Prenormalization Rounding in IEEE Floating-Point Operations Using a Flagged Prefix Adder,
This paper demonstrates howIEEE 754 floating-point standard compliant rounding can be merged with carry-propagate addition in floating-point unit (FPU) designs by using a novel adaptation of the prefix adder. The paper considers add/subtract, multiply, and SRT divide operations and demonstrates that in every case a generic rounding architecture based on a prefix adder with a small amount of additional logic is sufficient to cover all the rounding modes. ....etc

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Hai,
I need an project document for fast detection of mobile replica node attacks in wireless sensor networks using sequential hypothesis testing

Any one help me as soon as possible ....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 -
In recent years, mining of sequential patterns has been studied extensively in various domains. Most of the existing algorithms find patterns in transactional databases. This paper proposes a novel algorithm to mine closed sequential patterns using an inverted matrix and prefix based sequence element matrix. Inverted matrix minimizes the search space for discovering various sequential patterns of different items. We use a prefix based sequence element matrix to minimize the scans required at levels k and ....etc

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Clustering and Sequential Pattern Mining of Online Collaborative Learning Data



Abstract:
Group work is widespread in education. The growing use of online tools supporting group work generates huge amounts of data. We aim to exploit this data to support mirroring: presenting useful high-level views of information about the group, together with desired patterns characterizing the behavior of strong groups. The goal is to enable the groups and their facilitators to see relevan ....etc

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Hey! I am doing the project on PREFIX BASED FAST MINING IN CLOSED SEQUENTIAL PATTERNS.. Can anybody assist me by giving the complete source code of the project and base paper... I need it.. Please send me page link where can i dwnld it... ....etc

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In machine learning methods, when the input data becomes extremely large, the current direct methods
require too large learning times and memory. This project investigates one sequential method to overcome this
problem. It is quite a simple method to implement and is tested using the Perceptron as the base classifier. The
perceptron converges very slowly. So it will be interesting to find out if the proposed accelerator can improve
significantly the computational times of this simple classifier. The student will try various investigations o ....etc

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In machine learning methods, when the input data becomes extremely large, the current direct methods
require too large learning times and memory. This project investigates one sequential method to overcome this
problem. It is quite a simple method to implement and is tested using the well-known LDA classifier. The student
will try various investigations on different very large data sets and to measure their computational complexities. It
has been shown that this sequential method is very fast and only need a small subset of the large data s ....etc

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fast detection of mobile replica node attacks in wireless sensor networks using sequential hypothesis testing project source ....etc

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A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets-IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 20, NO. 4,-java

Abstract—+
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns identifies significant event-type sequences. Such spatio-temporal sequential patterns are crucial to the investigation of spatial and temporal evolutions of phenomena in many application domains. R ....etc

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