Hello,

I am new here in this forum.
I am working on data streams anonymization.
I am currently on literature survey.
From literature, i discovered that the adult data set on the UCI repository is usually used to test data stream anonymization using k-anonymity.
Please how is the UCI data set which is static simulated as streaming data?
Also is there any form of free source code available on data streams anonymization.
Thank you. ....etc

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presented by:
Chedy Ra¨ıssi,Pascal Poncelet,Maguelonne Teisseire

ABSTRACT
Many recent real-world applications, such as network traf-_c monitoring, intrusion detection systems, sensor networkdata analysis, click stream mining and dynamic tracing of_nancial transactions, call for studying a new kind of data.Called stream data, this model is, in fact, a continuous, potentiallyin_nite ow of information as opposed to _nite,statically stored data sets extensively studied by researchersof the data mining community. An important appl ....etc

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Abstract.
We consider a basic problem in the general data streaming model, namely, to estimate
a vector f 2 Zn that is arbitrarily updated (i.e., incremented or decremented) coordinatewise.
The estimate ˆ f 2 Zn must satisfy k ˆ f − fk1 _ _kfk1, that is, 8i (| ˆ fi −fi| _ _kfk1). It is
known to have ˜O(_−1) randomized space upper bound , (_−1 log(_n)) space lower bound
and deterministic space upper bound of ˜(_−2) bits.1 We show that any deterministic
algorithm for this problem requires space (_−2(logkfk1)) ....etc

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Abstract.
We consider the problem of estimating hybrid frequency moments of two dimensional data
streams. In this model, data is viewed to be organized in a matrix form (Ai;j)1i;j;n. The entries
Ai;j are updated coordinate-wise, in arbitrary order and possibly multiple times. The updates include
both increments and decrements to the current value of Ai;j . The hybrid frequency moment Fp;q(A)
is dened as
Pn
j=1
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myself sharath and we are working on nymble project, we are not getting data flow diagram for this project so can anyone please send the data flow diagram to my email address i.e [email protected] or [email protected]. thanking you, Sharath
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Abstract.
Space-economical estimation of the pth frequency moments, defined as Fp = Pn i=1|fi|p, for p > 0, are of interest in estimating all-pairs distances in a large data matrix , machine learning, and in data stream computation. Random sketches formed by the inner product of the frequency vector f1, . . . , fn with a suitably chosen random vector were pioneered by Alon, Matias and Szegedy , and have since played a central role in estimating Fp and for data stream computations in general. The concept of p-stable sketches for ....etc

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Abstract.
We present a randomized procedure named Hierarchical Sampling from Sketches (HSS) that can be used for estimating a class of functions over the frequency vector f of update streams of the form (S) = Pn i=1 (|fi|).We illustrate this by applying the HSS technique to design nearly space-optimal algorithms for estimating the pth moment of the frequency vector, for real p _ 2 and for estimating the entropy of a data stream. 3
1 Introduction
A variety of applications in diverse areas, such as, networking, database sys ....etc

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Abstract
The problem of estimating the kth frequency moment Fk over a data stream by looking at the items exactly once as they arrive was posed in . A succession of algorithms have been proposed for this problem . Recently, Indyk and Woodru® have presented the ¯rst algorithm for estimating Fk, for k > 2, using space ~O (n1¡2=k), matching the space lower bound (up to poly-logarithmic factors) for this problem (n is the number of distinct items occurring in the stream.) In this paper, we pre ....etc

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Abstract.
We present deterministic sub-linear space algorithms for a number of problems over update data streams, including, estimating fre- quencies of items and ranges, ¯nding approximate frequent items and approximate Á-quantiles, estimating inner-products, constructing near- optimal B-bucket histograms and estimating entropy. We also present new lower bound results for several problems over update data streams.
1 Introduction
The data streaming model presents a computational model for a variety of monitoring a ....etc

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Hello,

Please can i get free source code on data streams annonymization?
Thank you.


Ade
[email protected]
....etc

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