Phineas Upham and Lyle Ungar
Seventh IEEE International Conference on Data Mining, Omaha, NE,
2007
Journal version in Knowledge and
Information Systems, DOI 10.1007/s10115-008-0135-5
Winner-Take-All EM Clustering,
Vasileios Kandylas, Lyle Ungar and Dean Foster
North East Student Colloquium on Artificial Intelligence}, Ithaca, NY,
2007
Other work
Projective clustering of high dimensional
data,
Vasileios Kandylas
WPE-II report. 2007
Software
An implementation
of the Streemer algorithm in Matlab.
Teaching Assistance
CIS
112 - Networked Life, Spring 2009.
CIS 502 - Analysis of
Algorithms, Spring 2007.
CIS 520 - Introduction to
Artificial Intelligence, Fall 2006.
CSE 399-005
- Python Programming, Spring 2006.
CSE 399-002 - C/C++
Programming, Spring 2006.
CSE 371 - Digital Systems
Organization and Design, Spring 2004.
CIS 501 - Computer
Architecture, Fall 2003.
Relevant links
Machine learning at Penn
Machine learning
lunch
Data mining wiki