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PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
16 years 1 months ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
IDA
2009
Springer
16 years 1 months ago
How to Control Clustering Results? Flexible Clustering Aggregation
One of the most important and challenging questions in the area of clustering is how to choose the best-fitting algorithm and parameterization to obtain an optiml clustering for t...
Martin Hahmann, Peter Benjamin Volk, Frank Rosenth...
ICDM
2008
IEEE
137views Data Mining» more  ICDM 2008»
16 years 1 months ago
Stream Sequential Pattern Mining with Precise Error Bounds
Sequential pattern mining is an interesting data mining problem with many real-world applications. This problem has been studied extensively in static databases. However, in recen...
Luiz F. Mendes, Bolin Ding, Jiawei Han
ICDE
2005
IEEE
144views Database» more  ICDE 2005»
16 years 8 months ago
ViteX: A Streaming XPath Processing System
We present ViteX, an XPath processing system on XML streams with polynomial time complexity. ViteX uses a polynomial-space data structure to encode an exponential number of patter...
Yi Chen, Susan B. Davidson, Yifeng Zheng
MM
2004
ACM
99views Multimedia» more  MM 2004»
16 years 4 days ago
Locality preserving clustering for image database
It is important and challenging to make the growing image repositories easy to search and browse. Image clustering is a technique that helps in several ways, including image data ...
Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xuey...