Overview of the INEX 2010 XML Mining Track: Clustering and Classification of XML Documents

被引：0

作者：

De Vries, Christopher M. ^{[1
]}

Nayak, Richi ^{[1
]}

Kutty, Sangeetha ^{[1
]}

Geva, Shlomo ^{[1
]}

Tagarelli, Andrea ^{[2
]}

机构：

[1] Queensland Univ Technol, Fac Sci & Technol, Brisbane, Qld 4001, Australia

[2] Univ Calabria, Calabria, Italy

来源：

COMPARATIVE EVALUATION OF FOCUSED RETRIEVAL | 2011年 / 6932卷

关键词：

XML document mining; INEX; Wikipedia; Structure; Content; Clustering; Classification;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This report explains the objectives, datasets and evaluation criteria of both the clustering and classification tasks set in the INEX 2010 XML Mining track. The report also describes the approaches and results obtained by participants.

引用

页码：363 / +

页数：2

共 10 条

[1] [Anonymous], 2008, Introduction to information retrieval
[2] De Vries CM, 2009, LECT NOTES COMPUT SC, V5631, P420, DOI 10.1007/978-3-642-03761-0_43
[3] Denoyer L., 2007, ACM SIGIR FORUM, V42, P22
[4] Denoyer L, 2007, LECT NOTES COMPUT SC, V4518, P432
[5] Denoyer L, 2009, LECT NOTES COMPUT SC, V5631, P401, DOI 10.1007/978-3-642-03761-0_41
[6] Nayak R, 2010, LECT NOTES COMPUT SC, V6203, P366, DOI 10.1007/978-3-642-14556-8_36
[7] Rijsbergen C. J. V, 1979, Information Retrieval
[8] Tovar M., 2010, LNCS, V6932, P377
[9] Wang S., 2010, LNCS, V6932, P383
[10] Zhao Y., 2001, 0140 DEP COMP SCI

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