Fordham University            The Jesuit University of New York
 


Dr. Yanjun Li
Assistant Professor
Associate Chair for Graduate Studies

Department of Computer & Information Sciences
402B John Mulcahy Hall
441 East Fordham Road, Bronx NY 10458
Email: yli(at)cis.fordham.edu
Phone: 718-817-0505

Dr. Li's Homepage
Dr. Li's Short CV


Bio

Dr. Yanjun Li is an assistant professor of Computer and Information Science at Fordham University. Dr. Li earned her M.S. and Ph.D. degree in Computer Science from Wright State University. Dr. Li has published journal and conference papers in the areas of text mining, data mining, artificial intelligence, and parallel computing. She is considered an expert in the area of data mining and information retrieval.

Research

My primary research area is data mining and knowledge discovery. Data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into implicit, previously unknown, and potentially useful information. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases.

I am specially interested in studying text mining algorithms, applying parallel and distributed computing techniques in data mining area. My recent work has focused on text clustering, text classification, and ontology building. I have also been doing research on parallel text mining algorithms.

Selected Publications

  • Yanjun Li, D. Frank Hsu, and S.M. Chung (2013). "Combination of Multiple Feature Selection Methods for Text Categorization by Using Combinatorial Fusion Analysis and Rank-Score Characteristic", International Journal on Artificial Intelligence Tools (IJAIT), 22(2)

  • Yanjun Li, Congnan Luo, and S.M. Chung (2012). "Weighted Naive Bayes for Text Classification Using Positive Term-Class Dependency", International Journal on Artificial Intelligence Tools (IJAIT), 21(1)

  • Yanjun Li, Ningtao Shi, and D. Frank Hsu (2011). "Fusion Analysis of Information Retrieval Models on Biomedical Collections ", The 14th International Conference on Information Fusion (Fusion 2011), Chicago, IL, July 2011.

  • Congnan Luo, Yanjun Li, and S.M. Chung (2009). "Text Document Clustering Based on Neighbors", Data and Knowledge Engineering (DKE), 68(11)

  • Christina Schweikert, Yanjun Li, David Dayya, David Yens, Martin Torrents and D. Frank Hsu (2009). "Analysis of Autism Prevalence and Neurotoxins Using Combinatorial Fusion and Association Rule Mining ", The 9th IEEE International Conference on Bioinformatics and Bioengineering (BIBE) 2009 , Taiwan, November 2009.

  • Yanjun Li, D. Frank Hsu, and S.M. Chung (2009). "Combining Multiple Feature Selection Methods for Text Categorization by Using Rank-Score Characteristics ", The 21st IEEE International Conference on Tools with Artificial Intelligence (ICTAI) 2009, Newark, New Jersey, November 2009.

  • Yanjun Li, Congnan Luo, and S.M. Chung (2008). "Text Clustering with Feature Selection by Using Statistical Data", IEEE Trans. on Knowledge and Data Engineering (TKDE), 20(5)

  • Yanjun Li, Soon M. Chung and John D. Holt (2008). "Text Document Clustering Based on Frequent Word Meaning Sequences", Data & Knowledge Engineering,

  • Yanjun Li and Soon M. Chung (2007). "Parallel Bisecting K-means with Prediction Clustering Algorithm", The Journal of Supercomputing, 39(1)

  • John D. Holt, Soon M. Chung and Yanjun Li (2007). "Usage of Mined Word Associations for Text Retrieval", The 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI) 2007, Patras, Greece, October 2007.

  • Yanjun Li and Soon M. Chung (2005). "Text Document Clustering Based on Frequent Word Sequences", Proc. of International Conference on Information and Knowledge Management - CIKM 2005. ACM Press, Bremen, Germany.

 

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