Sciweavers

960 search results - page 118 / 192
» CURE: An Efficient Clustering Algorithm for Large Databases
Sort
View
MM
2005
ACM
140views Multimedia» more  MM 2005»
15 years 9 months ago
Web image clustering by consistent utilization of visual features and surrounding texts
Image clustering, an important technology for image processing, has been actively researched for a long period of time. Especially in recent years, with the explosive growth of th...
Bin Gao, Tie-Yan Liu, Tao Qin, Xin Zheng, QianShen...
158
Voted
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 4 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
117
Voted
COMAD
2008
15 years 5 months ago
Discovering Interesting Subsets Using Statistical Analysis
In this paper we present algorithms for identifying interesting subsets of a given database of records. In many real life applications, it is important to automatically discover s...
Maitreya Natu, Girish Palshikar
269
Voted
ICDE
2009
IEEE
135views Database» more  ICDE 2009»
16 years 5 months ago
Space-Constrained Gram-Based Indexing for Efficient Approximate String Search
Abstract-- Answering approximate queries on string collections is important in applications such as data cleaning, query relaxation, and spell checking, where inconsistencies and e...
Alexander Behm, Shengyue Ji, Chen Li, Jiaheng Lu
153
Voted
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 4 months ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...