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CVPR
2008
IEEE
14 years 10 months ago
Lost in quantization: Improving particular object retrieval in large scale image databases
The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local ...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
MSR
2010
ACM
14 years 1 months ago
The Ultimate Debian Database: Consolidating bazaar metadata for Quality Assurance and data mining
—FLOSS distributions like RedHat and Ubuntu require a lot more complex infrastructures than most other FLOSS projects. In the case of community-driven distributions like Debian, ...
Lucas Nussbaum, Stefano Zacchiroli
DKE
2006
110views more  DKE 2006»
13 years 8 months ago
Efficient mining of group patterns from user movement data
In this paper, we present a new approach to derive groupings of mobile users based on their movement data. We assume that the user movement data are collected by logging location ...
Yida Wang, Ee-Peng Lim, San-Yih Hwang
DEXA
2003
Springer
147views Database» more  DEXA 2003»
14 years 1 months ago
Context-Aware Data Mining Framework for Wireless Medical Application
Abstract. Data mining, which aims at extracting interesting information from large collections of data, has been widely used as an effective decision making tool. Mining the datas...
Pravin Vajirkar, Sachin Singh, Yugyung Lee
WWW
2005
ACM
14 years 8 months ago
XAR-miner: efficient association rules mining for XML data
In this paper, we propose a framework, called XAR-Miner, for mining ARs from XML documents efficiently. In XAR-Miner, raw data in the XML document are first preprocessed to transf...
Sheng Zhang, Ji Zhang, Han Liu, Wei Wang