ABSTRACT
This paper proposes a new multimedia ontology based scheme for semantic multimedia data processing on the web. The ontology language Multimedia Web Ontology Language (MOWL), is designed as an extension of OWL, the W3C recommended ontology language for the web. MOWL supports creation of and reasoning with perceptual modeling of concepts, and probabilistic evidential reasoning. Ontologies and context logic are closely related. Each context is ontology, and ontology inclusion could be one particular type of l ....etc

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Report and ppt for validation of mining association rules with hierarchical clustering ....etc

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To get full information or details of hierarchical clustering please have a look on the pages

http://seminarsprojects.net/Thread-efficient-clustering-scheme-to-exploit-hierarchical-data-in-network-traffic-analysis

http://seminarsprojects.net/Thread-ontology-discovery-for-the-semantic-web-using-hierarchical-clustering

if you again feel trouble on hierarchical clustering please reply in that page and ask specific fields in hierarchical clustering ....etc

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Submitted by
ADALF M





ABSTRACT
The Semantic Web is a project that intends to create a universal medium for information exchange by putting documents with computer-processable meaning (semantics) on World Wide Web in a standardized way.
Semantic Web is capable of integrating the day-to-day mechanisms of trade, bureaucracy and our daily lives so that they will be handled by machines talking to machines, making them intelligent agents.
Ontology is a conceptualization of a ....etc

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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 different between the summations of each c ....etc

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To get full information or details of hierarchical clustering please have a look on the pages

http://seminarsprojects.net/Thread-efficient-clustering-scheme-to-exploit-hierarchical-data-in-network-traffic-analysis

http://seminarsprojects.net/Thread-ontology-discovery-for-the-semantic-web-using-hierarchical-clustering

if you again feel trouble on hierarchical clustering please reply in that page and ask specific fields in hierarchical clustering ....etc

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GHIC: A Hierarchical Pattern-based Clustering Algorithm for Grouping Web Transactions
IEE 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 focusin ....etc

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Ontology Description using OWL to Support Semantic
Web Applications



ABSTRACT

In The World Wide Web (WW) serves the human with vast
amount of data and information.The usage pattern or user base has
multiplied many folds since its origin. Despite the increasing
importance gained by the WW, to serve the human, it lacks the
feature to serve meaningful information to machine this means
that limited support for utilization of data and information is
achieved. Thus the web needs to be made Semantic wherei ....etc

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The attached ppt can give a brief project idea on Ontology Classification for Semantic-Web-Based Software Engineering ....etc

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Abstract
The World Wide Web provides plentiful contents for Web-based learning, but its hyperlink-based architecture connects Web resources for browsing freely rather than for effective learning. To support effective learning, an e-learning system should be able to discover and make use of the semantic communities and the emerging semantic relations in a dynamic complex network of learning resources. Previous graph-based community discovery approaches are limited in ability to discover semantic communities. This paper first suggests the ....etc

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