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ESWA
2008
119views more  ESWA 2008»
13 years 10 months ago
Incremental clustering of mixed data based on distance hierarchy
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
Chung-Chian Hsu, Yan-Ping Huang
SSDBM
1998
IEEE
107views Database» more  SSDBM 1998»
14 years 2 months ago
Discrete Object Detection and Motion Registration Based on a Data Management Approach
When scientific data sets can be interpreted visually they are typically managed as pictures and consequently stored as large collections of bitmaps. Valuable information containe...
Hans Hinterberger, Bettina Bauer-Messmer
CIDR
2009
157views Algorithms» more  CIDR 2009»
13 years 11 months ago
Capturing Data Uncertainty in High-Volume Stream Processing
We present the design and development of a data stream system that captures data uncertainty from data collection to query processing to final result generation. Our system focuse...
Yanlei Diao, Boduo Li, Anna Liu, Liping Peng, Char...
JCDL
2010
ACM
126views Education» more  JCDL 2010»
13 years 11 months ago
Discovering Australia's research data
Access to data crucial to research is often slow and difficult. When research problems cross disciplinary boundaries, problems are exacerbated. This paper argues that it is import...
Stefanie Kethers, Xiaobin Shen, Andrew E. Treloar,...
ACL
2008
14 years 3 days ago
Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data
This paper provides evidence that the use of more unlabeled data in semi-supervised learning can improve the performance of Natural Language Processing (NLP) tasks, such as part-o...
Jun Suzuki, Hideki Isozaki