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	Castillo, Carlos     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 3 of 3 reviews       Efficient algorithms for large-scale local triangle counting Becchetti L., Boldi P., Castillo C., Gionis A. ACM Transactions on Knowledge Discovery from Data 4(3): 1-28, 2010.  Type: Article Becchetti et al. present efficient approximation algorithms that count the number of local triangles in large graphs (both undirected and directed). They suggest possible applications of the counting algorithms for Web spam detection a...... Feb 23 2011     Taxonomy-driven lumping for sequence mining Bonchi F., Castillo C., Donato D., Gionis A. Data Mining and Knowledge Discovery 19(2): 227-244, 2009.  Type: Article Taxonomy-driven data mining is a popular research area that concentrates on algorithms that operate on taxonomies. The algorithms produce concise representations of the data provided, in an efficient manner, by using the taxonomy to co...... Jan 18 2010     Finding high-quality content in social media Agichtein E., Castillo C., Donato D., Gionis A., Mishne G.  Web search and Web data mining (Proceedings of the International Conference on Web search and Web Data Mining, Palo Alto, California, Feb 11-12, 2008) 183-194, 2008.  Type: Proceedings The presented research proposes a framework for establishing a quality control system for user input into question answering (QA) systems such as Yahoo! Answers. This is a very well-presented and easy-to-read investigation into ways to...... May 15 2008
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