PUBLISHING SEARCH LOGS A COMPARATIVE STUDY
OF PRIVACY GUARANTEES ....etc

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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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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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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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Workflow Mining: Discovering Process Models from Event Logs
IEE Transactions on Knowledge and Data Engineering, Vol. 16, No. 9, September 2004
Language: VB.NET

Abstract:
Contemporary workflow management systems are driven by explicit process models, i.e., a completely specified workflow design is required in order to enact a given workflow process. Creating a workflow design is a complicated time-consuming process and, typically, there are discrepancies between the actual workflow processes and the processes as perceived by the ma ....etc

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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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sir,
I m looking for publishing search logs a comparative study of privacy guarantees java code. I need the materials of this project.

I'll be thankful to you if you'll email me the coding with documentations.

email id: [email protected] ....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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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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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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