William M. Pottenger

Murat Can Ganiz, Cibin George, William M. Pottenger: Higher Order Naïve Bayes: A Novel Non-IID Approach to Text Classification. IEEE Trans. Knowl. Data Eng. 23(7): 1022-1034 (2011)

Becker Polverini, William M. Pottenger: Using clustering to detect Chinese censorware. CSIIRW 2011: 30

William Ribarsky, Brian D. Fisher, William M. Pottenger: Science of analytical reasoning. Information Visualization 8(4): 254-262 (2009)

David J. Kasik, David S. Ebert, Guy Lebanon, Haesun Park, William M. Pottenger: Data transformations and representations for computation and visualization. Information Visualization 8(4): 275-285 (2009)

Vikas Menon, William M. Pottenger: A Higher Order Collective Classifier for detecting and classifying network events. ISI 2009: 125-130

Murat Can Ganiz, Nikita I. Lytkin, William M. Pottenger: Leveraging Higher Order Dependencies between Features for Text Classification. ECML/PKDD (1) 2009: 375-390

William M. Pottenger: D-HOTM: distributed higher order text mining. DG.O 2007: 268-269

Shenzhi Li, Christopher D. Janneck, Aditya P. Belapurkar, Murat Can Ganiz, Xiaoning Yang, Mark Dilsizian, Tianhao Wu, John M. Bright, William M. Pottenger: Mining Higher-Order Association Rules from Distributed Named Entity Databases. ISI 2007: 236-243

Linda B. Sherrell, Chang Liu, William M. Pottenger, Paul Gross: NSF-DGE GK-12 teaching fellowships: changing student perceptions about computer science. SIGCSE 2007: 474-475

April Kontostathis, William M. Pottenger: A framework for understanding Latent Semantic Indexing (LSI) performance. Inf. Process. Manage. 42(1): 56-73 (2006)

William M. Pottenger, Shenzhi Li, Christopher D. Janneck: Distributed higher-order text mining: theory and practice. DG.O 2006: 446-447

Murat Can Ganiz, Sudhan Kanitkar, Mooi Choo Chuah, William M. Pottenger: Detection of Interdomain Routing Anomalies Based on Higher-Order Path Analysis. ICDM 2006: 874-879

Tianhao Wu, William M. Pottenger: A semi-supervised active learning algorithm for information extraction from textual data. JASIST 56(3): 258-271 (2005)

Shenzhi Li, Tianhao Wu, William M. Pottenger: Distributed higher order association rule mining using information extracted from textual data. SIGKDD Explorations 7(1): 26-35 (2005)

Jirada Kuntraruk, William M. Pottenger, Andrew M. Ross: Application Resource Requirement Estimation in a Parallel-Pipeline Model of Execution. IEEE Trans. Parallel Distrib. Syst. 16(12): 1154-1165 (2005)

Faisal M. Khan, Mark G. Arnold, William M. Pottenger: Hardware-based support vector machine classification in logarithmic number systems. ISCAS (5) 2005: 5154-5157

Tianhao Wu, Faisal M. Khan, Todd A. Fisher, Lori A. Shuler, William M. Pottenger: Posting Act Tagging Using Transformation-Based Learning. Foundations of Data Mining and knowledge Discovery 2005: 319-331

April Kontostathis, William M. Pottenger, Brian D. Davison: Identification of Critical Values in Latent Semantic Indexing. Foundations of Data Mining and knowledge Discovery 2005: 333-346

Lars E. Holzman, Todd A. Fisher, Leon M. Galitsky, April Kontostathis, William M. Pottenger: A Software Infrastructure for Research in Textual Data Mining. International Journal on Artificial Intelligence Tools 13(4): 829-850 (2004)

Faisal M. Khan, Mark G. Arnold, William M. Pottenger: Finite Precision Analysis of Support Vector Machine Classification in Logarithmic Number Systems. DSD 2004: 254-261

Lars E. Holzman, Todd A. Fisher, Leon M. Galitsky, April Kontostathis, William M. Pottenger: A Software Infrastructure for Research in Textual Data Mining. ICTAI 2003: 112-121

Tianhao Wu, William M. Pottenger: A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual Data. PAKDD 2003: 117-123

Ziyou Xiong, Xiang Zhou, William M. Pottenger, Thomas S. Huang: Speeding up relevance feedback in image retrieval with triangle-inequality based algorithms. ICASSP 2002: 3373-3376

Jirada Kuntraruk, William M. Pottenger: Massively Parallel Distributed Feature Extraction in Textual Data Mining Using HDDI(tm). HPDC 2001: 363-370

Glenn D. Blank, William M. Pottenger, G. Drew Kessler, Martin Herr, Harriet Jaffe, Soma Roy: CIMEL: constructive, collaborative inquiry-based multimedia E-learning. ITiCSE 2001: 179

Yi-Ming Chung, William M. Pottenger, Bruce R. Schatz: Automatic Subject Indexing Using an Associative Neural Network. ACM DL 1998: 59-68

William M. Pottenger: The Role of Associativity and Commutativity in the Detection and Transformation of Loop-level Parallelism. International Conference on Supercomputing 1998: 188-195

William Blume, Ramon Doallo, Rudolf Eigenmann, John Grout, Jay Hoeflinger, Thomas Lawrence, Jaejin Lee, David A. Padua, Yunheung Paek, William M. Pottenger, Lawrence Rauchwerger, Peng Tu: Parallel Programming with Polaris. IEEE Computer 29(12): 87-81 (1996)

William Blume, Rudolf Eigenmann, Keith Faigin, John Grout, Jaejin Lee, Thomas Lawrence, Jay Hoeflinger, David A. Padua, Yunheung Paek, Paul Petersen, William M. Pottenger, Lawrence Rauchwerger, Peng Tu, Stephen Weatherford: Restructuring Programs for High-Speed Computers with Polaris. ICPP Workshop 1996: 149-161

William M. Pottenger, Rudolf Eigenmann: Idiom Recognition in the Polaris Parallelizing Compiler. International Conference on Supercomputing 1995: 444-448

William Blume, Rudolf Eigenmann, Keith Faigin, John Grout, Jay Hoeflinger, David A. Padua, Paul Petersen, William M. Pottenger, Lawrence Rauchwerger, Peng Tu, Stephen Weatherford: Polaris: Improving the Effectiveness of Parallelizing Compilers. LCPC 1994: 141-154