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Abstract: . This paper introduces a class of predictive self-organizing neural networks known as Adaptive Resonance Associative Map (ARAM) for classification of free-text documents. Whereas most statistical approaches to text categorization derive classification knowledge based on training examples alone, ARAM performs supervised learning and integrates user-defined classification knowledge in the form of IF-THEN rules. Through our experiments on the Reuters-21578 news database, we showed that ARAM... (Update)
Context of citations to this paper: More
...into intuitive format for information discovery. Key analysis functions include trend analysis, topic detection tracking [ Kanagasa and Tan, 2001 ] and link association. Due to the space constraint, content mining is outside the scope of this paper. 4. Content publishing: The...
...or analog ART modules such as ART 2, ART 2 A, and fuzzy ART [2] which categorize both binary and analog patterns. Fuzzy ARAM [7] [8] that is based on fuzzy ART is used in FOCI. For User Configurable Clustering, the F 1 field contains the activities of the information...
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Personalized Information Management for Web Intelligence - Tan (2002) (Correct)
FOCI: A Personalized Web Intelligence System - Tan, Ong, Pan, Ng, Li (2001) (Correct)
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2: A massively parallel architecture for a self-organizing neural pattern recogniti.. (context) - Carpenter, Grossberg
2: Creating an order in digital libraries with self-organizing maps - Kaski, Honkela et al. - 1996
2: tracking and trend analysis using self-organizing neural networks (context) - Kanagasa, Tan - 2001
BibTeX entry: (Update)
A-H. Tan. Predictive self-organizing networks for text categorization. In Proceedings, Fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'01), Hong Kong, pages 66--77, 2001. http://citeseer.ist.psu.edu/tan01predictive.html More
@inproceedings{ tan01predictive,
author = "Ah-Hwee Tan",
title = "Predictive Self-Organizing Networks for Text Categorization",
booktitle = "Proceedings of {PAKDD}-01, 5th Pacific-Asia Conferenece on Knowledge Discovery and Data Mining",
publisher = "Springer Verlag, Heidelberg, DE",
address = "Hong Kong, CN",
editor = "David Cheung and Qing Li and Graham Williams",
pages = "66--77",
year = "2001",
url = "citeseer.ist.psu.edu/tan01predictive.html" }
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376 Text categorization with support vector machines: Learning w.. - Joachims - 1998
188 A massively parallel architecture for a selforganizing neura.. (context) - Carpenter, Grossberg - 1987
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120 Inductive learning algorithms and representation for text ca.. (context) - Dumais, Platt et al. - 1998
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97 A comparison of two learning algorithms for text categorizat.. - Lewis, Ringuette - 1994
80 Fuzzy ART: Fast stable learning and categorization of analog.. (context) - Carpenter, Grossberg et al. - 1991
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59 A neural network approach to topic spotting - Wiener, Pedersen et al. - 1995
55 Expert network: Effective and efficient learning from human .. (context) - Yang - 1994
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36 and a usability case study for text categorization (context) - Ng, Goh et al. - 1997
21 Text mining with decision rules and decision trees (context) - Apte, Damerau et al. - 1998
17 Adaptive Resonance Associative Map (context) - Tan - 1995
13 Cascade ARTMAP: Integrating neural computation and symbolic .. - Tan - 1997
9 Building intelligentagents for web-based tasks: A theory-ref.. - Shavlik, Eliassi-Rad - 1998
1 Refinementofapproximately correct domain theories byknowledg.. (context) - Towell, Shavlik et al. - 1990
1 An exampled-based mapping method for text categorization and.. (context) - YangandC, Chute - 1994
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