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Title: INVESTIGATION OF THE SEQUENTIAL ACCELERATOR ON THE PERCEPTRON FOR PATTERN RECOGNITIO
Page Link: INVESTIGATION OF THE SEQUENTIAL ACCELERATOR ON THE PERCEPTRON FOR PATTERN RECOGNITIO -
Posted By: chandu484
Created at: Thursday 05th of October 2017 05:07:31 AM
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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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Title: Frequent Pattern Mining in Web Log Data
Page Link: Frequent Pattern Mining in Web Log Data -
Posted By: abypallu
Created at: Thursday 17th of August 2017 05:16:14 AM
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Abstract:
Frequent pattern mining is a heavily researched area in the field of data mining
with wide range of applications. One of them is to use frequent pattern discovery methods
in Web log data. Discovering hidden information from Web log data is called Web usage
mining. The aim of discovering frequent patterns in Web log data is to obtain information
about the navigational behavior of the users. This can be used for advertising purposes, for
creating dynamic user profiles etc. In this paper three pattern mining approaches are
....etc

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Title: A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets
Page Link: A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets -
Posted By: panks
Created at: Friday 06th of October 2017 03:06:02 PM
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A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets-IEE 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. Rec ....etc

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Title: pattern detection using web log data
Page Link: pattern detection using web log data -
Posted By: nazeem
Created at: Thursday 05th of October 2017 04:17:06 AM
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I want to know the full details about Pattern Detection Using Weblog Data because i have a project in this title.. ....etc

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Title: executable Source code prefix based fast mining in closed sequential pattern
Page Link: executable Source code prefix based fast mining in closed sequential pattern -
Posted By: riteshgpt
Created at: Thursday 17th of August 2017 06:34:24 AM
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Presented By:
Thilagu, M. Nadarajan, R. Ahmed, M.S.I. Bama, S.S.
MCA Dept., VLB JCET, Coimbatore, India

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 by scanning the records whether they contain patterns or not. 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 ....etc

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Title: INVESTIGATION OF THE SEQUENTIAL ACCELERATOR ON LDA FOR PATTERN RECOGNITION
Page Link: INVESTIGATION OF THE SEQUENTIAL ACCELERATOR ON LDA FOR PATTERN RECOGNITION -
Posted By: ather_zara
Created at: Thursday 05th of October 2017 04:19:17 AM
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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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Title: effective pattern discovery for text mining data flow diagram
Page Link: effective pattern discovery for text mining data flow diagram -
Posted By: mrinal
Created at: Thursday 17th of August 2017 06:39:23 AM
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sir can you plz send the design process for effective pattern discovery for text mining
ASAP ....etc

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Title: A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Site
Page Link: A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Site -
Posted By: doomz
Created at: Thursday 17th of August 2017 05:07:01 AM
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A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Site-IEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 20, NO. 2,

vb.net

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 that ....etc

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Title: Application of Stream Data Time-Series Pattern Reliance Mining in Stock Market Analy
Page Link: Application of Stream Data Time-Series Pattern Reliance Mining in Stock Market Analy -
Posted By: ajitsuna
Created at: Thursday 17th of August 2017 05:29:38 AM
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The Application of Stream Data Time-Series Pattern Reliance Mining in Stock Market Analysis

With the rapid development of computer information technology, a new data model-the stream data emerged. The stream data is coming continuously, quickly, changing with time, and may be unpredictable and unlimited in the way. The emergence of stream data has brought new challenges from the nature ofthe data applied to static database technology and data mining technology. At present, the stream data has been widely used in telecommunications, financial ....etc

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Title: Clustering and Sequential Pattern Mining of Online Collaborative Learning Data
Page Link: Clustering and Sequential Pattern Mining of Online Collaborative Learning Data -
Posted By: balaji_satish
Created at: Thursday 17th of August 2017 06:49:02 AM
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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 relevant aspects of the group s ....etc

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