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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Identifying Transformer Incipient Events for Maintaining Distribution System
Reliability
Abstract
This paper presents the time domain and timefrequencydomain analysis results of incipient events insingle-phase distribution transformers. This analysis willaid in the development of an automatic detection methodfor internal incipient faults in the transformers. Thedetection method can provide information to predictfailures ahead of time so that the necessary correctiveactions are taken to prevent outages and reduce downtimes. The analyz ....etc

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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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Abstract
Distributed Denial of Service (DDoS) attacks are a persistent, current, and very real threat to networks. Expanding upon a flexible distributed framework for network remediation utilising multiple strategies, we examine a novel fusion of methods to maximise throughput from legitimate clients and minimise the impact from attackers. The basic approach is to build up a whitelist of likely legitimate clients by observing outgoing traffic, presenting a challenge though proof-of-work, and providing flow cookies. Traffic that does n ....etc

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I want source code of C-Trend: Temporal Cluster Graphs For Identifying And Visualizing Trends In Multiattribute.please send me on email address [email protected] ....etc

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i want the code and documentation of the project : C-Trend: Temporal Cluster Graphs For Identifying And Visualizing Trends In Multiattribute Transactional Data ....etc

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Preserving Privacy by De-Identifying Face Images (Java, VB.NET)
IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 2,



Abstract:
In the context of sharing video surveillance data, a significant threat to privacy is face recognition software, which can automatically identify known people, such as from a database of drivers’ license photos, and thereby track people regardless of suspicion. This paper introduces an algorithm to protect the privacy of individuals in video surveillance data by de-identifying faces s ....etc

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Abstract
This paper presents a hardware and softwareapplication using the 1-wire technology. The application hasseveral components: 1-wire network of iButton® type devices,addressable switches, serial EEPROM memories, the softwarepackage developed for Windows operating system. Theapplication achieves several goals: 1-wire network interrogation,data processing, implementation of several control functions ofidentification and authorizing type. The solutions given haveadvantage of the hardware simplicity, which is specific to the 1-wire t ....etc

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please tell me the main goal of c-trend and tell me who can be benifited from this and how ....etc

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would you please tell me the main goal of c-trend and who can be benifitted from c-trend and what they will do with this project ....etc

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