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Title: Data Mining Clustering
Page Link: Data Mining Clustering -
Posted By: seminar paper
Created at: Monday 27th of February 2012 06:33:07 PM
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Data Mining: Clustering



What is Cluster Analysis

Cluster: a collection of data objects
Similar to one another within the same cluster
Dissimilar to the objects in other clusters
Cluster analysis
Grouping a set of data objects into clusters
Clustering is unsupervised classification: no predefined classes
Typical applications
As a stand-alone tool to get insight into data distribution
As a preprocessing step for other algorithms

Examples of C ....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: DATA CLUSTERING- A SEMINAR REPORT
Page Link: DATA CLUSTERING- A SEMINAR REPORT -
Posted By: science projects buddy
Created at: Sunday 19th of December 2010 09:10:50 PM
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SEMINAR REPORT
ON
DATA CLUSTERING


Submitted by

NITIN PAUL
Semester 7
Computer Science &Engineering
COLLEGE OF ENGINEERING TRIVANDRUM
2010

ABSTRACT



Data clustering also called Cluster Analysis, is defined as the unsupervised classification of data into various clusters. Webster defines cluster analysis as a statistical classification technique for discovering whether the individuals of a population fall into different groups by making quantitative com ....etc

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Title: BIRCH An Efficient Data Clustering Method For Very Large Data bases
Page Link: BIRCH An Efficient Data Clustering Method For Very Large Data bases -
Posted By: project topics
Created at: Monday 12th of April 2010 11:18:58 PM
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Abstract:

This paper presents a data clustering method named BIRCH(Balanced Iterative Reducing and Clustering using Hierarchies), and demonstrate that these especially suitable for very large data bases . BIRCH icrementally and dynamically clusters incoming multy dimensional metric data points to trie to produce the best qulity clustering with available recourses (i.e., available memory and time constraints).

BIRCH can typically find a good clustering with a single-scan of the data and improve the quality further with few additiona ....etc

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Title: Clustering and Sequential Pattern Mining of Online Collaborative Learning Data
Page Link: Clustering and Sequential Pattern Mining of Online Collaborative Learning Data -
Posted By: seminar paper
Created at: Wednesday 14th of March 2012 06:31:48 PM
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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 relevan ....etc

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Title: Efficient Clustering Scheme to Exploit Hierarchical Data in Network Traffic Analysis
Page Link: Efficient Clustering Scheme to Exploit Hierarchical Data in Network Traffic Analysis -
Posted By: seminar class
Created at: Tuesday 03rd of May 2011 11:53:34 AM
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Abstract
There is significant interest in the data mining and network management communities about the need to improve existing
techniques for clustering multivariate network traffic flow records so that we can quickly infer underlying traffic patterns. In this paper,
we investigate the use of clustering techniques to identify interesting traffic patterns from network traffic data in an efficient manner. We
develop a framework to deal with mixed type attributes including numerical, categorical, and hierarchical attributes for a one- ....etc

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Title: Fuzzy c-Means Clustering of Incomplete Data
Page Link: Fuzzy c-Means Clustering of Incomplete Data -
Posted By: seminar details
Created at: Thursday 07th of June 2012 04:14:33 PM
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Fuzzy c-Means Clustering of Incomplete Data




INTRODUCTION

WE ARE interested in clustering a set of objects
represented by a numerical object data set
into clusters, . The
numerical data describes the objects by specifying values for
particular features. For example, if the th component of each
datum corresponds to the feature of weight, then the th component
of , denoted by , gives the weight of object . In
some situations, feature ve ....etc

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Title: data clustering and its applications
Page Link: data clustering and its applications -
Posted By: k.nsudeepthi
Created at: Thursday 25th of February 2010 01:07:15 AM
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Title: Data Clustering and Its Applications full report
Page Link: Data Clustering and Its Applications full report -
Posted By: project report tiger
Created at: Tuesday 02nd of February 2010 11:53:22 PM
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ABSTRACT

Fast retrieval of the relevant information from the databases has always been a significant issue. Different techniques have been developed for this purpose, one of them is Data Clustering. In this paper Data Clustering is discussed along with its two traditional approaches and their analysis. Some applications of Data Clustering like Data Mining using Data Clustering and Similarity Searching in Medial Image Databases are also discussed along with a case study of Microsoft Windows NT Operating system. The implem ....etc

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Title: Privacy-preserving Data Publishing Based on De-clustering
Page Link: Privacy-preserving Data Publishing Based on De-clustering -
Posted By: project topics
Created at: Monday 02nd of May 2011 12:45:51 PM
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Privacy-preserving Data Publishing Based on De-clustering –IEEE-vb.net

In recent years, privacy preservation has become a serious concern in publication of personal data because of the wide availability of personal data. In the literature, we know that the degree of privacy protection is really determined by the number of distinct sensitive values in each
group which is classified according to quasi-identifiers. In this paper, we present a novel method to protect data privacy by partitioning the microdata into some groups based on ....etc

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