Predicting DataSpace Retrieval Using Probabilistic Hidden Information-Reference-Cited by-同舟云学术

Predicting DataSpace Retrieval Using Probabilistic Hidden Information

Published:2010 Issue:7 Volume:E93-D Page:1991-1994
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

FANZOU TCHUISSANG Gile Narcisse¹,WANG Ning¹,KUICHEU Nathalie Cindy¹,SIEWE Francois²,XU De¹,LIU Shuoyan¹

Affiliation:

1. Institute of Computer and Engineering, Beijing Jiaotong University

2. Software Technology Research Laboratory, Faculty of Technology, De Montfort University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

http://www.jstage.jst.go.jp/article/transinf/E93.D/7/E93.D_7_1991/_pdf

Reference8 articles.

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2. [2] A. Ricardo , L. Leydesdorff, C.-R. Zaida, R. Rousseau, and P. Soren, “Retrieval of very large numbers of items in the web of sciences, ” J. El Profesional de la Informacion, vol.18, no.5, pp.529-533, 2009.

3. [3] S. Mayssam, H. LeKhac, A. Doan, and L. Gravano, “Efficient keyword search across heterogeneous relational databases, ” 23rd IEEE Int. Conf. on Data Engineering (ICDE), vol.15, no.20, pp.346-355, 2007.

4. [4] L. Guoliang, F. Jianhua, W. Jianyong, and L. Zhou, “EASE: An effective 3-in-1 keyword search method for unstructured, semi-structured and structured data, ” ACM-SIGMOD Int. Conf. on Management of data, pp.903-914, Auckland, New Zealand, 2008.

5. [5] J.-P. Dittrich, “iMeMex: A dataspace odyssey: The iMeMex personal dataspace management system, ” 3rd Biennial Conf. on Innovative Data Systems Research (CIDR), California, USA, 2007.

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