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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: 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: 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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Title: Grouping Technique for Cooperative Spectrum Sensing in Cognitive Radios
Page Link: Grouping Technique for Cooperative Spectrum Sensing in Cognitive Radios -
Posted By: project report helper
Created at: Friday 22nd of October 2010 08:00:30 PM
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Grouping Technique for Cooperative Spectrum Sensing in Cognitive Radios




Rizwan Akhtar, Adnan Rashdi and Abdul Ghafoor
Electrical Engineering Department, College of Signals, National University of Science & Technology, Pakistan


Abstract—

Cognitive networks can potentially solve the
problems of spectrum scarcity by accommodating unlicensed
(secondary) users in under-utilized segments of the spectrum.
Spectrum sensing serves as the primary stimulus for a cognitive
radio an ....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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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: 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: 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: 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: Ghic
Page Link: Ghic -
Posted By: computer science technology
Created at: Saturday 30th of January 2010 10:11:54 AM
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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 focusing specifically on clustering customer transactions. Building on the notion that observable customer transactions are generated by latent behavioral traits, in this paper, we investigate using a pattern-based clustering approach to grouping customer transactions. We define an objective function that we maximize in order to achieve a good cluster ....etc

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