Bader, R., Callahan, M., Grim, D., Krause, J. and Pottenger, W., "The role of the HDDI TM collection builder in hierarchical distributed dynamic indexing", Workshop on Text Mining, Chicago, 2001, pp. 23-30. Home/Search Document Not in Database Summary Related Articles Check |
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Detecting Emerging Concepts in Textual Data Mining - Pottenger, Yang (2001) (1 citation) Self-citation (Pottenger) (Correct)
....approach includes the use of both lexical and contextual rules for identifying various parts of speech. After identifying each word s part of speech, we invoke a finite state machine (pictured in Figure 1) that accepts the language generated by a regular grammar of a subset of the English language [5], 6] Our enhanced state machine identifies and extracts concepts consisting of complex noun phrases composed of multiple modifiers, including gerund verb forms. The final result of these three steps is a reformulation of the original collection that includes a summation of the location and ....
R. Bader, M. Callahan, D. Grim, J. Krause, N. Miller and W. M. Pottenger, The Role of the HDDI TM Collection Builder in Hierarchical Distributed Dynamic Indexing, www.eecs.lehigh.edu/ ~ billp/pubs/HDDICB.doc, 2000.
Massively Parallel Distributed Feature Extraction in.. - Kuntraruk, Pottenger (2001) Self-citation (Pottenger) (Correct)
....on networks of PCs workstations in a highly distributed environment. We have developed an analytical model of the time and communication complexity of the feature extraction process in this environment based on feature extraction algorithms developed in our textual data mining research with [1] [18] 20] We show that speedups linear in the number of processors are achievable for applications involving reduction operations based on a novel, parallel pipelined model of execution. We are in the process of validating our analytical model with empirical observations based on the extraction ....
....component and an empirical component. The analytical component models the time and communication complexity of the feature extraction process in a massively parallel distributed environment. Based on feature extraction algorithms developed in our textual data mining research with HDDI [1] [18] 20] we are also performing empirical validation of the analytical model. In the following sections we first discuss the related work. We outline the feature extraction process based on our previous work in [1] and then develop our analytical model. Validation of the model is discussed in ....
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R. Bader, M. Callahan, D. Grim, J. Krause, N. Miller, and W. Pottenger. The role of the HDDI tm collection builder in hierarchical distributed dynamic indexing. In Proceedings of Textmine '01 Workshop, First SIAM International Conference on Data Mining, April 2001.
Semantic Search of Unstructured Data Using Contextual.. - Ceglowski, Coburn.. (2003) (1 citation) (Correct)
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Bader, R., Callahan, M., Grim, D., Krause, J. and Pottenger, W., "The role of the HDDI TM collection builder in hierarchical distributed dynamic indexing", Workshop on Text Mining, Chicago, 2001, pp. 23-30.
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