Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
The Need for Open Source Software in Machine Learning
The Journal of Machine Learning Research
Obtaining Bipartitions from Score Vectors for Multi-Label Classification
ICTAI '10 Proceedings of the 2010 22nd IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Enhancing multi-label music genre classification through ensemble techniques
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section on ACM multimedia 2010 best paper candidates, and issue on social media
Finding patterns in behavioral observations by automatically labeling forms of wikiwork in Barnstars
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
A model for multi-label classification and ranking of learning objects
Expert Systems with Applications: An International Journal
Improving multi-label classifiers via label reduction with association rules
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Multilabel classifiers with a probabilistic thresholding strategy
Pattern Recognition
Automated Tagging for the Retrieval of Software Resources in Grid and Cloud Infrastructures
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Learning tree structure of label dependency for multi-label learning
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Learning and inference in probabilistic classifier chains with beam search
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Towards a semi-automatic personal digital diary: detecting daily activities from smartphone sensors
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach
Electronic Notes in Theoretical Computer Science (ENTCS)
Multi-label classification with a reject option
Pattern Recognition
Tag recommendation in software information sites
Proceedings of the 10th Working Conference on Mining Software Repositories
Beam search algorithms for multilabel learning
Machine Learning
A study on multi-label classification
ICDM'13 Proceedings of the 13th international conference on Advances in Data Mining: applications and theoretical aspects
Multi-label classification by exploiting label correlations
Expert Systems with Applications: An International Journal
Domains of competence of the semi-naive Bayesian network classifiers
Information Sciences: an International Journal
A Framework to Generate Synthetic Multi-label Datasets
Electronic Notes in Theoretical Computer Science (ENTCS)
Multi-label learning under feature extraction budgets
Pattern Recognition Letters
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MULAN is a Java library for learning from multi-label data. It offers a variety of classification, ranking, thresholding and dimensionality reduction algorithms, as well as algorithms for learning from hierarchically structured labels. In addition, it contains an evaluation framework that calculates a rich variety of performance measures.