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Title: validation of mining association rules with hierarchical clustering
Page Link: validation of mining association rules with hierarchical clustering -
Posted By: jpmahadev
Created at: Saturday 24th of April 2010 01:22:28 AM
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Title: An Efficient Time-Bound Hierarchical Key Management Scheme for Secure Broadcasting
Page Link: An Efficient Time-Bound Hierarchical Key Management Scheme for Secure Broadcasting -
Posted By: project topics
Created at: Monday 02nd of May 2011 12:51:16 PM
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An Efficient Time-Bound Hierarchical Key Management Scheme for Secure Broadcasting-IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, VOL. 5, NO. 2,
-java
Abstract—

In electronic subscription and pay TV systems, data can be organized and encrypted using symmetric key algorithms according to predefined time periods and user privileges and then broadcast to users. This requires an efficient way of managing the encryption keys. In this scenario, time-bound key management schemes for a hierarchy were proposed by Tzeng and Chien in ....etc

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Title: FLEXIBLE HARDWARE ARCHITECTURE OF HIERARCHICAL K-MEANS CLUSTERING FOR LARGE CLUSTER N
Page Link: FLEXIBLE HARDWARE ARCHITECTURE OF HIERARCHICAL K-MEANS CLUSTERING FOR LARGE CLUSTER N -
Posted By: seminar class
Created at: Tuesday 29th of March 2011 01:20:07 PM
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PRESENTED BY:
Narmadha.K
Panimalar.R
Pavithra.P
Praveena.M


FLEXIBLE HARDWARE ARCHITECTURE OF HIERARCHICAL K-MEANS CLUSTERING FOR LARGE CLUSTER NUMBER

ABSTRACT
 To Handle Large Cluster Number In Embedded Systems, A Hardware Architecture Of Hierarchical K-means (Hk-means) Is Proposed To Support A Maximum Cluster Number Of 1024.
 It Adopts 10 Processing Elements For The Euclidean Distance Computations And The Level-order Binary-tree Traversal
 The Gate Count Of The Hardware Is 4 ....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: Hierarchical Pattern-Based Clustering for Grouping Web Transactions
Page Link: Hierarchical Pattern-Based Clustering for Grouping Web Transactions -
Posted By: seminar paper
Created at: Wednesday 14th of March 2012 06:34:20 PM
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Hierarchical Pattern-Based Clustering for Grouping Web Transactions



Abstract:
Grouping customer transactions into segments is important in order to obtain better understanding of customers’ pattern. Currently, the hierarchical pattern-based clustering has been used to group customer transactions into segments. However, the processing time is still high due to difference parameter used between two clusters. In this paper, the difference will be based on the dif ....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: java source code for hierarchical clustering
Page Link: java source code for hierarchical clustering -
Posted By:
Created at: Saturday 19th of January 2013 02:04:32 PM
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this code is very useful for us.thank u for giving this code.but registration is very difficult always showing error report. ....etc

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Title: hierarchical clustering java source code
Page Link: hierarchical clustering java source code -
Posted By:
Created at: Wednesday 03rd of July 2013 02:07:18 AM
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Title: GHIC A Hierarchical Pattern-based Clustering Algorithm for Grouping Web Transactions
Page Link: GHIC A Hierarchical Pattern-based Clustering Algorithm for Grouping Web Transactions -
Posted By: project topics
Created at: Monday 02nd of May 2011 01:50:59 PM
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GHIC: A Hierarchical Pattern-based Clustering Algorithm for Grouping Web Transactions
IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 9, Language: Java

Abstract: Grouping customer transactions into segments may help understand customers better. The marketing literature has concentrated on identifying important segmentation variables (e.g., customer loyalty) and on using cluster analysis and mixture models for segmentation. The data mining literature has provided various clustering algorithms for segmentation without focusi ....etc

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Title: Ontology Discovery for the Semantic Web Using Hierarchical Clustering
Page Link: Ontology Discovery for the Semantic Web Using Hierarchical Clustering -
Posted By: computer science technology
Created at: Thursday 28th of January 2010 09:48:26 AM
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Abstract.
According to a proposal by Tim Berners-Lee, the World Wide Web should be extended to make a Semantic Web where human understandable content is structured in such a way as to make it machine processable. Central to this conception is the establishment of shared ontologies, which specify the fundamental objects and relations important to particular online communities. Normally, such ontologies are hand crafted by domain experts. In this paper we propose that certain techniques employed in data mining tasks can be ad ....etc

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