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
....etc

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Multimedia data often have different levels of importance such that more important bits are less error-tolerant. A new rate control method for transporting such multimedia data over parallel wireless links with heterogeneous reliability is proposed. Rate-controlled parallel transmissions (RCPT) of different layers of a multimedia stream with different levels of importance over a wireless channel that support multiple links with heterogeneous reliability can improve the efficiency in resource allocation while satisfying the quality of service re ....etc

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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
There is growing interest in algorithms for processing and query- ing continuous data streams (i.e., data that is seen only once in a _xed order) with limited memory resources. Providing (perhaps approximate) answers to queries over such streams is a crucial re- quirement for many application environments; examples include large IP network installations where performance data from dif- ferent parts of the network needs to be continuously collected and analyzed. The ability to estimate the number of distinct (sub)tuples in the ....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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Hello,

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


Ade
[email protected]
....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 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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Java Programs IO STREAMS



Java programs perform I/O through streams. A stream is an abstraction that either produces or consumes information. A stream is linked to a physical device by the java I/O system. Stream is a pipe used to transfer the data from input unit to memory, memory to output unit. A stream is an object through which the data flows from source to the destination. To bring in information, a program opens a stream on an information source and reads the information sequentially.

Character S ....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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