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» Using symbolic objects to cluster web documents
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AIRS
2006
Springer
15 years 1 months ago
A Novel Ant-Based Clustering Approach for Document Clustering
Recently, much research has been proposed using nature inspired algorithms to perform complex machine learning tasks. Ant Colony Optimization (ACO) is one such algorithm based on s...
Yulan He, Siu Cheung Hui, Yongxiang Sim
WISE
2002
Springer
15 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
LREC
2008
140views Education» more  LREC 2008»
14 years 11 months ago
Unsupervised Relation Extraction From Web Documents
The IDEX system is a prototype of an interactive dynamic Information Extraction (IE) system. A user of the system expresses an information request in the form of a topic descripti...
Kathrin Eichler, Holmer Hemsen, Günter Neuman...
CIKM
2009
Springer
15 years 4 months ago
Potential collaboration discovery using document clustering and community structure detection
Complex network analysis is a growing research area in a wide variety of domains and has recently become closely associated with data, text and web mining. One of the most active ...
Cristian Klen dos Santos, Alexandre Evsukoff, Beat...
CCS
2010
ACM
14 years 9 months ago
Symbolic security analysis of ruby-on-rails web applications
Many of today's web applications are built on frameworks that include sophisticated defenses against malicious adversaries. However, mistakes in the way developers deploy tho...
Avik Chaudhuri, Jeffrey S. Foster