Dr. Qin Ding's Publications


Arunprasad Sundharam and Qin Ding, "Implementation of BERT based Machine Learning Model to Extract Cancer-miRNA Relationship from Research Literature", Proceedings of 2021 International Conference on Software Engineering and Data Engineering, EPiC Series in Computing, Vol. 77, 2021.

Oliver Eulenstein, Qin Ding, Hisham Al-Mubaid (guest editors), Journal of Bioinformatics and Computational Biology, Vol. 19, No. 1, 2021.

Hui Guo and Qin Ding, "A Framework for Word Segmentation in Images using Density-based Clustering", International Conference on Computers and Their Applications, 2020.

Qin Ding, Oliver Eulenstein, Hisham Al-Mubaid (Editors), Proceedings of 2020 International Conference on Bioinformatics and Computational Biology, EPiC Series in Computing, Vol. 70, 2020.  (link)

Qin Ding, Oliver Eulenstein, Hisham Al-Mubaid (guest editors), Journal of Bioinformatics and Computational Biology, Vol. 17, No. 6, 2019.

Oliver Eulenstein, Hisham Al-Mubaid, Qin Ding (Editors), Proceedings of 2019 International Conference on Bioinformatics and Computational Biology, EPiC Series in Computing, Vol. 60, 2019.  (link)

Patrick Rider and Qin Ding, "Data Mining Applications on Biomechanical Data", International Conference on Computer Applications in Industry and Engineering, 2018.

Kailyn Kieffer and Qin Ding, "Comparing Evolutionary Algorithms using KEEL", International Conference on Computers and Their Applications, 2018.

Hisham Al-Mubaid, Qin Ding, Oliver Eulenstein (guest editors), Journal of Bioinformatics and Computational Biology, Vol. 16, No. 6, 2018.

Hisham Al-Mubaid, Qin Ding, Oliver Eulenstein (Editors), Proceedings of 2018 International Conference on Bioinformatics and Computational Biology, 2018.

Qin Ding and Robert Boykin, "A Framework for Distributed Nearest Neighbor Classification Using Hadoop", Journal of Computational Methods in Science and Engineering, 17(2017), S11-S19.

Oliver Eulenstein, Qin Ding, Hisham Al-Mubaid (guest editors), Journal of Bioinformatics and Computational Biology, Vol. 15, No. 6, 2017. 

Oliver Eulenstein, Qin Ding, Hisham Al-Mubaid (Editors), Proceedings of 2017 International Conference on Bioinformatics and Computational Biology, 2017.

Roman Pawlak, Qin Ding, Marta Sovyanhadi, "Vegetarian children and adolescents' anthropometric characteristics do not significantly differ from their non-vegetarian counterparts", Journal of Integrative Food, Nutrition & Metabolism, 4(3):1-4, 2017.

Hui Guo and Qin Ding, "miRDiabetes: A microRNA-Diabetes Association Database Constructed by Classification on Literature", International Conference on Bioinformatics and Computational Biology, 2016.

Robert Boykin and Qin Ding, "Parallel K-Nearest Neighbor Classification Using Hadoop", International Conference on Computer Applications in Industry and Engineering, pp. 17-22, 2015.

John Stiller, John Schreiber, Jipei Yue, Hui Guo, Qin Ding, and Jinling Huang, "The evolution of photosynthesis in chromist algae through serial endosymbioses", Nature Communications, 5:5764, doi:10.1038/ncomms6764, 2014.   (link)

Boya Xie, Qin Ding, and Di Wu, "Text Mining on Big and Complex Biomedical Literature", in Big Data Analytics in Bioinformatics and Healthcare, ed. B. Wang, R. Li, and W. Perrizo, IGI Global, pp. 21-45, 2014.

Roman Pawlak, Qin Ding, and Marta Sovyanhadi, "Pregnancy Outcome and Breastfeeding Pattern among Vegans, Vegetarians and Non-Vegetarians", Enliven: Journal of Dietetics Research and Nutrition, 1(1):004, 2014.

April Sharp, Roman Pawlak, Qin Ding, "Weight Status and Growth Patterns Among Children With Autism Living in North Carolina", Topics in Clinical Nutrition, Vol. 29, No. 1, pp. 10-14, 2014.

Shravanth Oruganti, Qin Ding, Nesseh Tabrizi, "Exploring HADOOP as a Platform for Distributed Association Rule Mining", International Conference on Future Computational Technologies and Applications, Valencia, Spain, pp. 62-67, 2013.

Boya Xie, Qin Ding, Hongjin Han and Di Wu, "miRCancer: a microRNA-cancer association database constructed by text mining on literature", Bioinformatics, Vol. 29, Issue 5, pp. 638-644, 2013. (link)

Bo Stendal Sorensen and Qin Ding, "A Framework for Real-Time Spam Detection on Twitter", International Conference on Computers and Their Applications, Honolulu, Hawaii, pp. 15-20, 2013.

Qin Ding, Cindy Putnam-Evans and Susan Ganter, "STEM Girls at East Carolina University", poster at Bridging the Gap Conference, 2012.

Evelyn Brown, Qin Ding, Mary Farwell, Susan Ganter, Leslie Pagliari, Cindy Putnam-Evans and Margaret Wirth, "STEM Girls - Faculty Efforts to Engage Girls in STEM", poster at the ORAU (Oak Ridge Associated Universities) Annual Meeting, 2012.

Qin Ding and Gnanasekaran Sundarraj, "Frequent Pattern Discovery and Association Rule Mining of XML Data", in XML Data Mining: Models, Methods, and Applications, ed. Andrea Tagarelli, IGI Global, 2011, pp. 243-263.

Jing Tian, Guiling Sun, Qin Ding, Jinling Huang, Shravanth Oruganti, Boya Xie, "AlienG: An Effective Computational Tool for Phylogenomic Identification of Horizontally Transferred Genes", International Conference on Bioinformatics and Computational Biology, New Orleans, LA, 2011, pp. 13-18.

Boya Xie, Robert Hochberg, Qin Ding and Di Wu, "MIRSAT & MIRCDB: An Integrated microRNA Sequence Analysis Tool and a Cancer-associated microRNA Database", International Conference on Bioinformatics and Computational Biology, Honolulu, Hawaii, 2010, pp. 159-164.

John W Stiller, Jinling Huang, Qin Ding, Jing Tian and Carol Goodwillie, "Are algal genes in nonphotosynthetic protists evidence of historical plastid endosymbioses?", BMC Genomics, 10:484, 2009.  (link)

David Hooks and Qin Ding, "A Framework for Data Mining on Combinatorial Game Theory", Journal of Computational Methods in Sciences and Engineering, Vol 9, Supplement 1, 2009, pp. 91-98.

Baoying Wang, Qin Ding, Imad Rahal, "Parallel Hierarchical Clustering on Market Basket Data", IEEE International Workshop on High Performance Data Mining, in conjunction with IEEE International Conference on Data Mining, Pisa, Italy, 2008, pp. 526-532.

Qin Ding, Qiang Ding, and William Perrizo, "PARM - An Efficient Algorithm to Mine Association Rules from Spatial Data", IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, Vol 38, No. 6, 2008, pp. 1513-1524.  (link)

David Hooks and Qin Ding, "Bayesian Classification in Combinatorial Game Theory", International Conference on Software Engineering and Data Engineering, Los Angeles, CA, 2008, pp. 7-12.

Qin Ding and Wen Shen Huang, "VP: An Efficent Algorithm for Frequent Itemset Mining", International Conference on Software Engineering and Knowledge Engineering, San Francisco, CA, 2008, pp. 381-386.

Qin Ding, "Data Mining on XML Data", in Encyclopedia of Data Warehousing and Mining, 2nd edition, Vol. 1, ed. John Wang, IGI Global, 2008, pp. 506-510.

William Perrizo, Qiang Ding, Qin Ding and Taufik Abidin, "Vertical Data Mining on Very Large Data Sets", in Encyclopedia of Data Warehousing and Mining, 2nd edition, Vol. 4, ed. John Wang, IGI Global, 2008, pp. 2036-2041.

Qin Ding and Gnanasekaran Sundarraj, "Mining Association Rules from XML Data", in Data Mining and Knowledge Discovery Technologies,  ed. David Taniar, IGI Global, 2008. pp. 59-71.

Qin Ding and William Perrizo, "Support-less Association Rule Mining Using Tuple Count Cube", Journal of Information and Knowledge Management, 6(4), 2007, pp. 271-280 .

William Perrizo, Qin Ding, Maleq Khan, Anne Denton, and Qiang Ding, "An Efficient Weighted Nearest Neighbor Classifier using Vertical Data Representation", International Journal of Business Intelligence and Data Mining, 2(1), 2007, pp. 64-78.

Qin Ding and Gnanasekaran Sundarraj, "Association Rule Mining from XML Data", International Conference on Data Mining, Las Vegas, Nevada, 2006, pp. 144-150.

Kevin Ricords and Qin Ding, "XINDEX - XPATH Indexing Specification for XML", International Conference on Software Engineering and Data Engineering, Los Angeles, CA, 2006, pp. 228-233.

Qin Ding and Mufit Colpan, "Decision Tree Induction on Hyper-Spectral Cement Images", International Journal of Computational Intelligence, 2(3), 2006, pp. 169-175.

Qin Ding and Charles Daniel, "Multimedia Data Mining Framework for Banner Imagers", in Multimedia Data Mining and Knowledge Discovery, ed. Valery Al Petrushin and Latifur Khan, Springer, 2006, pp. 448-457.

Qin Ding and Jim Gasvoda, "A Genetic Algorithm for Clustering on Image Data", International Journal of Computational Intelligence, 1(1), 2005, pp. 75-80.

William Perrizo, Qiang Ding, Qin Ding and Taufik Abidin, "Vertical Data Mining", in Encyclopedia of Data Warehousing and Mining, 1st edition, ed. John Wang, Idea Group Publishing, 2005, pp. 1181-1184.

Charles Daniel and Qin Ding, "A Framework for Bayesian Classification on Banner Images", ACM KDD Workshop on Multimedia Data Mining, Seattle, WA, 2004, pp. 61-66.

Qin Ding and Bhavin Parikh, "A Model for Multi-relational Data Mining on Demand Forecasting", International Conference on Intelligent & Adaptive Systems, and Software Engineering, Nice, France, 2004, pp. 1-5.

Jim Gasvoda and Qin Ding, "A Genetic Algorithm for Clustering on Very Large Datasets", International Conference on Computer Applications in Industry and Engineering, Las Vegas, Nevada, 2003, pp. 163-167.

Qin Ding, Kevin Ricords, and Jeremy Lumpkin, "Deriving General Association Rules from XML Data", International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, Lubeck, Germany, 2003, pp. 348-352.

William Perrizo, Qin Ding, Anne Denton, Kirk Scott, Qiang Ding, and Maleq Khan, "PINE - Podium Incremental Neighbor Evaluator for Classifying Spatial Data", ACM Symposium on Applied Computing, Melbourne, Florida, 2003, pp. 503-508.

Anne Denton, Qiang Ding, William Perrizo, and Qin Ding, "Efficient Hierarchical Clustering of Large Data Sets Using P-trees", International Conference on Computer Applications in Industry and Engineering, San Diego, CA, 2002, pp. 138-141.

William Perrizo, Qin Ding, and Anne Denton, "Lazy Classifiers Using P-trees", International Conference on Computer Applications in Industry and Engineering, San Diego, CA, 2002, pp. 176-179.

Qin Ding, Qiang Ding and William Perrizo, "Association Rule Mining on Remotely Sensed Images Using P-trees", PAKDD 2002, Springer-Verlag, Lecture Notes in Artificial Intelligence 2336, 2002, pp. 66-79.

Maleq Khan, Qin Ding and William Perrizo, "K-nearest Neighbor Classification on Spatial Data Stream Using P-trees", PAKDD 2002, Springer-Verlag, Lecture Notes in Artificial Intelligence 2336, 2002, pp. 517-528.

Qin Ding, Maleq Khan, Amalendu Roy and William Perrizo, "The P-tree Algebra", ACM Symposium on Applied Computing, Madrid, Spain, March 2002, pp. 426-431.

Qiang Ding, Qin Ding and William Perrizo, "Decision Tree Classification of Spatial Data Streams Using Peano Count Trees", ACM Symposium on Applied Computing, Madrid, Spain, 2002, pp. 413-417.

William Perrizo, Qin Ding, Qiang Ding and Amalendu Roy, "On Mining Satellite and Other Remotely Sensed Images", ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, Santa Barbara, California, 2001, pp. 33-40.

William Perrizo, Qin Ding, Qiang Ding and Amalendu Roy, "Deriving High Confidence Rules from Spatial Data using Peano Count Trees", International Conference on Web-Age Information Management, Springer-Verlag, Lecture Notes in Computer Science 2118, 2001, pp. 91-102.

Qin Ding and William Perrizo, "Using Active Networks in Parallel Mining of Association Rules", International Conference on Information Reuse and Integration, Honolulu, Hawaii, 2000, pp. 58-61.

Qin Ding, William Perrizo, Kaushik Das and Qinghua Zou, "Data Mining Applications on Large RSI data", IFIP Congress 2000, Beijing, China, pp. 891-897.

Qinghua Zou, Qin Ding and William Perrizo, "Fast Approach for Association Rule Mining on Remotely Sensed Imagery", International Conference on Computers and Their Applications, New Orleans, Louisiana, 2000, pp. 98-101.

Jianning Dong, William Perrizo, Qin Ding and Jingkai Zhou, "The Application of Association Rule Mining to Remotely Sensed Data", ACM Symposium on Applied Computing, Como, Italy, 2000, pp 340-345.

Kaushik Das, William Perrizo and Qin Ding, "Using Neural Networks for Clustering on RSI data and Related Spatial Data", International Conference on Information Reuse and Integration, Honolulu, Hawaii, 2000, pp. 111-116.

Qinghua Zou, Kirk Scott, Qin Ding and William Perrizo, "DLOTS: A Distributed Level Ordered Transaction Scheduler", International Conference on Parallel and Distributed Computing Systems, Las Vegas, Nevada, 2000.

Shian Zhang, William Perrizo and Qin Ding, "Reposting Algorithms for Request Order Concurrency Control", International Conference on Computer Applications in Industry and Engineering, Honolulu, Hawaii, 2000, pp. 161-164.

Qinghua Zou, William Perrizo and Qin Ding, "Level Ordered Transaction Scheduler (LOTS) for Concurrency Control", International Conference on Computers and Their Applications, New Orleans, Louisiana, 2000, pp. 88-91.

Tanya Jane, William Perrizo and Qin Ding, "Multiversion Post Ordering: A New Concurrency Control Method", International Conference on Computer Applications in Industry and Engineering, Honolulu, Hawaii, 2000, pp. 9-12.

Tianni Ni, Qin Ding and Zhaohui Meng, "An Ordering Analysis Method for Knowledge Base Coordinatality Maintenance based on Relation Construction", Journal of Mini-Micro Systems, Vol. 16, No. 4, Apr. 1995, pp. 22-26. 

Tianni Ni, Qin Ding and Dingsheng Wan, "Algorithm and Design of Nonlinear Isohyet Generating System KRIGS", Journal of Hohai University, Vol. 23, No. 2, 1995, pp. 45-49.

Weihua Wu, Zhuhua Li and Qin Ding, Data Sharing, Exchange and Recovery Techniques of Micro Computers, Nanjing University Press, 1994.

Qin Ding and Jiafu Xu, "Explanation-based Program Transformation", Journal of Computers, No. 12, Vol. 15, Dec. 1992, pp. 881-888. 

Jiafu Xu, Daoxu Chen, Jian Lu, Zhijian Wang, Zongming Fei, Yousong Zhang, Qin Ding and Yingchung Zhu, "On the Design and Implementation of NDSAIL: A Software Automation  System with Automated Learning Mechanisms", IFIP Congress 92, Vol. 1, Madrid, Spain, Sept. 1992, pp. 186-192.

Jiafu Xu, Daoxu Chen, Jian Lu, Zhijian Wang, Zongming Fei, Yousong Zhang, Qin Ding and Yingchung Zhu, "NDSAIL: A Software Automation  System with Automated Learning Mechanisms", Journal of Computers, No. 11, Vol. 15, Nov. 1992.