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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: 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: 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: a text clustering framework for information retrieval
Page Link: a text clustering framework for information retrieval -
Posted By: veena
Created at: Thursday 05th of October 2017 04:40:59 AM
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Abstract

Text-mining methods have become a key feature for homeland-security technologies, as they can help explore effectively increasing masses of digital documents in the search for relevant information. This research presents a model for document clustering that arranges unstructured documents into content-based homogeneous groups. The overall paradigm is hybrid because it combines pattern-recognition grouping algorithms with semantic-driven processing. First, a semantic-based metric measures distances between documents, by combining conte ....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: 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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what is seeds affinity propagation and difference between affinity propagation and seeds affinity propagation. in what way is SAP better than AP. ....etc

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Title: concept behind the conversion of text to speech
Page Link: concept behind the conversion of text to speech -
Posted By: lankythekid
Created at: Thursday 17th of August 2017 05:24:03 AM
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Title: a fuzzy self constructing feature clustering algorithm for text classification full
Page Link: a fuzzy self constructing feature clustering algorithm for text classification full -
Posted By: Athul
Created at: Thursday 05th of October 2017 03:51:33 AM
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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: 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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