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SAC
2008
ACM
13 years 7 months ago
Efficient concept clustering for ontology learning using an event life cycle on the web
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
Sangsoo Sung, Seokkyung Chung, Dennis McLeod
SIGIR
2008
ACM
13 years 7 months ago
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and mach...
Dingding Wang, Tao Li, Shenghuo Zhu, Chris H. Q. D...
SIGIR
2008
ACM
13 years 7 months ago
Efficient top-k querying over social-tagging networks
Online communities have become popular for publishing and searching content, as well as for finding and connecting to other users. User-generated content includes, for example, pe...
Ralf Schenkel, Tom Crecelius, Mouna Kacimi, Sebast...
IR
2007
13 years 7 months ago
Learning-based summarisation of XML documents
Documents formatted in eXtensible Markup Language (XML) are available in collections of various document types. In this paper, we present an approach for the summarisation of XML d...
Massih-Reza Amini, Anastasios Tombros, Nicolas Usu...
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
14 years 16 days ago
On the appropriateness of evolutionary rule learning algorithms for malware detection
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...