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» Approximation Techniques for Spatial Data
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DIALM
2003
ACM
99views Algorithms» more  DIALM 2003»
14 years 3 months ago
Spatio-temporal data reduction with deterministic error bounds
A common way of storing spatio-temporal information about mobile devices is in the form of a 3D (2D geography + time) trajectory. We argue that when cellular phones and Personal D...
Hu Cao, Ouri Wolfson, Goce Trajcevski
ICCS
2005
Springer
14 years 3 months ago
A Data-Adaptive Approach to cDNA Microarray Image Enhancement
Abstract. A data-adaptive approach for cDNA microarray image enhancement is presented. Through the weighting coefficients adaptively determined from local microarray image statisti...
Rastislav Lukac, Konstantinos N. Plataniotis, Bogd...
ICDE
1998
IEEE
142views Database» more  ICDE 1998»
14 years 11 months ago
High Dimensional Similarity Joins: Algorithms and Performance Evaluation
Current data repositories include a variety of data types, including audio, images and time series. State of the art techniques for indexing such data and doing query processing r...
Nick Koudas, Kenneth C. Sevcik
EDBT
2009
ACM
208views Database» more  EDBT 2009»
14 years 4 months ago
Flexible and efficient querying and ranking on hyperlinked data sources
There has been an explosion of hyperlinked data in many domains, e.g., the biological Web. Expressive query languages and effective ranking techniques are required to convert this...
Ramakrishna Varadarajan, Vagelis Hristidis, Louiqa...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 10 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye