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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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 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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PRESENTED BY:
PATEL SNEHAL J.
RATHOD PRADEEP R.
PATEL RAKESH M.
PATEL DIVYESH B.


SEQUENTIAL POWER ’ON
Introduction
Lot many appliances like air conditioners and refrigerators run in our offices and homes. And almost all of us must have noticed the momentary dimming of the lights when these lights when these loads draw a heavy starting current. The current drawn is so high that other equipment are affected, when all the loads are switched on, very heavy initial current is drawn ....etc

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Efficient storage and querying of sequential patterns in database systems
Presented By:
Alexandros Nanopoulosa, , Maciej Zakrzewiczb, , Tadeusz Morzyb, and Yannis Manolopoulos


Abstract
The number of patterns discovered by data mining can become tremendous, in some cases exceeding the size of the original database. Therefore, there is a requirement for querying previously generated mining results or for querying the database against discovered patters. In this paper, we focus on developing methods for the storage and querying of la ....etc

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DIGITAL IMAGE TRACING BY SEQUENTIAL MULTIPLE WATERMARKING
Abstract
The possibility of adding several watermarks to the same image would enable many interesting applications such as multimedia document tracing, data usage monitoring, and multiple property management. In this paper, we present a novel watermarking scheme, which allows inserting and reliably detecting multiple watermarks sequentially embedded into a digital image. The proposed method, based on elementary linear algebra, is asymmetric, secure under pr ....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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Abstract—Faulty components in a network need to be localized and repaired to sustain the health of the network. In this paper, we propose a novel approach that carefully combines active and passive measurements to localize faults in wireless sensor networks. More specifically, we formulate a problem of optimal sequential testing guided by end-to-end data. This problem determines an optimal testing sequence of network components based on end-to-end data in sensor networks to minimize expected testing cost. We prove that this problem is NP-hard ....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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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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