October 3, 2015 20:36:29


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The following is a list of publications related to our lab.

  1. R. Angryk, M.S. Hossain, B. Norick, “Semantically-Guided Clustering of Text Documents via Frequent Subgraphs Discovery”, M. Kryszkiewicz, H. Rybinski, A. Skowron, Z.W. Ras (Eds.), Foundations of Intelligent Systems, Series: Lecture Notes in Computer Science (LNCS), Vol. 6804, Springer-Verlag, 2011, XIX, 746 p., ISBN: 978-3-642-21915-3, pp. 407-417.
  2. P.C.H. Martens, G.D.R. Attrill, A.R. Davey,A. Engell, S. Farid, P.C. Grigis, J. Kasper, K. Korreck, S.H. Saar, A. Savcheva, Y. Su, P. Testa, M. Wills-Davey, P.N. Bernasconi, N.-E. Raouafi, V.A. Delouille, J.F. Hochedez, J.W. Cirtain, C.E. DeForest, R.A. Angryk, I. De Moortel, T. Wiegelmann, M.K. Georgoulis, R.T.J. McAteer, R.P. Timmons, “Computer Vision for the Solar Dynamics Observatory (SDO)”, Solar Physics, Springer-Verlag, pp. 1-35, URL: http://dx.doi.org/10.1007/s11207-010-9697-y, published online: January 7, 2011.
  3. R. Angryk, J. Czerniak, “Heuristic Algorithm for Interpretation of Multi-Valued Attributes in Similarity-based Fuzzy Relational Databases”, International Journal of Approximate Reasoning, Vol. 51 (8), Elsevier, October 2010, ISSN: 0888-613X, pp. 895-911.
  4. R. Angryk, “Attribute-Oriented Defuzzification of Fuzzy Database Tuples with Conjunctive Interpretation of Categorical Entries”, Control and Cybernetics, Vol. 38 (2), Polish Academy of Sciences, June 2009, ISSN: 0324-8569, pp. 419-453.
  5. R. McAllister, R. Angryk, “An Efficient Abstraction-Based Data Model for Information Retrieval”, Ann E. Nicholson, Xiaodong Li (Eds.) Advances in Artificial Intelligence, Series: Lecture Notes in Computer Science (LNCS), Vol. 5866, Springer-Verlag, 2009, ISBN: 978-3-642-10438-1, pp. 567-576.
  6. B. Wall, N. Richter, R. Angryk, “Generating Concept Hierarchies from User Queries”, T.Y. Lin, Y. Xie, A. Wasilewska, C.-J. Liau (Eds.), Data Mining: Foundations and Practice, Series: Studies in Computational Intelligence, Vol. 118, Springer-Verlag, 2008, XVI, 562 p. 129 illus., Hardcover, ISBN: 978-3-540-78487-6, pp. 423-442.
  7. M.S. Hossain, R. Angryk, “Algorithm for Defuzzification of Multi-Valued Taxonomic Attributes in Similarity-Based Fuzzy Relational Databases”, O. Castillo, P. Melin, O.M. Ross, R.S. Cruz, W. Pedrycz, J. Kacprzyk (Eds.), Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, Series: Advances in Soft Computing (ASC), Vol. 42, Springer-Verlag, 2007, XXI, 895 p., ISBN: 3-540-72433-9, pp. 23-35.
  8. B. Wall, R. Angryk, “Minimal Data Sets vs. Synchronized Data Copies in a Schema and Data Versioning System”, Proceedings of the 20th ACM Conference on Information and Knowledge Management (ACM-CIKM ’11), 4th Workshop for Ph.D. Students in Information and Knowledge Management (PIKM ’11) , Glasgow, United Kingdom, October 2011, to appear.
  9. M. Schuh, J. Sheppard, S. Strasser, R. Angryk, C. Izurieta, “Ontology-Guided Knowledge Discovery of Event Sequences in Maintenance Data” Proceedings of the IEEE Aerospace and Electronic Systems Society and Instrumentation and Measurement Society 2011 (IEEE-AUTOTESTCON ’11), Baltimore, Maryland, September 2011, pp. 279-285. Best Student Paper Award Winner!
  10. J.M. Banda, R.A. Angryk, P. Martens, “On the Surprisingly Accurate Transfer of Image Parameters between Medical and Solar Images”, Proceedings of the 18th IEEE International Conference on Image Processing (ICIP-IEEE ’11), Brussels, Belgium, September 2011, pp. 3730-3733.
  11. S. Strasser , J. Sheppard, M. Schuh, R. Angryk, C. Izurieta, “Graph-Based Ontology-Guided Data Mining for D-Matrix Model Maturation” Proceedings of the IEEE Aerospace Conference (IEEE-AS ’11), Big Sky, Montana, March 2011, pp. 1-12.
  12. A Roy, C. Sarkar, R. Angryk, “Using Taxonomies to Perform Aggregated Querying over Imprecise Data”, Proceedings of the 10th IEEE International Conference on Data Mining Workshops (ICDMW-IEEE ’10), Workshop on Domain Driven Data Mining, Sydney, Australia, December 2010, pp. 989-996.
  13. J. M. Banda, R. A. Angryk, “Selection of Image Parameters as the First Step Towards Creating a CBIR System for the Solar Dynamics Observatory”, Proceedings of the 12th International Conference on Digital Image Computing: Techniques and Applications (DICTA ’10), Sydney, Australia, December 2010, pp. 528-534.
  14. J. M. Banda, R. Angryk, “Usage of Dissimilarity Measures and Multidimensional Scaling for Large Scale Solar Data Analysis”, Proceedings of the 2nd NASA’s Conference on Intelligent Data Understanding (CIDU ’10), Mountain View, California, October 2010, pp. 189-203.
  15. R. McAllister, R. Angryk, “Evaluation of Abstraction-Based Data Models for Text via Supervised Learning Methods”, Towards Natural Language Based Data/Text Mining and Summarization via Soft Approaches, Symposium at the SIAM SDM 2010 Conference, Columbus, Ohio, April 2010, pp. 55-63.
  16. J. M. Banda, R. Angryk, “An Experimental Evaluation of Popular Image Parameters for Monochromatic Solar Image categorization”, Proceedings of the 23rd International FLAIRS Conference (FLAIRS ’10), Daytona Beach, Florida, May 2010, pp. 380-385.
  17. J. M. Banda, R. Angryk, “On the Effectiveness of Fuzzy Clustering as a Data Discretization Technique for Large-scale Classification of Solar Images”, Proceedings of the 18th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE ’09), Jeju Island, Korea, August 2009, pp. 2019-2024.
  18. M. Akbar, R. Angryk “Frequent Pattern-Growth Approach for Document Organization”, Proceedings of 17th ACM Conference on Information and Knowledge Management (ACM-CIKM ’08) , Int. Workshop on Ontologies and Information Systems for Semantic Web, Napa Valley, CA, USA, October 2008, pp. 77-82.
  19. R. Lamb, R. Angryk, P. Martens “An Example-based Image Retrieval System for the TRACE Repository”, Proceedings of the 19th International Conference on Pattern Recognition (ICPR ’08), Tampa, FL, USA, December 2008, pp. 1-4.
  20. M.S. Hossain, R. Angryk, “GDClust: A Graph-Based Clustering Technique for Text Documents”, Proceedings of the 7th IEEE International Conference on Data Mining (ICDM-IEEE ’07), Workshop on Mining Graphs and Complex Structures, Omaha, NE, USA, October 2007, pp. 417-422.
  21. M.S. Hossain, M. Akbar, R. Angryk, “Sense Based Organization of Descriptive Data”, Proceedings of the IEEE International Conference on Systems, Man & Cybernetics (SMC-IEEE ’07), Montreal, Canada, October 2007, pp. 468-473.
  22. S. Wan, R. Angryk, “Measuring Semantic Similarity Using WordNet-based Context Vectors”, Proceedings of the IEEE International Conference on Systems, Man & Cybernetics (SMC-IEEE ’07), Montreal, Canada, October 2007, pp. 908-913.
  23. M.S. Hossain, R. Angryk, “Heuristic Algorithm for Interpretation of Non-Atomic Categorical Attributes in Similarity-based Fuzzy Databases – Scalability Evaluation”, Proceedings of the NAFIPS 2007 Conference (NAFIPS ’07), San Diego, CA, USA, June 2007, pp. 233-238.
  24. D. Deb, R. Angryk, “Effective and Efficient Distributed Document Clustering”, Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining (CIDM-IEEE ’07), Hawaii, USA, April 2007, pp. 376-383.
  25. R. Angryk, “Similarity-driven Defuzzification of Fuzzy Tuples for Entropy-based Data Classification Purposes”, Proceedings of the 15th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE ’06), a part of 2006 (4th) IEEE World Congress on Computational Intelligence, Vancouver, Canada, July 2006, pp. 1490-1498.
  26. J. Dolan, R. Angryk, “Automated Generalization of Fuzzy Concept Hierarchies for Attribute-Oriented Induction Purposes”, Proceedings of the 24th International Conference on Databases and Applications (DBA ’06), Innsbruck, Austria, February 2006, pp. 66-74.
  27. D. Deb, M. Fuad, R. Angryk, “On Distributed Hierarchical Clustering of Text Documents,” Proceedings of the IASTED International Conference on Advances In Computer Science And Technology (ACST ’06), Puerto Vallarta, Mexico, January 2006, pp. 328-333.
  28. B. Wall, N. Richter, R. Angryk, “Creating Concept Hierarchies in an Information Retrieval System,” Proceedings of the 5th IEEE International Conference on Data Mining (ICDM-IEEE ’05), Workshop on Foundations of Semantic Oriented Data and Web Mining, Houston, TX, USA, November 2005, pp. 99-105.