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Title: Visualizing Network Security Events Using Compound Glyphs from a Service-Oriented
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Posted By: seminar presentation
Created at: Thursday 13th of May 2010 01:32:25 PM
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Introduction

Network Security Visualization is still a relatively new field as most research has been published since 1999. Network security is crucial to maintaining stable networks in order for institutions to continue normal operations. Network attacks are designed to cripple or disable normal functionality of a network, interrupting normal operations. A network administratorâ„¢s primary task is to enable secure and legitimate communications between machines on a network. A large portion of this task ....etc

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Title: c-trendtemporal cluster graphs for identifying and visualizing trends
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Posted By: lallii
Created at: Thursday 29th of September 2011 10:16:13 PM
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Title: c-trendtemporal cluster graphs for identifying and visualizing trends
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Posted By: lallii
Created at: Thursday 29th of September 2011 10:20:59 PM
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Title: C-Trend Temporal Cluster Graphs For Identifying And Visualizing Trends In Multiattri
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Posted By: kalyan9029
Created at: Tuesday 16th of February 2010 01:38:41 PM
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Title: C TRENDTemporal Cluster Graphs for Identifying and Visualizing Trends in Multi attribute Transactional Data
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Posted By: tarandeep singh
Created at: Wednesday 25th of January 2012 12:40:31 AM
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Title: C TRENDTemporal Cluster Graphs for Identifying and Visualizing Trends in Multi attribute Transactional Data
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Posted By: tarandeep singh
Created at: Wednesday 25th of January 2012 12:27:28 AM
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Title: C-TRENDTemporal Cluster Graphs for Identifying and Visualizing Trends
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Posted By: project topics
Created at: Tuesday 13th of April 2010 08:32:08 PM
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C-TREND:Temporal Cluster Graphs for Identifying and Visualizing Trends in Multi-attribute Transactional Data

Organizations and firms are capturing increasingly more data about their customers, suppliers, competitors, and business environment. Most of this data is multi-attribute (multidimensional) and temporal in nature. Data mining and business intelligence techniques are often used to discover patterns in such data; however, mining temporal relationships typically is a complex task. We propose a new data analysis and visualization techniqu ....etc

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Title: IDENTIFYING DISEASE CAUSING GENES USING PHENOMIC AND GENOMIC KNOWLEDGE
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Posted By: seminarsonly
Created at: Tuesday 21st of September 2010 03:41:18 PM
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Outline
Introduction

Methods

Results

Conclusion

INTRODUCTION

Chronic diseases are caused by the interactions of various genes.
These are subject to interactions and environmental factors

Mutations

These entities and their interactions can be
represented well using graph networks
Contd..
Genomics and Phenomics

Integrated genomics–phenomics knowledge

Approach:
Generate Semantic Web based network data structures
Perform centrality analyses to rank genes
Contd..
Traditional methodolo ....etc

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Title: C-Trend Temporal Cluster GraphsFor Identifying And Visualizing Trends In Multiattri
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Posted By: sadlekargaurivijay
Created at: Sunday 10th of October 2010 04:03:51 PM
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Title: sparkclouds visualizing trends tag clouds ppt
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