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KDD
1999
ACM
220views Data Mining» more  KDD 1999»
14 years 28 days ago
Efficient Mining of Emerging Patterns: Discovering Trends and Differences
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
Guozhu Dong, Jinyan Li
GIS
2008
ACM
14 years 9 months ago
Parallel ODETLAP for terrain compression and reconstruction
We introduce a parallel approximation of an Over-determined Laplacian Partial Differential Equation solver (ODETLAP) applied to the compression and restoration of terrain data use...
Jared Stookey, Zhongyi Xie, Barbara Cutler, W. Ran...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 9 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
PODS
2010
ACM
232views Database» more  PODS 2010»
14 years 1 months ago
Optimal sampling from distributed streams
A fundamental problem in data management is to draw a sample of a large data set, for approximate query answering, selectivity estimation, and query planning. With large, streamin...
Graham Cormode, S. Muthukrishnan, Ke Yi, Qin Zhang
BROADNETS
2006
IEEE
14 years 2 months ago
SeeMote: In-Situ Visualization and Logging Device for Wireless Sensor Networks
In this paper we address three challenges that are present when building and analyzing wireless sensor networks (WSN) as part of ubiquitous computing environment: the need for an ...
Leo Selavo, Gang Zhou, John A. Stankovic