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Title: source code of mobile sink based energy efficient clustering algorithm in matlab
Page Link: source code of mobile sink based energy efficient clustering algorithm in matlab -
Posted By: syama3chandran
Created at: Thursday 17th of August 2017 06:39:23 AM
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source code of mobile sink based energy efficient clustering algorithm in matlab

Abstract

Energy hole problem is a critical issue for data gathering in wireless sensor networks. Sensors near the static sink act as relays for far sensors and thus will deplete their energy very quickly, resulting energy holes in the sensor field. Exploiting the mobility of a sink has been widely accepted as an efficient way to alleviate this problem. However, determining an optimal moving trajectory for a mobile sink is a non-deterministic polynomial-time hard ....etc

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Title: coding for efficient concept based mining model for enhancing text clustering
Page Link: coding for efficient concept based mining model for enhancing text clustering -
Posted By: ravindra sp
Created at: Thursday 05th of October 2017 03:48:54 AM
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Title: coding of java project in hierarchical fca based conceptual model of text document u
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Posted By: kappukkattil
Created at: Thursday 17th of August 2017 08:42:52 AM
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Title: concept behind the conversion of text to speech
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Posted By: lankythekid
Created at: Thursday 17th of August 2017 05:24:03 AM
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Title: code for the fuzzy self constructing feature clustering algorithm for text classific
Page Link: code for the fuzzy self constructing feature clustering algorithm for text classific -
Posted By: sumitgupta
Created at: Thursday 05th of October 2017 03:46:00 AM
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Title: frequent term based text clustering code
Page Link: frequent term based text clustering code -
Posted By: NANDA
Created at: Thursday 05th of October 2017 03:46:27 AM
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Abstract

Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special problems of text clustering: very high dimensionality of the data, very large size of the databases and understandability of the cluster description. In this paper, we introduce a novel approach which uses frequent item (term) sets for text clustering. Such frequent sets can be efficiently discovered using algorithms for association rule mining. To cluster bas ....etc

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Title: Text Clustering with Seeds Affinity Propagation
Page Link: Text Clustering with Seeds Affinity Propagation -
Posted By: Priyanka Pansare
Created at: Thursday 17th of August 2017 05:04:06 AM
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Title: Text Digital Watermarking Of A Malayalam Text Document Based On Fragments Regrouping
Page Link: Text Digital Watermarking Of A Malayalam Text Document Based On Fragments Regrouping -
Posted By: pratik
Created at: Friday 06th of October 2017 03:06:02 PM
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Text Digital Watermarking Of A Malayalam Text Document Based On Fragments Regrouping Strategy
Problem Definition
Embedding a digital watermark into a digital text document that carries information unique to the copyright owner or the creator of the document.
Introduction
Digital Watermarking
Text Digital Watermarking
Process of embedding a digital watermark into a digital text document.
Proposed in 1995 by Brassil and Low.
Classification
Based on the format
Based on Expand space
Based on sema ....etc

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Title: model based method for projective clustering
Page Link: model based method for projective clustering -
Posted By: loku475
Created at: Thursday 17th of August 2017 08:40:00 AM
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Title: Frequent Term-Based Text Clustering
Page Link: Frequent Term-Based Text Clustering -
Posted By: anokh.scorpio
Created at: Thursday 05th of October 2017 04:58:19 AM
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ABSTRACT

Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special problems of text clustering: very high dimensionality of the data, very large size of the databases and understandability of the cluster description. In this paper, we introduce a novel approach which uses frequent item (term) sets for text clustering. Such frequent sets can be efficiently discovered using algorithms for associat ....etc

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