References related to Speed-up Issues

Articles in journal or book's chapters

Steven Eschrich, Jingwei Ke, Lawrence O. Hall, and Dmitry B. Goldgof. Fast Accurate Fuzzy Clustering Through Data Reduction. TFS, 11(2):262--270, 2003.
Keywords: Clustering, Fuzzy Clustering, Fuzzy c-Means, Image Data, Speed-up Issues. [Abstract]
Se-Ho Choi and Peter Rockett. The training of Neural Classifiers With Condensed Datasets. SMCB, 32(2):202-206, 2002.
Keywords: Classification, Nearest Neighbour Methods, Neural Networks, Speed-up Issues. [Abstract]
Frank Höppner. Speeding up Fuzzy c-Means: Using a Hierarchical Data Organisation to Control the Precision of Membership Calculation. FSS, 128(3):365--378, 2002.
Keywords: Clustering, Fuzzy c-Means, Speed-up Issues. [Abstract]
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu, Christine D. Piatko, Ruth Silverman, and Angela Y. Wu. An Efficient k-Means Clustering Algorithm: Analysis and Implementation. TPAMI, 24(7):881-892, 2002.
Keywords: Clustering, Image Data, Speed-up Issues. [Abstract]
John F. Kolen and Tim Hutcheson. Reducing the Time Complexity of the Fuzzy c-Means Algorithm. TFS, 10(2):263--267, 2002.
Keywords: Clustering, Fuzzy c-Means, Speed-up Issues. [Abstract]
Willi Klösgen. Efficient Discovery of Interesting Statements in Databases. JIIS, 4:53--69, 1995.
Keywords: Speed-up Issues. [Abstract]
Robert L. Cannon, Jitendra V. Dave, and James C. Bezdek. Efficient implementation of the fuzzy c-means clustering algorithms. TPAMI, 8(2):248--255, 1986.
Keywords: Clustering, Fuzzy c-Means, Image Data, Speed-up Issues. [Abstract]

Conference's articles

Siegfried Nijssen and Joost Kok. Faster Association Rules for Multiple Relations. In IJCAI01, Seattle, Washington, USA, pages 891--896, 2001.
Keywords: Inductive Logic Programming, Association Rules, Speed-up Issues. [Abstract]
Tapio Elomaa and Juho Rousu. Speeding up the Search for Optimal Partitions. In PKDD99, volume 1704 of LNAI, Prague, Czech Republic, pages 89--97, 1999.
Keywords: Discretization, Classification, Speed-up Issues. [Abstract]
Eamonn J. Keogh and Michael J. Pazzani. An Indexing Scheme for Fast Similarity Search in Large Time Series Databases. In Proc. of the 11th Int. Conf. on Scientific and Statistical Database Management, Cleveland, Ohio, 1999. [ URL ]
Keywords: Similarity Measures, Sequential/Temporal Data, Speed-up Issues. [Abstract]
Doron Hershfinkel and Its'hak Dinstein. Accelerated Fuzzy C-Means Clustering Algorithm. In B. Bosachi and James C. Bezdek, editors, Proceedings SPIE Applications of Fuzzy Logic Technology III, volume 2761, pages 41--52, 1996.
Keywords: Clustering, Fuzzy c-Means, Speed-up Issues. [Abstract]
Tai Wai Cheng, Dimitry B. Goldgof, and Lawrence O. Hall. Fast Clustering with Application to Fuzzy Rule Generation. In Proceedings of the 4th IEEE International Conference on Fuzzy Systems, Yokohama, Japan, pages 2289--2295, 1995.
Keywords: Sampling, Classification, Clustering, Fuzzy c-Means, Rule Generation, Image Data, Speed-up Issues. [Abstract]
Christos Faloutsos, M. Ranganathan, and Yannis Manolopoulos. Fast Subsequence Matching in Time-Series Databases. In MD94, 1994.
Keywords: Sequential/Temporal Data, Speed-up Issues. [Abstract]
B. Uma Shankar and N.R. Pal. FFCM: An effective approach for large data sets. In Proceedings of the 3rd International Conference on Fuzzy Logic, Neural Nets and Soft Computing, Iizuka, Japan, pages 331--332, 1994.
Keywords: Sampling, Clustering, Fuzzy c-Means, Speed-up Issues. [Abstract]

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last update: Tue Dec 7 08:49:56 CET 2004