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Title: privacy preserving decision tree learning using unrealized data sets 2012
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Created at: Monday 15th of October 2012 02:00:53 PM
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Title: privacy preserving decision tree learning using unrealized data sets ppt
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Created at: Friday 04th of January 2013 05:21:07 PM
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I need the PPT for Privacy preserving decision tree learning using unrealized dataset

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Abstract, Domain ,Existing system, Demerits, proposed system, merits, conclusion, Hardware and software requirements,system design.



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Title: TOWARD A FUZZY DOMAIN ONTOLOGY EXTRACTION METHOD FOR ADAPTIVE E-LEARNING
Page Link: TOWARD A FUZZY DOMAIN ONTOLOGY EXTRACTION METHOD FOR ADAPTIVE E-LEARNING -
Posted By: project topics
Created at: Wednesday 27th of April 2011 03:27:19 PM
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Abstract
With the widespread applications of electronic learning (e-Learning) technologies to education at all levels, increasing number of online educational resources and messages are generated from the corresponding e-Learning environments. Nevertheless, it is quite difficult, if not totally impossible, for instructors to read through and analyze the online messages to predict the progress of their students on the fly. The main contribution of this paper is the illustration of a novel concept map generation mechanism which is underpi ....etc

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Title: Adaptive self-learning controller design for feedrate maximisation of machining pro
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Posted By: project report helper
Created at: Thursday 30th of September 2010 03:30:42 PM
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Adaptive self-learning controller design for feedrate maximisation of machining process

F. Cus, U. Zuperl*, E. Kiker, M. Milfelner
Faculty of Mechanical Engineering, University of Maribor,
Smetanova 17, 2000 Maribor, Slovenia
* Corresponding author: [email protected]
Received 05.09.2008; published in revised form 01.12.2008

ABSTRACT
Purpose: Of this paper: The purpose of this paper is to built an adaptive control system which controlling the cutting force and maintaining constant roug ....etc

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Title: Dynamic Balanced Key Tree Management for Secure Multicast Communications
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Posted By: project topics
Created at: Monday 02nd of May 2011 12:38:50 PM
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Dynamic Balanced Key Tree Management for Secure Multicast Communications - IEEE TRANSACTIONS ON COMPUTERS, VOL. 56, NO. 5, – java

Abstract—
A secure multicast communication is important for applications such as pay-per-view and secure videoconferencing. A key
tree approach has been proposed by other authors to distribute the multicast group key in such a way that the rekeying cost scales with
the logarithm of the group size for a join or depart request. The efficiency of this key tree approach critically depends on whether the ....etc

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Title: Privacy Preserving Decision Tree Learning Using Unrealized Data Sets
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Posted By: Projects9
Created at: Monday 23rd of January 2012 06:37:28 PM
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Abstract—Privacy preservation is important for machine learning and data mining, but measures designed to protect private information often result in a trade-off: reduced utility of the training samples. This paper introduces a privacy preserving approach that can be applied to decision tree learning, without concomitant loss of accuracy. It describes an approach to the preservation of the privacy of collected data samples in cases where information from the sample database has been partially lost. This approach converts the original sample d ....etc

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Title: Dynamic Compensation of Nonlinear Sensors by a Learning-From-Examples Approach
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Posted By: seminar class
Created at: Tuesday 03rd of May 2011 07:35:20 PM
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Abstract
In this paper, we address the problem of nonlinear
sensor dynamic compensation that will be performed on board
wireless sensor network nodes. To this aim, we design suitable
reduced-complexity learning-from-example algorithms and implement
them on resource-constrained devices, namely, 8-bit
microcontrollers. The proposed approach is validated with simulations
on different examples of nonlinear sensor models.
Index Terms—Dynamic compensation, low power, microcontroller
implementation, reduced-set methods, support v ....etc

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Title: Learning a Propagable Graph for Semisupervised Learning Classification and Regressio
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Posted By: Projects9
Created at: Monday 23rd of January 2012 06:12:54 PM
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Abstract—In this paper, we present a novel framework, called learning by propagability, for two essential data mining tasks, i.e., classification and regression. The whole learning process is driven by the philosophy that the data labels and the optimal feature representation jointly constitute a harmonic system, where the data labels are invariant with respect to the propagation on the similarity graph constructed based on the optimal feature representation. Based on this philosophy, a unified framework of learning by propagability is propos ....etc

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Title: E-Learning Learning Through Internet
Page Link: E-Learning Learning Through Internet -
Posted By: project topics
Created at: Friday 02nd of April 2010 06:16:20 PM
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Abstract:
This paper presents an approach for integrating e-learning with the traditional education system. A conceptual map is then created for this integration leading to a functional model for open and flexible learning. In the proposed integration, convergence of CD-based, class based and web based education in recommended and architecture to achieve this convergence is presented. In order to transform the existing schools, colleges and universities into digital campuses, an inclusive system architecture is designed for digital campus. A c ....etc

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Title: thesis documentation for privacy preserving decision tree learning using unrealized data sets
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Created at: Thursday 06th of December 2012 05:24:27 PM
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