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CIKM
2004
Springer
15 years 9 months ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
ESA
2010
Springer
246views Algorithms» more  ESA 2010»
15 years 5 months ago
Estimating the Average of a Lipschitz-Continuous Function from One Sample
We study the problem of estimating the average of a Lipschitz continuous function f defined over a metric space, by querying f at only a single point. More specifically, we explore...
Abhimanyu Das, David Kempe
GLOBECOM
2006
IEEE
15 years 10 months ago
Optimal Routing in the Worst-Case-Error Metric
— This paper considers the problem of finding the path with minimum (zero) worst possible number of errors in a network with V nodes where (1) some nodes are capable of correcti...
Edwin Soedarmadji
KDD
2007
ACM
153views Data Mining» more  KDD 2007»
16 years 4 months ago
Exploiting duality in summarization with deterministic guarantees
Summarization is an important task in data mining. A major challenge over the past years has been the efficient construction of fixed-space synopses that provide a deterministic q...
Panagiotis Karras, Dimitris Sacharidis, Nikos Mamo...
RSS
2007
134views Robotics» more  RSS 2007»
15 years 5 months ago
A Fast and Practical Algorithm for Generalized Penetration Depth Computation
— We present an efficient algorithm to compute the generalized penetration depth (PDg) between rigid models. Given two overlapping objects, our algorithm attempts to compute the...
Liangjun Zhang, Young J. Kim, Dinesh Manocha