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KDD
2004
ACM
168views Data Mining» more  KDD 2004»
16 years 7 months ago
Mining, indexing, and querying historical spatiotemporal data
In many applications that track and analyze spatiotemporal data, movements obey periodic patterns; the objects follow the same routes (approximately) over regular time intervals. ...
Nikos Mamoulis, Huiping Cao, George Kollios, Mario...
VLDB
2009
ACM
159views Database» more  VLDB 2009»
16 years 6 months ago
Anytime measures for top-k algorithms on exact and fuzzy data sets
Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this article, we initiate research on the anytime ...
Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Ni...
181
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ICDM
2007
IEEE
254views Data Mining» more  ICDM 2007»
16 years 25 days ago
Sampling for Sequential Pattern Mining: From Static Databases to Data Streams
Sequential pattern mining is an active field in the domain of knowledge discovery. Recently, with the constant progress in hardware technologies, real-world databases tend to gro...
Chedy Raïssi, Pascal Poncelet
IPPS
2005
IEEE
16 years 6 days ago
Distributed Scheduling of Parallel I/O in the Presence of Data Replication
This paper studies distributed scheduling of parallel I/O data transfers on systems that provide data replication. In our previous work, we proposed a centralized algorithm for so...
Jan-Jan Wu, Pangfeng Liu
NIPS
2008
15 years 8 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...