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» Automatic Detection of Structural Changes in Data Warehouses
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CIKM
2006
Springer
13 years 9 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu
IUI
2006
ACM
14 years 1 months ago
Recovering semantic relations from web pages based on visual cues
Recovering semantic relations between different parts of web pages are of great importance for multi-platform web interface development, as they make it possible to re-distribute ...
Peifeng Xiang, Yuanchun Shi
SOSP
2009
ACM
14 years 4 months ago
Improving application security with data flow assertions
RESIN is a new language runtime that helps prevent security vulnerabilities, by allowing programmers to specify application-level data flow assertions. RESIN provides policy obje...
Alexander Yip, Xi Wang, Nickolai Zeldovich, M. Fra...
BMCBI
2006
114views more  BMCBI 2006»
13 years 7 months ago
A high level interface to SCOP and ASTRAL implemented in Python
Background: Benchmarking algorithms in structural bioinformatics often involves the construction of datasets of proteins with given sequence and structural properties. The SCOP da...
James A. Casbon, Gavin E. Crooks, Mansoor A. S. Sa...
BMCBI
2010
129views more  BMCBI 2010»
13 years 7 months ago
A temporal precedence based clustering method for gene expression microarray data
Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in m...
Ritesh Krishna, Chang-Tsun Li, Vicky Buchanan-Woll...