D. Stott Parker

Affiliations: 
Computer Science University of California, Los Angeles, Los Angeles, CA 
Area:
Data Mining; Bioinformatics; Database Management and Scientific Data Management; Modeling
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"D. Parker"

Children

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Jing-Ying Chen grad student 2000 UCLA
Chang-Shing Perng grad student 2000 UCLA
Wesley T. Chuang grad student 2001 UCLA
Stanley R. Golish grad student 2002 UCLA
Serge D. Van Kriekinge grad student 2003 UCLA
Reginald L. Walker grad student 2003 UCLA
L. R. Varney grad student 2005 UCLA
Christine H. Chih grad student 2006 UCLA
Jared B. Fox grad student 2009 UCLA
Heng Yuan grad student 2009 UCLA
Ruey-Lung Hsiao grad student 2010 UCLA
Kelvin T. Leung grad student 2010 UCLA
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Publications

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Vu T, Parker DS. (2015) Node embeddings in social network analysis Proceedings of the 2015 Ieee/Acm International Conference On Advances in Social Networks Analysis and Mining, Asonam 2015. 326-329
Liu C, Chu WW, Sabb F, et al. (2015) Path knowledge discovery: Association mining based on multi-category lexicons Proceedings - 2014 Ieee International Conference On Big Data, Ieee Big Data 2014. 1049-1059
He D, Parker DS. (2013) Optimized retrieval algorithms for personalized content aggregation Proceedings of the 2013 Ieee 14th International Conference On Information Reuse and Integration, Ieee Iri 2013. 270-277
He D, Zhu X, Parker DS. (2011) How does research evolve? Pattern mining for research meme cycles Proceedings - Ieee International Conference On Data Mining, Icdm. 1068-1073
He D, Parker DS. (2011) Learning the funding momentum of research projects Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6635: 532-543
He D, Parker DS. (2010) Topic dynamics: An alternative model of 'Bursts' in streams of topics Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 443-452
Michael PA, Parker DS. (2009) The semantic space-time models of the streamonas data stream management system 2009 Wri World Congress On Computer Science and Information Engineering, Csie 2009. 4: 82-90
Yang HC, Parker DS. (2009) Traverse: Simplified indexing on large map-reduce-merge clusters Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5463: 308-322
Chih CH, Parker DS. (2008) The persuasive phase of visualization Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 884-892
Michael PA, Parker DS. (2008) Architectural principles of the "streamonas" Data Stream Management System and performance evaluation based on the linear road benchmark Proceedings - International Conference On Computer Science and Software Engineering, Csse 2008. 4: 643-646
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