M-InfoSift: A Graph-based Approach for Multiclass Document Classification

M-InfoSift: A Graph-based Approach for Multiclass Document Classification (2007)

Cached

Download Links

[itlab.uta.edu]

by Aravind Venkatachalam

BibTeX

@MISC{Venkatachalam07m-infosift:a,
    author = {Aravind Venkatachalam},
    title = {M-InfoSift: A Graph-based Approach for Multiclass Document Classification},
    year = {2007}
}

Bookmark

OpenURL

Abstract

Citations

6696	The Nature of Statistical Learning Theory - Vapnik - 1995
1368	Text categorization with support vector machines - Joachims - 1998
800	Fast effective rule induction - Cohen - 1995
682	The CN2 induction algorithm - Clark, Niblett - 1989
619	Nigam K: A comparison of event models for naïve Bayes text classification - McCallum - 1998
533	X: A re-examination of text categorization methods - Yang, Liu
448	Solving Multiclass Learning Problems via Error-Correcting Output Codes - Dietterich, Bakiri - 1995
332	Reducing multiclass to binary: A unifying approach for margin classifiers - Allwein, Schapire, et al. - 2000
319	PN: Introduction to data mining - Tan - 2006
309	gSpan: Graph-based substructure pattern mining - Yan, Han
309	E: A bayesian approach to filtering junk e-mail. AAAAI’98 Workshop on Learning for Text Categorisation - Sahami, Dumais, et al. - 1998
226	Frequent Subgraph Discovery - Kuramochi, Karypis
210	Classification by pairwise coupling - Hastie, Tibshirani - 1998
169	Developments in Automatic Text Retrieval - Salton - 1991
134	A neural network approach to topic spotting - Wiener, Pedersen, et al. - 1995
133	Expert network: Effective and efficient learning from human decisions in text categorization and retrieval - Yang - 1994
131	Error-correcting output coding corrects bias and variance - Kong, Dietterich - 1995
127	Substructure discovery using minimum description length and background knowledge - Cook, Holder - 1994
100	An example-based mapping method for text categorization and retrieval - Yang, Chute - 1994
100	Feature Selection, Perceptron Learning, and a Usability Case Study for Text Categorization - Ng, Goh, et al. - 1997
93	A graph distance metric based on the maximal common subgraph. Pattern Recognit Lett 19(3–4):255–259 - Bunke, Shearer - 1998
92	Mailcat: an intelligent assistant for organizing e-mail - Segal, Kephart - 1999
79	Towards Language Independent Automated Learning of Text Categorization Models - Apté, Damerau, et al. - 1994
78	Classifying news stories using memory based reasoning - Masand, Linoff, et al. - 1992
63	Concept features in Re: Agent, an intelligent email agent - Boone - 1998
63	Inexact graph matching for structural pattern recognition - Bunke - 1983
61	Learning to classify English text with ILP methods - Cohen - 1996
56	Megainduction: A test flight - Catlett - 1991
53	Text Categorization and Relational Learning - Cohen - 1995
51	Using a generalized instance set for automatic text categorization - Lam, Ho - 1998
50	Error-correcting output coding for text classification - Berger - 1999
48	Automatic indexing based on bayesian inference networks - Tzeras, Hartmann - 1993
45	Interface Agents that Learn: “An Investigation of Learning Issues in a Mail Agent Interface - Payne, Edwards - 1999
39	Text categorization: a symbolic approach - Moulinier, Raˇskinis, et al. - 1996
21	RPW: Using two-class classifiers for multiclass classification. 16th International Conference on Pattern Recognition (ICPR'02) 2002, 2:20124. Publish with BioMed Central and every scientist can read your work free of charge "BioMed Central will be the mos - DMJ, Duin
17	Automatic Induction of Rules for e-mail Classification - Crawford, Kay, et al.
16	Stochastic Complexity in Statistical Enquiry - Rissanen - 1989
13	Ishmail: Immediate identification of important information - Helfman, Isbell - 1995
10	Distributional clustering of words for text categorization - Baker, Mccallum - 1998
9	Text mining with decision trees and decision rules - Apte, Damerau, et al.
9	Context-sensitive methods for text categorization - Cohen, Singer - 1996
6	Classification of web documents using a graph model - Schenker, Last, et al. - 2003
6	An introduction to variable and feature selection, Journal of machine learning research - Guyon, Elisseeff - 2003
5	Subdue: Compression-based Frequent Pattern Discovery - Ketkar, Holder, et al. - 2005
2	Is learning bias an issus on the text categorization problem - Molinier - 1997
2	Heirarchically classifying text using very few words - Koller, Sahami - 1997
2	M.Rennie, “ifile:an application of machine learning to e-mail filtering - D - 2000
2	Automatic we page categorization by link and context analysis - Attardi, Gulli, et al. - 1999
1	Infosift:adapting graph mining techniques for document classification - Aery - 2004