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» A clustering method that uses lossy aggregation of data
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VLDB
2007
ACM
174views Database» more  VLDB 2007»
14 years 9 months ago
An adaptive and dynamic dimensionality reduction method for high-dimensional indexing
Abstract The notorious "dimensionality curse" is a wellknown phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well-known approa...
Heng Tao Shen, Xiaofang Zhou, Aoying Zhou
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
12 years 4 months ago
Sequence clustering and labeling for unsupervised query intent discovery
One popular form of semantic search observed in several modern search engines is to recognize query patterns that trigger instant answers or domain-specific search, producing sem...
Jackie Chi Kit Cheung, Xiao Li
WISE
2002
Springer
14 years 2 months ago
A Unified Framework for Clustering Heterogeneous Web Objects
In this paper, we introduce a novel framework for clustering web data which is often heterogeneous in nature. As most existing methods often integrate heterogeneous data into a un...
Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma
GVD
2009
128views Database» more  GVD 2009»
13 years 7 months ago
A Self-Adaptive Insert Strategy for Content-Based Multidimensional Database Storage
In this paper, we present the current development progress of our dynamic insert strategy based on the Intelligent Cluster Index (ICIx), which is a new type of multidimensional da...
Sebastian Leuoth, Wolfgang Benn
DAGSTUHL
2007
13 years 10 months ago
Correlation-based Data Representation
The Dagstuhl Seminar Similarity-based Clustering and its Application to Medicine and Biology (07131) held in March 25–30, 2007, provided an excellent atmosphere for in-depth disc...
Marc Strickert, Udo Seiffert