Multi-labeled Data Expressed by a Set of Labels
Collected data must be organized to be utilized efficiently, and hierarchical classification of data is efficient approach to organize data. When data is classified to multiple categories or annotated with a set of labels, users request multi-labeled data by giving a set of labels. There are several interpretations of the data expressed by a set of labels. This paper discusses which data is expressed by a set of labels by introducing orders for sets of labels and shows that there are four types of orders, which are characterized by whether the labels of expressed data includes every label of the given set of labels within the range of the set. Desirable properties of the orders, data is also expressed by the higher set of labels and different sets of labels express different data, are discussed for the orders.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1070565Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 775
 G. Adami, P. Avesani, and D. Sona, "Bootstrapping for Hierarchical Document Classification," Proc. Int-l Conf. on on Information and Knowledge Management (CIKM-03), pp. 295-302, 2003.
 E. Bertino, J. Fan, E. Ferrari, M. Hachi, and A. Elamagarmid, "A Hierarchical Access Control Model for Video Database Systems," ACM Transactions on Information Systems, Vol.21, No.2, pp. 151-191, 2003.
 K. Chakrabarti, V. Ganti, J. Han, and D. Xin, "Rankig Objects by Exploiting, Relationships: Computing Top-K over Aggregation," Proc. ACM SIGMOD Int-l Conf. on Management of Data, pp. 371-382, 2006.
 S. Chuang and L. Chien, "Taxonomy Generation for Text Segments:A Practical Web-Based Approach," ACM Transactions on Information Systems, Vol.23, No.4, pp. 363-396, 2005.
 W. Dakka, P. G. Ipeirotis, and K. R. Wood, "Automatic Construction of Multifaceted Browsing Interfaces," Proc. Int-l Conf. on Information and Knowledge Management (CIKM-05), pp. 768-775, 2005.
 S. Dumais and H. Chen, "Hierarchical Classification of Web Content," Proc. ACM Int-l Conf. on Research and Development in Information Retrieval, pp. 256-263, 2000.
 T. Furukawa and M. Kuzunishi, "Hierarchical Classification of Heterogeneous Data," Proc. IASTED Int-l Conf. on Databases and Applications (DBA2005), pp. 252-257, 2005.
 N. Ghamrawi and A. McMallum, "Collecticve Multi-Label Classification," Proc. Int-l Conf. on Information and Knowledge Management (CIKM-05), pp. 195-200, 2005.
 D. Koller and M. Sahami, "Hierarchically Classifying Documents Using Very Few Words," Proc. Int-l Conf. on Machine Learning, pp. 170-178, 1997.
 M. Kuzunishi and T. Furukawa, "Representation for Multiple Classified Data," Proc. IASTED Int-l Conf. on Databases and Applications (DBA2006), pp. 135-142, 2006.
 A. Sun and E. Lim, "Hierarchical Text Classification and Evaluation," Proc. IEEE Int-l Conf. on Data Mining (ICDM2001), pp. 521-528, 2001.
 K. Toutanova, F. Chen, K. Popat, and T. Hofmann, "Text Classification in a Hierarchical Mixture Model for Small Training Sets," Proc. Int-l Conf. on Information and Knowledge Management (CIKM-01), pp. 105-112, 2001.
 K. Wang, S. Zhou, and Y. He, "Hierarchical Classification of Real Life Documents," Proc. SIAM Int-l Conf. on Data Mining, pp. 1-16, 2001.
 K. Wang, S. Zhou, and S. C. Liew, "Building Hierarchical Classifiers Using Class Proximity," Proc. Int-l Conf. on Very Large Data Bases (VLDB-99), pp. 363-374, 1999.