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Title: algorithm for text in audio and image in text steganography
Page Link: algorithm for text in audio and image in text steganography -
Posted By: crina vasa
Created at: Saturday 07th of August 2010 08:55:09 PM
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i m a student in BEIT.we are making a project in steganography.
we want algorithms to implement text in audio and image in audio steganography.
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Title: a text clustering framework for information retrieval
Page Link: a text clustering framework for information retrieval -
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Created at: Friday 02nd of March 2012 08:19:28 PM
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Title: a fuzzy self constructing feature clustering algorithm for text classification full project documentation
Page Link: a fuzzy self constructing feature clustering algorithm for text classification full project documentation -
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Created at: Thursday 11th of October 2012 02:55:20 PM
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Title: Classification Clustering and Application in Intrusion Detection System
Page Link: Classification Clustering and Application in Intrusion Detection System -
Posted By: seminar surveyer
Created at: Wednesday 12th of January 2011 06:26:18 PM
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Kaushal Mittal 04329024
M.Tech I Year
Under the Guidance of Prof. Sunita Sarawagi
KReSIT, Indian Institute of Technology Bombay



Abstract

Classification and clustering techniques in data mining are useful for a wide variety of real time applications dealing with large amount of data. Some of the applications of data mining are text classification, selective marketing, medical diagnosis, intrusion detection systems. Intrusion detection system are software system for ide ....etc

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Title: Text Clustering with Seeds Affinity Propagation
Page Link: Text Clustering with Seeds Affinity Propagation -
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Created at: Friday 03rd of February 2012 08:50:05 PM
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Title: classification and clustering using neural networks
Page Link: classification and clustering using neural networks -
Posted By: seminars on demand
Created at: Friday 25th of June 2010 08:35:01 PM
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Neural networks based on the supervised and unsupervised learning methodologies have been tested for their classification and clustering abilities in the normal as well as hostile conditions. A problem from the NMR (nuclear magnetic spectroscopy) was used as the test for this and it was found that the neural network based on both the paradigms fared better withou feature enhancement. The neural network tuning is the most difficult part in the connectionist pos approach and some sugggestions from this side is incorporated to obtain optimum resu ....etc

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Title: code for the fuzzy self constructing feature clustering algorithm for text classification
Page Link: code for the fuzzy self constructing feature clustering algorithm for text classification -
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Created at: Tuesday 06th of November 2012 12:42:23 AM
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Title: Frequent Term-Based Text Clustering
Page Link: Frequent Term-Based Text Clustering -
Posted By: project report maker
Created at: Sunday 01st of August 2010 12:40:07 PM
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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 associa ....etc

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Title: developing an algorithm for data mining using clustering genetic algorithm at c
Page Link: developing an algorithm for data mining using clustering genetic algorithm at c -
Posted By: project topics
Created at: Monday 02nd of May 2011 01:33:37 PM
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developing an algorithm for data mining using clustering genetic algorithm at c++



With an enormous amount of data stored in databases and data warehouses, it is increasingly important to develop powerful tools for analysis of such data and mining interesting knowledge from it. Data mining is more than slicing and dicing of data; it is a powerful business intelligence technology that provides knowledge about unknown patterns and events from large databases. Data mining technologies have known to significantly reduce operational costs and ....etc

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Title: Text Classification from Labeled and Unlabeled Documents using EM
Page Link: Text Classification from Labeled and Unlabeled Documents using EM -
Posted By: computer girl
Created at: Saturday 09th of June 2012 01:58:53 PM
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Text Classifi cation from Labeled and Unlabeled
Documents using EM




Abstract.

This paper shows that the accuracy of learned text classi ers can be improved by
augmenting a small number of labeled training documents with a large pool of unlabeled documents.
This is important because in many text classi cation problems obtaining training labels
is expensive, while large quantities of unlabeled documents are readily available.

Introduction

Consider the problem of automatically classifying te ....etc

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