Quantiles Sliding Window

Computing Diameter In The Streaming And Sliding-Window Models
Computing Diameter in the Streaming and Sliding-Window Models1 Joan Feigenbaum2 5 Sampath Kannan3 5 Jian Zhang4 5 Abstract Dynamic maintenance of quantiles. In Proc. 28th International Conference on Very Large Data Bases, pages 454{465, 2002. ... Retrieve Here

Fast Computation Of Approximate Biased Histograms On Sliding ...
Fast Computation of Approximate Biased Histograms on Sliding Windows over Data Streams. Hamid Mousavi Computer Science Department, UCLA Los Angeles, USA ... Read Content

"Sketch-based Querying Of Distributed Sliding-Window Data ...
Odysseas Papapetrou, Minos Garofalakis, Antonios Deligiannakis Technical University of Crete {papapetrou,minos,adeli} ters, and computing quantiles in the sliding-window model. Focusing on distributed environments, we demonstrate how ECM-sketches of individ- ... Doc Retrieval

Sketch­based Querying Of Distributed Sliding­Window Data Streams
Sketch­based Querying of Distributed Sliding­Window Data Streams Odysseas Papapetrou, Minos Garofalakis, Antonios Deligiannakis puting quantiles in the sliding-window model. Time-based Sliding Windows over Distributed Streams. Fo- ... Content Retrieval

Gaussian Filter - Wikipedia, The Free Encyclopedia
The Gaussian function is non-zero for and would theoretically require an infinite window length. However, since it decays rapidly, it is often reasonable to truncate the filter window and implement the filter directly for narrow windows, in effect by using a simple rectangular window function. ... Read Article

Online Computation And Continuous Maintaining Of Quantile ...
Talk Quantile Estimation Overview GK-quantile Summary Algorithm Data Structure Operations Space Complexity Analysis Sliding Window Model Contributions of GK-algorithm and any n N, we can return -quantiles among the n most recent elements in a data stream seen so far. Lin ... Access Content

Continuous Monitoring Of Distributed Data Streams Over A Time ...
Quantiles and frequent items to sliding windows. They believed that the communi- The analysis of sliding-window algorithms is more difficult because the ex-piry of items destroys some monotonic property that is important to the analysis for whole data stream. In fact, ... Read Here

Tracking Distributed Aggregates Over Time-based Sliding Windows
Tracking Distributed Aggregates over Time-based Sliding Windows? the sliding window case. In this paper, we introduce a novel paradigm for handling such monitoring problems, and to maintain the quantiles of the distribution. ... Return Document

Space Efficient Quantile Summary For Constrained Sliding ...
3 The sliding window techniques In this section, we present a framework for estimating approximate quantiles over constrained sliding windows and show how quantiles can be estimated for ... Return Document

Approximate Counts And Quantiles Over Sliding Windows
Approximate Counts and Quantiles over Sliding Windows Arvind Arasu Stanford University arvinda@cs.stanford.edu Gurmeet Singh Manku Stanford University ... Access Document

Effective Computation Of Biased Quantiles Over Data Streams
In the sliding window model, where onlythe last Wdata elements are considered, biased quantiles was studied by Gupta and Zane [GZ03] quantiles over sliding windows. In Proceedings of ... Return Doc

Sketching Distributed Sliding-Window Data Streams - TUC
Computing quantiles in the sliding-window model. Time-basedSlidingWindowsoverDistributedStreams. Focusing on distributed environments, we demonstrate how ECM-sketches summarizing time-based sliding windows of. Sketching Distributed Sliding-Window Data Streams 3 ... Access Doc

Indexing The Results Of Sliding Window Queries
Indexing the Results of Sliding Window Queries Lukasz Golaby Piyush Prahladkaz M. Tamer Ozsu y Technical Report CS-2005-10 May 2005 This researc his partially supported by grants from the Natural Sciences and Engineering Researc Council ... Retrieve Doc

Dynamically Computing Approximate Frequency Counts In sliding ...
Sliding window with size N, we create one new sub-win- dow per eN elements. Hence, there are E6~ Arasu A, Manku G S. Approximate Counts and Quantiles over Sliding Window. Proc of ACM Syrup on Principles of Database Systems. Paris, ACM, 2004. 286-296. E7 ... View Document

Brief Announcement: Tracking Distributed Aggregates Over Time ...
Brief Announcement: Tracking Distributed Aggregates over Time-based Sliding Windows Graham Cormode such as the last hour of readings—the sliding window case. and to maintain the quantiles of the distribution. Each problem tol- ... Access Doc

Quantiles On Streams - UCSB Computer Science
The Greenwald-Khanna (GK) algorithm is based on the idea that if a sorted subset fv1;v2; g of the input This poses the sliding window extension of the quantiles problem, in which the desired quantile summary for the most recent N data elements ... Fetch Content

CONTINUOUS MONITORING OF DISTRIBUTED DATA STREAMS OVER A TIME ...
CONTINUOUS MONITORING OF DISTRIBUTED DATA STREAMS OVER SLIDING WINDOW 7 Absolute follow-ups. To obtain a tight bound of absolute follow-ups, we need a ... Content Retrieval