TY - GEN
T1 - Strength of relationship between multi-labeled data and labels
AU - Kuzunishi, Masahiro
AU - Furukawa, Tetsuya
N1 - Publisher Copyright:
© IFIP International Federation for Information Processing 2015.
PY - 2015
Y1 - 2015
N2 - Collected data must be organized properly to utilize well and classification of data is one of the efficient methods. Individual data or an object is classified to categories and annotated with labels of those categories. Giving ranks to labels of objects in order to express how close objects are to the categories enables us to use objects more precisely. When target objects are identified by a set of labels L, there are various strength of relationship between objects and L. This paper proposes criteria for objects with two rank labels, primary and secondary labels, such as a label relates to L, a primary label relates to L, every primary label relates to L, and every label relates to L. The strongest criterion which an object satisfies is the level of the object to express the degree of the strength of relationship between the object and L. The results for two rank objects are extended to k rank objects.
AB - Collected data must be organized properly to utilize well and classification of data is one of the efficient methods. Individual data or an object is classified to categories and annotated with labels of those categories. Giving ranks to labels of objects in order to express how close objects are to the categories enables us to use objects more precisely. When target objects are identified by a set of labels L, there are various strength of relationship between objects and L. This paper proposes criteria for objects with two rank labels, primary and secondary labels, such as a label relates to L, a primary label relates to L, every primary label relates to L, and every label relates to L. The strongest criterion which an object satisfies is the level of the object to express the degree of the strength of relationship between the object and L. The results for two rank objects are extended to k rank objects.
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U2 - 10.1007/978-3-319-24315-3_10
DO - 10.1007/978-3-319-24315-3_10
M3 - Conference contribution
AN - SCOPUS:84951038908
SN - 9783319243146
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 99
EP - 108
BT - Information and Communication Technology - 3rd IFIP TC 5/8 International Conference, ICT-EurAsia 2015 and 9th IFIP WG 8.9 Working Conference, CONFENIS 2015 Held as Part of WCC 2015, Proceedings
A2 - You, Ilsun
A2 - Xu, Li Da
A2 - Neuhold, Erich
A2 - Tjoa, A. Min
A2 - Khalil, Ismail
PB - Springer Verlag
T2 - 3rd IFIP TC 5/8 International Conference on Information and Communication Technology, ICT-EurAsia 2015 and 9th IFIP WG 8.9 Working Conference on Research and Practical Issues of Enterprise Information Systems, CONFENIS 2015
Y2 - 4 October 2015 through 7 October 2015
ER -