Fractal Mining - Self Similarity-based Clustering and its Applications-Reference-Cited by-同舟云学术

Fractal Mining - Self Similarity-based Clustering and its Applications

Published:2009 Issue: Volume: Page:573-589
ISSN:
Container-title:Data Mining and Knowledge Discovery Handbook
language:
Short-container-title:

Author:

Barbara Daniel,Chen Ping

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-0-387-09823-4_28.pdf

Reference28 articles.

1. E. Backer. Computer-Assisted Reasoning in Cluster Analysis. Prentice Hall, 1995.

2. A. Belussi and C. Faloutsos. Estimating the Selectivity of Spatial Queries Using the ‘Correlation’ Fractal Dimension. In Proceedings of the International Conference on Very Large Data Bases, pages 299–310, September 1995.

3. P.S. Bradley, U. Fayyad, and C. Reina. Scaling Clustering Algorithms to Large Databases (Extended Abstract). In Proceedings of the ACM IGMODWorkshop on Research Issues in Data Mining and Knowledge Discovery, June 1998.

4. CDIA. U.S. Historical Climatology Network Data. http://cdiac.esd.ornl.gov/epubs/ndp019/ ushcn_r3.html .

5. H. Chernoff. A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the Sum of Observations. Annals of Mathematical Statistics, pages 493–509, 1952.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Efficient Multiresolution Clustering for Motif Discovery in Complex Networks;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2022-01-01

2. BoSS;Proceedings of the 33rd Annual ACM Symposium on Applied Computing;2018-04-09

3. Clustering of Complex Data-Sets Using Fractal Similarity Measures and Uncertainties;2015 IEEE 18th International Conference on Computational Science and Engineering;2015-10

4. Context-Aware Community: Integrating Contexts with Contacts for Proximity-Based Mobile Social Networking;2013 IEEE International Conference on Distributed Computing in Sensor Systems;2013-05

5. Analysis of large scale climate data;Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion;2013