Home Kontakt Lehre Research Software


Publications with no year

Books and proceedings

Articles in journal or book's chapters

  • Hichem Frigui and Raghu Krishnapuram. On Fuzzy Algorithms for the Detection of Ellipsoidal Shell Clusters. unknown, unknown.
  • Raghu Krishnapuram, Hichem Frigui, and Olfa Nasraoui. A Fuzzy Clustering Algorithm to Detect Planar and Quadric Shapes. unknown, unknown.
    Keywords: Clustering, Fuzzy Clustering, Image Data.
    Abstract: In this paper, we introduce a new fuzzy clustering algorithm to detect an unknown number of planar and quadric shapes in noisy data. The proposed algorithm is computationally and implementationally simple, and overcomes many of the drawbacks of the existing algorithms that have been proposed for similar tasks. Since the clustering is performed in the original image space, and since no features need to be computed, this approach is particularly suited for sparse data. The algorithm may also be used in pattern recognition applications.
  • Raghu Krishnapuram and James M. Keller. Fuzzy and Possibilistic Clustering Methods for Computer Vision. unknown, unknown.
    Keywords: Clustering, Fuzzy Clustering.
  • John F. Roddick and Sally Rice. What's Interesting about Cricket? -- On Thresholds and Anticipation in Discovered Rules. SIGKDDEx, 2(2):1--5, .
    Abstract: Despite significant progress, the interestingness of a rule remains a difficult problem. This short paper investigates the lessons that may be learned from analysing the (largely manual) selection of interesting statistics for cricket (or any other data rich sport) by experts. In particular, the effect of thresholds on the interestingness of rules describing events in the sporting arena are discussed. [...]

Conference's articles

  • Eui-Hong Sam Han, George Karypis, Vipin Kumar, and Bamshad Mobasher. Clustering Based on Association Rule Hypergraphs. In Workshop on Research Issues on Data Mining and Knowledge Discovery, pages 9--13, .
    Keywords: Clustering, Association Rules.
  • Heikki Mannila. Data mining: machine learning, statistics, and databases. In , . [ URL ]
    Abstract: Knowledge discovery in databases and data mining aim at semiautomatic tools for the analysis of large data sets. We give an overview of the area and present some of the research issues, especially from the database angle.

Disclaimer

This list of publications is neither official nor complete, but a personal compilation.

Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.

This document was translated from BibTEX by bibtex2html

Home © F. Höppner last update: Tue Dec 7 08:49:56 CET 2004