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» Streaming Algorithms for extent problems in high dimensions
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APPROX
2011
Springer
234views Algorithms» more  APPROX 2011»
12 years 7 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»
14 years 1 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»
13 years 9 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»
11 years 10 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»
14 years 8 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