Multi-label classification and extracting predicted class hierarchies

被引：26

作者：

Brucker, Florian ^{[1
]}

Benites, Fernando ^{[1
]}

Sapozhnikova, Elena ^{[1
]}

机构：

[1] Univ Konstanz, Dept Comp & Informat Sci, D-78457 Constance, Germany

来源：

PATTERN RECOGNITION | 2011年 / 44卷 / 03期

关键词：

Multi-label classification; Hierarchy extraction; Text mining; Adaptive resonance theory (ART); NEURAL-NETWORK ARCHITECTURE; ARTMAP; RECOGNITION; DISCOVERY;

D O I：

10.1016/j.patcog.2010.09.010

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper investigates hierarchy extraction from results of multi-label classification (MC). MC deals with instances labeled by multiple classes rather than just one, and the classes are often hierarchically organized. Usually multi-label classifiers rely on a predefined class hierarchy. A much less investigated approach is to suppose that the hierarchy is unknown and to infer it automatically. In this setting, the proposed system classifies multi-label data and extracts a class hierarchy from multi-label predictions. It is based on a combination of a novel multi-label extension of the fuzzy Adaptive Resonance Associative Map (ARAM) neural network with an association rule learner. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：724 / 738

页数：15

共 45 条

[1]

Agrawal R., 1993, SIGMOD Record, V22, P207, DOI 10.1145/170036.170072

[2]

Bergmann R, 1998, LECT NOTES ARTIF INT, V1488, P25, DOI 10.1007/BFb0056319

[3] Nodal distance algorithm: Calculating a phylogenetic tree comparison metric [J].

Bluis, J ;

Shin, DG .

THIRD IEEE SYMPOSIUM ON BIOINFORMATICS AND BIOENGINEERING - BIBE 2003, PROCEEDINGS, 2003, :87-94

[4]

Bunke H., 2000, PROC VISION INTERFAC, P82

[5]

Cai Lijuan., 2004, Proceedings of the thirteenth ACM international conference on Information and knowledge management, P78

[6]

CARPENTER G, 2003, P INT JOINT C NEUR N, V2

[7] Distributed ARTMAP: a neural network for fast distributed supervised learning [J].

Carpenter, GA ;

Milenova, BL ;

Noeske, BW .

NEURAL NETWORKS, 1998, 11 (05) :793-813

[8] ART-EMAP - A NEURAL-NETWORK ARCHITECTURE FOR OBJECT RECOGNITION BY EVIDENCE ACCUMULATION [J].

CARPENTER, GA ;

ROSS, WD .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 1995, 6 (04) :805-818

[9] Self-organizing information fusion and hierarchical knowledge discovery: a new framework using ARTMAP neural networks [J].

Carpenter, GA ;

Martens, S ;

Ogas, OJ .

NEURAL NETWORKS, 2005, 18 (03) :287-295

[10] FUZZY ARTMAP - A NEURAL NETWORK ARCHITECTURE FOR INCREMENTAL SUPERVISED LEARNING OF ANALOG MULTIDIMENSIONAL MAPS [J].

CARPENTER, GA ;

GROSSBERG, S ;

MARKUZON, N ;

REYNOLDS, JH ;

ROSEN, DB .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 1992, 3 (05) :698-713

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