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» Streaming Algorithms for extent problems in high dimensions
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APPROX
2011
Springer
234views Algorithms» more  APPROX 2011»
13 years 9 months ago
Streaming Algorithms with One-Sided Estimation
Abstract. We study the space complexity of randomized streaming algorithms that provide one-sided approximation guarantees; e.g., the algorithm always returns an overestimate of th...
Joshua Brody, David P. Woodruff
ICDE
2007
IEEE
211views Database» more  ICDE 2007»
15 years 3 months ago
Document Representation and Dimension Reduction for Text Clustering
Increasingly large text datasets and the high dimensionality associated with natural language create a great challenge in text mining. In this research, a systematic study is cond...
M. Mahdi Shafiei, Singer Wang, Roger Zhang, Evange...
SODA
2008
ACM
156views Algorithms» more  SODA 2008»
14 years 11 months ago
Approximating TSP on metrics with bounded global growth
The Traveling Salesman Problem (TSP) is a canonical NP-complete problem which is known to be MAXSNP hard even on Euclidean metrics (of high dimensions) [40]. In order to circumven...
T.-H. Hubert Chan, Anupam Gupta
ICDE
2012
IEEE
228views Database» more  ICDE 2012»
12 years 12 months ago
A General Method for Estimating Correlated Aggregates over a Data Stream
—On a stream of two dimensional data items (x, y) where x is an item identifier, and y is a numerical attribute, a correlated aggregate query requires us to first apply a selec...
Srikanta Tirthapura, David P. Woodruff
ICDE
2006
IEEE
156views Database» more  ICDE 2006»
15 years 11 months ago
What's Different: Distributed, Continuous Monitoring of Duplicate-Resilient Aggregates on Data Streams
Emerging applications in sensor systems and network-wide IP traffic analysis present many technical challenges. They need distributed monitoring and continuous tracking of events....
Graham Cormode, S. Muthukrishnan, Wei Zhuang