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An approximate L
1
-difference algorithm for massive data streams
Joan Feigenbaum
, Sampath Kannan
, Martin J. Strauss
,
Mahesh Viswanathan
Information Trust Institute
Siebel School of Computing and Data Science
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›
peer-review
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1
-difference algorithm for massive data streams'. Together they form a unique fingerprint.
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Keyphrases
Difference Algorithm
100%
Massive Datasets
100%
Symmetric Difference
100%
Big Data Stream
100%
Large Systems
50%
Processing Requirements
50%
Algorithmic Approach
50%
Value Function
50%
Random Variables
50%
Further Processing
50%
Computable
50%
Technical Innovation
50%
Network Operation
50%
Adversary
50%
Throwing
50%
Single-pass Algorithm
50%
Network Elements
50%
Scientific Products
50%
Product Marketing
50%
Summable
50%
Limited Independence
50%
Sketching Algorithms
50%
Observational Science
50%
Mathematics
Approximates
100%
Symmetric Difference
100%
Wide Range
50%
Function Value
50%
Random Variable
50%
Computer Science
Sketching Algorithms
25%