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Title: Multi Label Classification: An Overview
Author(s): G. Tsoumakas, I. Katakis.
Availability: Click here to download the PDF (Acrobat Reader) file (17 pages).
Keywords: Multi-Label Classification, Classfication.
Appeared in: International Journal of Data Warehousing and Mining, David Taniar (Ed.), Idea Group Publishing, 3(3), pp. 1-13, 2007.
Abstract: Nowadays, multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization and semantic scene classification. This paper introduces the task of multi-label classification, organizes the sparse related literature into a structured presentation and performs comparative experimental results of certain multi-label classification methods. It also contributes the definition of concepts for the quantification of the multi-label nature of a data set.
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130 Wei, Z., Miao, D., Zhao, R., Xie, C., Zhang, Z. (2010) Visualizing search results based on multi-label classification, Proceedings of the 2010 IEEE International Conference on Progress in Informatics and Computing, PIC 2010, 1, art. no. 5687407, pp. 203-207.
131 Michael Stein, M. (2010) Automatic Detection of Multiple, Cascased Audio Effects in Guitar Recordings, Proc. of the 13th Int. Conference on Digital Audio Effects (DAFx-10), Graz, Austria , September 6-10, 2010
132 Nasierding, G., Kouzani, A.Z. (2010) "Empirical Study of Multi-label Classification Methods for Image Annotation and Retrieval," dicta, pp.617-622, 2010 International Conference on Digital Image Computing: Techniques and Applications.
133 Quevedo, J.R., Montańes, E., Ranilla, J., Díaz, I. (2010) Ranked tag recommendation systems based on logistic regression, Neural Network World, 20 (7), pp. 963-977.
134 Abedin, M.A., Ng, V., Khan, L. (2010) Cause identification from aviation safety incident reports via weakly supervised semantic lexicon construction, Journal of Artificial Intelligence Research, 38, pp. 569-631.
135 Kuang, Q., Xu, X. (2010) Improvement and Application of TF•IDF Method Based on Text Classification, Proc. Int. Conf. on Internet Technology and Applications, 2010, Wuhan, China, 20-22 Aug. 2010. pp. 1-4.
136 Chen, B., Gu, W., Hu, J. (2010) An improved multi-label classification method and its application to functional genomics, International Journal of Computational Biology and Drug Design, 3 (2), pp. 133-145.
137 Sanden,C. (2010) An Empirical Evaluation of Computational and Perceptual Multi-Label Genre Classification on Music, Master Thesis, Department of Mathematics and Computer Science, University of Lethbridge, Canada.
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148 McDonald, D.W., Javanmardi, S., Zachry, M. (2011) Finding patterns in behavioral observations by automatically labeling forms of wikiwork in Barnstars, WikiSym 2011 Conference Proceedings - 7th Annual International Symposium on Wikis and Open Collaboration, pp. 15-24.
149 González-Caro, C., Baeza-Yates, R. (2011) A multi-faceted approach to query intent classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7024 LNCS, pp. 368-379.
150 Kuang, Q., Xu, X. (2011) An improved feature weighting method for text classification, Advances in Information Sciences and Service Sciences, 3 (7), pp. 340-346.
151 Hayat, M., Khan, A., (2011) Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition, Journal of Theoretical Biology, Volume 271, Issue 1, 21 February 2011, pp. 10-17, ISSN 0022-5193
152 Dembszynski, K., Waegeman, W., Hullermeier, E. (2011) Joint Mode Estimation in Multi-Label Classification by Chaining, Proc. ECML PKDD 2011 Workshop on Collective Learning and Inference on Structured Data (CoLISD).
153 Lastra, G., Luaces, O., Quevedo, J.R., Bahamonde, A. (2011) Graphical feature selection for multilabel classification tasks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7014 LNCS, pp. 246-257.
154 Xu, J. (2011) An extended one-versus-rest support vector machine for multi-label classification, Neurocomputing, 74 (17), pp. 3114-3124.
155 Xiao-lin Wang, Hai Zhao, Bao-liang Lu (2011) Enhanced K-Nearest Neighbour Algorithm for Large-scale Hierarchical Multi-label Classification, Proc. Joint ECML/PKDD PASCAL Workshop on Large-Scale Hierarchical Classification, pp. 58-67.
156 Sanden, C., Zhang, J.Z. (2011) Enhancing multi-label music genre classification through ensemble techniques, SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 705-714.
157 Sanden, C., Zhang, J. (2011) An Empirical Study of Multi-Label Classifiers for Music Tag Annotation, Proc. 12th International Society for Music Information Retrieval Conference, ISMIR'11, October 24-28, pp. 717-722
158 Qu, H., Zhang, S., Liu, H., Zhao, J. (2011) A multi-label classification algorithm based on label-specific features, Wuhan University Journal of Natural Sciences, 16 (6), pp. 520-524.
159 Gjorgjevikj, D., Madjarov, G. (2011) Two stage classifier chain architecture for efficient pair-wise multi-label learning, IEEE International Workshop on Machine Learning for Signal Processing, art. no. 6064599, .
160 Theocharis, A., Pierce, M., Tzanetakis, G. (2011) An empirical investigation of stacking for music tag annotation, Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011, 1, art. no. 6146949, pp. 90-95.
161 Wang, C., Zheng, W., Liu, Z., Bai, Y., Wang, J. (2011) Using random walks for multi-label classification, International Conference on Information and Knowledge Management, Proceedings, pp. 2197-2200.
162 Ahmadi Abhari, K., Hamzeh, A., Hashemi, S. (2011) Voting based learning classifier system for multi-label classification, Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication, pp. 355-359
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164 Madjarov, G., Gjorgjevikj, D., Džeroski, S. (2011) Dual layer voting method for efficient multi-label classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6669 LNCS, pp. 232-239.
165 Pillai, I., Fumera, F., Roli, F. (2011) Classifier Selection Approaches for Multi-label Problems, Proc. 10th International Workshop on Multiple Classifier Systems, MCS 2011, Naples, Italy, June 15-17, pp. 167-176.
166 Read, J., Pfahringer, B., Holmes, G., Frank, E. (2011) Classifier chains for multi-label classification, Machine Learning, 85 (3), pp. 333-359.
167 Chakraborty, S., Balasubramanian, V., Panchanathan, S. (2011) Optimal batch selection for active learning in multi-label classification, MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops, pp. 1413-1416.
168 Joshi, S., Nigam, B. (2011) Categorizing the document using multi class classification in data mining, Proceedings - 2011 International Conference on Computational Intelligence and Communication Systems, CICN 2011, art. no. 6112865, pp. 251-255.
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171 Xu, J. (2011) Multi-Label Weighted k-Nearest Neighbor Classifier with Adaptive Weight Estimation, Proc. 18th International Conference on Neural Information Processing, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part II, pp. 79-88
172 Zhou, L., Guan, C., Lu, W. (2011) Application of multi-label classification method to catagorization of multiple power quality disturbances, Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 31 (4), pp. 45-50.
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174 X.-S. Xu, Y. Jiang, P. Liang, X. Xue, and Z.-H. Zhou. Ensemble approach based on conditional random field for multi-label image and video annotation. In: Proceedings of the 19th ACM International Conference on Multimedia (MM'11), Scottsdale, AZ, 2011.
175 Julio H. Zaragoza, L. Enrique Sucar, Eduardo F. Morales, Concha Bielza, Pedro Larrańaga (2011) Bayesian Chain Classifiers for Multidimensional Classification, Proceedings of the 22nd International Joint Conference on Artificial Intelligence, pp. 2192-2197
176 Carlos N. Silla Jr., Alex A. Freitas (2011) A survey of hierarchical classification across different application domains, Data Mining and Knowledge Discovery, 22 (1-2), pp. 31-72.
177 Ávila, J.L., Gibaja, E.L., Zafra, A., Ventura, S. (2011) A gene expression programming algorithm for multi-label classification, Journal of Multiple-Valued Logic and Soft Computing, 17 (2-3), pp. 183-206.
178 Song, Y., Zhang, L., Giles, C.L. (2011) Automatic tag recommendation algorithms for social recommender systems, ACM Transactions on the Web, 5 (1), art. no. 4.
179 Jiang, J.-Y., Lee, S.-J. (2011) FMLKNN: A fuzzy membership function based K-Nearest Neighbor approach for multi-label classification, ICIC Express Letters, 5 (4 A), pp. 1069-1075.
180 Vogrincic, S., Bosnic, Z. (2011) Ontology-based multi-label classification of economic articles, Computer Science and Information Systems, 8(1)
181 Alfaro, R., Allende, H. (2011) Text Representation in Multi-label Classification: Two New Input Representations, 10th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011, Proceedings, Part II, pp. 61-70.
182 Kajdanowicz, T., Wozniak, M., Kazienko, P. (2011) Multiple Classifier Method for Structured Output Prediction Based on Error Correcting Output Codes, Proceedings, Part II, 3rd International Conference on Intelligent Information and Database Systems, ACIIDS 2011, Daegu, Korea, April 20-22, 2011, pp. 333-342.
183 Giuffrida, G., Reforgiato, D., Tribulato, G., Zarba, C. (2011) A banner recommendation system based on web navigation history, IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining, art. no. 5949437, pp. 291-296.
184 Bielza, C., Li, G., Larrańaga, P. Multi-dimensional classification with Bayesian networks (2011) International Journal of Approximate Reasoning, 52 (6), pp. 705-727.
185 Vivian F. López Batista, Fernando Prieta Pintado, Ana Belén Gil, Sara Rodríguez and María N. Moreno (2011) A System for Multi-label Classification of Learning Objects, Proc. 6th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2011, pp. 523-531.
186 Guido Bologna, Anne-Lise Veuthey, Marco Pagni, Lydie Lane and Amos Bairoch (2011) A Preliminary Study on the Prediction of Human Protein Functions, Proceedings of the 4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011, La Palma, Canary Islands, Spain, May 30 - June 3, 2011.
187 Qu Wei, Zhang Yang, Zhu Junping and Yong Wang (2011) Semi-supervised Multi-label Learning Algorithm Using Dependency Among Labels, International Proceedings of Computer Science and Information Technology, 3, pp. 112-116
188 Wei Zhang, Xiangyang Xue, Jianping Fan, Xiaojing Huang, Bin Wu, Mingjie Liu (2011) Multi-Kernel Multi-Label Learning with Max-Margin Concept Network, Proceedings of the 22nd International Joint Conference on Artificial Intelligence, pp. 1615-1620
189 Hüllermeier, E., Schlegel, P.(2011) Preference-Based CBR: First Steps Toward a Methodological Framework. Proc. ICCBR-2011, 19th International Conference on Case-Based Reasoning, London, September 2011, pp. 77-91
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191 Valentini, G. (2011) True path rule hierarchical ensembles for genome-wide gene function prediction, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8 (3), art. no. 5467036, pp. 832-847
192 Montańés, E., Quevedo, J.R., Dáz, I., Cortina, R., Alonso, P., Ranilla, J. (2010) TagRanker: learning to recommend ranked tags, Logic Journal of the IGPL, 19 (2), art. no. jzq036, pp. 395-404.
193 John Yearwood, Musa Mammadov and Dean Webb (2011) Profiling phishing activity based on hyperlinks extracted from phishing emails, Social Network Analysis and Mining, accepted.
194 Kanda1, J., Carvalho, A., Hruschka1, E., Soares, C. (2011) Selection of algorithms to solve traveling salesman problems using meta-learning, International Journal of Hybrid Intelligent Systems 8(3), pp. 117-128
195 Richards, J.W., Starr, D.L., Butler, N.R., Bloom, J.S., Brewer, J.M., Crellin-Quick, A., Higgins, J., Kennedy, R., Rischard, M. (2011) On machine-learned classification of variable stars with sparse and noisy time-series data (2011) Astrophysical Journal, 733 (1), art. no. 10.
196 Guo, Y., Schuurmans, D. (2011) Adaptive large margin training for multilabel classification, Proceedings of the National Conference on Artificial Intelligence, 1, pp. 374-379.
197 Pillai, I., Fumera, G., Roli, F. (2011) Classifier Selection Approaches for Multi-label Problems, Proc. 10th International Workshop on Multiple Classifier Systems, MCS 2011.
198 Ahmed, Z., Majeed, S. (2011) Machine Learning and Data Optimization using BPNN and GA in DOC, International Journal of Emerging Sciences, 1(2), 108-119, June 2011, ISSN: 2222-4254
199 Hui-Min Chiang, Tai-Yue Wang and Yu-Min Chiang (2011) Multi-Label Text Categorization Forecasting Probability Problem Using Support Vector Machine Techniques, In Information Technologies in Environmental Engineering, Environmental Science and Engineering, Volume 3, Part 1, pp. 39-48
200 Zhou, T., Tao, D., Wu, X. (2012) Compressed labeling on distilled labelsets for multi-label learning, Machine Learning, 88 (1-2), pp. 69-126.
201 Zhang, S., Zhang, H. (2012) HDML: An approach to high-dimensional and multi-label classification, Journal of Computational Information Systems, 8 (13), pp. 5599-5606.
202 Jebari, C. (2012) MLICC: A multi-label and incremental centroid-based classification of web pages by genre, Proc. 17th International Conference on Applications of Natural Language to Information Systems, NLDB 2012, pp. 183-190.
203 Zhou, T., Tao, D. (2012) Labelset anchored subspace ensemble (LASE) for multi-label annotation, Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, ICMR 2012.
204 Feng, Y., Chen, Z. (2012) Multi-label software behavior learning, Proceedings - International Conference on Software Engineering, art. no. 6227093, pp. 1305-1308.
205 You, M., Liu, J., Li, G.-Z., Chen, Y. (2012) Embedded Feature Selection for Multi-label Classification of Music Emotions, International Journal of Computational Intelligence Systems, 5 (4), pp. 668-678.
206 Chen, Y., Lu, B.-L., Zhao, H. (2012) Parallel learning of large-scale multi-label classification problems with min-max modular LIBLINEAR, Proceedings of the International Joint Conference on Neural Networks, art. no. 6252679.
207 Verwaeren, J., Waegeman, W., De Baets, B. (2012) Learning partial ordinal class memberships with kernel-based proportional odds models, Computational Statistics and Data Analysis, 56 (4), pp. 928-942.
208 Chen, B., Duan, L., Hu, J. (2012) Composite kernel based SVM for hierarchical multi-label gene function classification, Proceedings of the International Joint Conference on Neural Networks, art. no. 6252555.
209 Kumar,A.;Vembu,S.;Menon,A.;Elkan,C. (2012) Learning and Inference in Probabilistic Classifier Chains with Beam Search, Proceedings ECML PKDD 2012, pp. 665-680.
210 Dembczynski, K., Waegeman, W., Cheng, W., Hüllermeier, E. (2012) On label dependence and loss minimization in multi-label classification, Machine Learning, 88 (1-2), pp. 5-45.
211 Soylu,A.;Mödritscher,F.;Wild,F.;De Causmaecker,P.;Desmet,P. (2012) Mashups by Orchestration and Widget-based Personal Environments: Key Challenges, Solution Strategies, and an Application, Program: electronic library and information systems, Vol. 46 Iss: 4
212 Jing Zhang; Weiwei Hu; (2012) Effective multi-modal multi-label learning for automatic image annotation, Proceedings 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), pp.1216-1220, 29-31 May 2012
213 Cesa-Bianchi, N., Re, M., Valentini, G. (2012) Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference, Machine Learning, 88 (1-2), pp. 209-241.
214 Hariharan, B., Vishwanathan, S.V.N., Varma, M. (2012) Efficient max-margin multi-label classification with applications to zero-shot iearning, Machine Learning, 88 (1-2), pp. 127-155.
215 Read, J., Bifet, A., Holmes, G., Pfahringer, B. (2012) Scalable and efficient multi-label classification for evolving data streams, Machine Learning, 88 (1-2), pp. 243-272.
216 Wang,P.;Zhang,P.;Guo,L. (2012) Mining Multi-label Data Streams Using Ensemble-based Active Learning, In Proceedings of the 2012 SIAM International Conference on Data Mining (SDM-12), pp. 1131-1140, Anaheim, California, USA.
217 Henriques, R., Antunes, C. (2012) On the need of new approaches for the novel problem of long-term prediction over multi-dimensional data, Studies in Computational Intelligence, 429, pp. 121-138.
218 Rubin, T.N., Chambers, A., Smyth, P., Steyvers, M. (2012) Statistical topic models for multi-label document classification, Machine Learning, 88 (1-2), pp. 157-208.
219 Madjarov, G., Gjorgjevikj, D. (2012) Hybrid decision tree architecture utilizing local SVMs for multi-label classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7209 LNAI (PART 2), pp. 1-12.
220 Ramón Quevedo, J., Luaces, O., Bahamonde, A. (2012) Multilabel classifiers with a probabilistic thresholding strategy, Pattern Recognition, 45 (2), pp. 876-883.
221 Ukwatta, E., Samarabandu, J., Hall, M. (2012) Machine vision system for automated spectroscopy, Machine Vision and Applications, 23 (1), pp. 111-121.
222 Gjorgji Madjarov, Dejan Gjorgjevikj, Sašo Džeroski (2012) Two stage architecture for multi-label learning, Pattern Recognition, Volume 45, Issue 3, March 2012, Pages 1019-1034, ISSN 0031-3203
223 Jiang, J.-Y., Tsai, S.-C., Lee, S.-J. (2012) FSKNN: Multi-label text categorization based on fuzzy similarity and k nearest neighbors, Expert Systems with Applications, 39 (3), pp. 2813-2821.
224 Hayat, M., Khan, A. (2012) MemHyb: Predicting membrane protein types by hybridizing SAAC and PSSM, Journal of Theoretical Biology, 292, pp. 93-102.
225 Xu, J. (2012) An efficient multi-label support vector machine with a zero label, Expert Systems with Applications, 39 (5), pp. 4796-4804.
226 Chen, B., Hu, J. (2012) Hierarchical multi-label classification based on over-sampling and hierarchy constraint for gene function prediction, IEEJ Transactions on Electrical and Electronic Engineering, 7 (2), pp. 183-189.
227 Zhang, T., Dai, H., Liu, L.A., Lewis, D.F.V., Wei, D. (2012) Classification models for predicting cytochrome p450 enzyme-substrate selectivity, Molecular Informatics, 31 (1), pp. 53-62.
228 López, V.F., De La Prieta, F., Ogihara, M., Wong, D.D. (2012) A model for multi-label classification and ranking of learning objects, Expert Systems with Applications, 39 (10), pp. 8878-8884.
229 Junges, R., Klügl, F. Generating inspiration for agent design by reinforcement learning (2012) Information and Software Technology, 54 (6), pp. 639-649.
230 Sailsbery, J.K., Atchley, W.R., Dean, R.A. Phylogenetic analysis and classification of the fungal bHLH domain (2012) Molecular Biology and Evolution, 29 (5), pp. 1301-1318.
231 Kanj, S., Abdallah, F., Denśux, T. (2012) Evidential multi-label classification using the random k-label sets approach, Advances in Intelligent and Soft Computing, 164 AISC, pp. 21-28.
232 Steinberger, R., Ebrahim, M., Turchi, M. (2012) JRC EuroVoc Indexer JEX - A freely available multi-label categorisation tool. Proceedings of the 8th international conference on Language Resources and Evaluation (LREC'2012), Istanbul, 21-27 May 2012.
233 Xia, X., Yang, X., Li, S., Wu, C. (2012) A Bayesian Network nearest k-labels method for Multi-label classification, Advances in Information Sciences and Service Sciences, 4 (8), pp. 27-36.
234 Madjarov, G., Kocev, D., Gjorgjevikj, D., Džeroski, S. (2012) An extensive experimental comparison of methods for multi-label learning, Pattern Recognition, 45 (9), pp. 3084-3104.
235 Ortigosa-Hernández, J., Rodríguez, J.D., Alzate, L., Lucania, M., Inza, I., Lozano, J.A. (2012) Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers, Neurocomputing, 92, pp. 98-115.
236 Cebron, N., Richter, F., Lienhart, R. (2012) Decision tree induction from counterexamples, ICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods, 2, pp. 525-528.
237 He, J., Gu, H., Liu, W. (2012) Imbalanced multi-modal multi-label learning for subcellular localization prediction of human proteins with both single and multiple sites, PLoS ONE, 7 (6), art. no. e37155.
238 Zhang, J., Han, B., Wei, X., Tan, C., Chen, Y., Jiang, Y. (2012) A two-step target binding and selectivity support vector machines approach for virtual screening of dopamine receptor subtype-selective ligands, PLoS ONE, 7 (6), art. no. e39076.
239 Hayat, M., Khan, A., Yeasin, M. (2012) Prediction of membrane proteins using split amino acid and ensemble classification, Amino Acids, 42 (6), pp. 2447-2460.
240 Yang, Q., Shao, J., Scholz, M., Boehm, C., Plant, C. (2012) Multi-label classification models for sustainable flood retention basins, Environmental Modelling and Software, 32, pp. 27-36.


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