In this technical paper we present a study of the various routing algorithms, which are in use presently. This study of present algorithms is limited to their general working and the various security problems, which they are unable to solve. Our main emphasis is on discussing a novel approach based on Leap-Frog cryptographic signing protocol and that how this novel approach deals the various security threats, which, its predecessors (using traditional public-key signature schemes) are unable to withstand.

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Please any one send me the java program for SPMining for effective pattern discovery ....etc

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Seminar
On
RANDOMIZED ALGORITHMS
Prepared by
Shamseena K
S1 M.Tech
Software Engineering
CUSATPage 2

Seminar Report-2005
Randomized Algorithms
Department of Computer Science
CUSAT
2
ABSTRACT
A randomized algorithm is defined as an algorithm that typically uses the random
bits as an auxiliary input to guide its behavior. It achievs good performance in the
average case. Formally, the algorithm's performance will be a random variable
determined by the random bits, with (hopefully) good expected value. The worst case is
typi ....etc

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In the age of multimedia and high-speed networks, multicast is one of the mechanisms by which the power of the Internet can be further harnessed in an efficient manner. It has been increasingly used by various continuous media applications such as teleconferencing, distance learning, and voice & video transmission. Compared with unicast and broadcast, multicast can save network bandwidth and make transmission more efficient. In this seminars, we will review the history of the multicast, present you several existing multicast routing algorithms ....etc

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Data Mining with Neural Networks and Genetic Algorithms
General Strategy
• Train Neural Network with representative data
• Use Genetic Algorithm to generate rule sets
• Evaluate performance of the rule sets
Training the Neural Network
• Only constraint on topology is that it must have the same number of inputs as categories (e.g., cap-shape, cap-surface, etc.) and the same number of outputs as classes (e.g., poisonous or edible)
• 3-layer perceptron appears to be model used for experiment with 7 ....etc

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When reference signal for the FxLMS algorithm is taken from an acoustic sensor convergence can be very slow due to great eigen value spread. Using a non acoustic sensor, Such as a tachometer, cancellation of narrow band noise in the sensed fundamental frequency and harmonically related ones can be achieved very fast, although other periodic noises and underline broad band noise will remain.

Backward prediction errors resulting at the various stages of an adaptive lattice predictor(ALP) represent a a time-domain orthogonalization of the input ....etc

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A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Site-IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 20, NO. 2,

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Abstract—I
n this paper, we present a complete framework and findings in mining Web usage patterns from Web log files of a real Web site that has all the challenging aspects of real-life Web usage mining, including evolving user profiles and external data describing an ontology of the Web content. Even though the Web site under study is part of a nonprofit organization th ....etc

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Mesh Algorithms in Parallel Processing

¢ Parallel processing is processing a task with several processing units, or many processors

¢ Most powerful computers contain two or more processing units that share among themselves the jobs submitted for processing

¢ Several operations are performed simultaneously, so the time taken by a computation can be reduced.

¢ A problem to be solved is broken into a no.of subproblems. These subproblems are now solved simultaneously, each on different processors. The results are then combi ....etc

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Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood
relations since the neighbors of many objects have to be investigated in a single run of a typical
algorithm. Therefore, providing general concepts for neighborhood relations as well as an efficient
implementation of these concepts will allow a tight integration of spatial data mining algorithms
with a spatial database management system. This will speed up both, the development and
the execution of spatial data mining algorithms. In ....etc

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Hiii..i need information on the topic dataset technology query algorithm in streaming mining..please help me as i need ppt on this topic as soon as possible. ....etc

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