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Title: Clustering a data set using Fuzzy K mean algorithm
Page Link: Clustering a data set using Fuzzy K mean algorithm -
Posted By: nitishrao
Created at: Thursday 17th of August 2017 08:15:57 AM
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To get full information or details of Clustering a data set using Fuzzy K mean algorithm please have a look on the pages

http://seminarsprojects.net/Thread-data-clustering-a-seminar-report

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Title: program code for mppt algorithm using incremental conductance method
Page Link: program code for mppt algorithm using incremental conductance method -
Posted By: sandesh zanke
Created at: Friday 06th of October 2017 02:58:56 PM
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Title: clustering in data mining seminars report
Page Link: clustering in data mining seminars report -
Posted By: simiwatson
Created at: Thursday 17th of August 2017 05:25:48 AM
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clustering in data mining seminar report

Aims and Outline of This Module
Discussing the idea of clustering.
Applications
Shortly about main algorithms.
More details on:
k-means algorithm/s
Hierarchical Agglomerative Clustering
Evaluation of clusters
Large data mining perspective
Practical issues: clustering in Statistica and
WEKA. ....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: balaji_satish
Created at: Thursday 17th of August 2017 06:49:02 AM
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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 relevant aspects of the group s ....etc

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Title: privacy preserving clustering in data mining 2012
Page Link: privacy preserving clustering in data mining 2012 -
Posted By: LUHAR
Created at: Thursday 17th of August 2017 06:39:52 AM
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to get information about the topic privacy preserving clustering in data mining 2012 full report ppt and related topic refer the page link bellow
http://seminarsprojects.net/Thread-privacy-preserving-data-publishing-based-on-de-clustering

http://seminarsprojects.net/Thread-privacy-preserving-data-publishing-based-on-de-clustering?pid=46681&mode=threaded

http://seminarsprojects.net/Thread-data-mining-project-idea-proposal?pid=17428&mode=threaded ....etc

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Title: IDR-QR Incremental Dimension Reduction Algorithm via QR Decomposition
Page Link: IDR-QR Incremental Dimension Reduction Algorithm via QR Decomposition -
Posted By: shaharlale
Created at: Thursday 05th of October 2017 03:23:46 AM
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IDR-QR: Incremental Dimension Reduction Algorithm via QR Decomposition (Java)
IEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 9,

Abstract:
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the literature, a well-known dimension reduction algorithm is Linear Discriminant Analysis (LDA). The common aspect of previously proposed LDA-based algorithms is the use of Singular Value Decomposition (S ....etc

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Title: Data Mining Clustering
Page Link: Data Mining Clustering -
Posted By: nagarani
Created at: Thursday 17th of August 2017 05:54:58 AM
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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 Clustering Applications ....etc

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Title: An Adaptive Algorithm for Incremental Mining of Association Rules
Page Link: An Adaptive Algorithm for Incremental Mining of Association Rules -
Posted By: bijoshmohan
Created at: Thursday 05th of October 2017 05:13:39 AM
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Abstract
The association rules represent an important class of knowledge that can be discovered from data warehouses. Current research efforts are focused on inventing efficient ways of discovering these rules from large databases. As databases grow, the discovered rules need to be verified and new rules need to be added to the knowledge base. Since mining afresh every time the database grows is inefficient, algorithms for incremental mining are being investigated. Their primary aim is to avoid or minimize scans of the older database b ....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: ijaz
Created at: Thursday 17th of August 2017 08:10:01 AM
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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 impr ....etc

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Title: INCREMENTAL MINING USING FREQUENT PATTERN TREE
Page Link: INCREMENTAL MINING USING FREQUENT PATTERN TREE -
Posted By: pankusoft
Created at: Thursday 05th of October 2017 03:21:54 AM
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Abstract:

Data mining refers to extracting or mining knowledge from large amount of data. It helps in discovering the frequent patterns. This knowledge can be help in making business decisions conventional data mining techniques were proposed to be in efficient, the source of data is incremental in nature and also they need to be re executed every time which in turn multiple database scans.

In this paper, we propose a novel data structure called CATS Tree to suit for continuously growing data sets, based on association rule mining with in ....etc

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