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DKE
2006
67views more  DKE 2006»
13 years 9 months ago
Indexed-based density biased sampling for clustering applications
Density biased sampling (DBS) has been proposed to address the limitations of Uniform sampling, by producing the desired probability distribution in the sample. The ease of produc...
Alexandros Nanopoulos, Yannis Theodoridis, Yannis ...
DKE
2006
118views more  DKE 2006»
13 years 9 months ago
Clustering e-commerce search engines based on their search interface pages using WISE-Cluster
In this paper, we propose a new approach to clustering e-commerce search engines (ESEs) on the Web. Our approach utilizes the features available on the interface page of each ESE,...
Yiyao Lu, Hai He, Qian Peng, Weiyi Meng, Clement T...
DKE
2006
83views more  DKE 2006»
13 years 9 months ago
Bulk insertion for R-trees by seeded clustering
We propose a scalable technique called Seeded Clustering that allows us to maintain R-tree indices by bulk insertion while keeping pace with high data arrival rates. Our approach ...
Taewon Lee, Bongki Moon, Sukho Lee
DKE
2006
138views more  DKE 2006»
13 years 9 months ago
Using the uni-level description (ULD) to support data-model interoperability
We describe a framework called the Uni-Level Description (ULD) for accurately representing information from a broad range of data models. The ULD extends previous metadata-model a...
Shawn Bowers, Lois M. L. Delcambre
DKE
2006
122views more  DKE 2006»
13 years 9 months ago
Sampling, information extraction and summarisation of Hidden Web databases
Hidden Web databases maintain a collection of specialised documents, which are dynamically generated in response to users' queries. The majority of these documents are genera...
Yih-Ling Hedley, Muhammad Younas, Anne E. James, M...