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Title: web user-session inference using clustering technique
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Title: Ontology Discovery for the Semantic Web Using Hierarchical Clustering
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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: web clustering engines ppt
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Abstract
Homogeneous charge compression ignition (HCCI) is a form of internal combustion in which well-mixed fuel and oxidizer (typically air) are compressed to the point of auto-ignition. Homogeneous charge compression ignition (HCCI) engines have
the potential for high efficiencies and low pollutant emissions.By comparison with spark ignition (SI) engines, for example,HCCI engines can yield a 15-20% increase in fuel economy while emitting lower levels of oxides of nitrogen (NOx).HCCI engines can also achieve thermal eff ....etc

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ME Engines “ the New Generation of Diesel Engines

INTRODUCTION

The introduction of the electronically controlled camshaft-less low speed diesel engines, which is now gaining momentum, is a milestone in diesel technology that deserves a place in history like Rudolf Dieselâ„¢s first engine in Augsburg, the 1912 motor vessel Selandia, the introduction of turbocharging on two-stroke diesels in 1954, and the first SCR (Selective Catalytic NOx Reduction) systems on ships in 1989. This paper will outline how MA ....etc

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Title: GHIC A Hierarchical Pattern-based Clustering Algorithm for Grouping Web Transactions
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Posted By: project topics
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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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