Information Technology as Tools for Cancer Registry and Regional Cancer Network Integration

Bianconi, Fortunato; Brunori, Valerio; Valigi, Paolo; Rosa, Francesco La; Stracci, Fabrizio

doi:10.1109/tsmca.2012.2210209

Cited by 25 publications

(22 citation statements)

References 34 publications

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“…Ahmed et al [158] have proposed a model called Intrusion detection system which detects the unusual activities and depicts the behavior of users with less human intervention. Bianconi et al [159] have innovated the integration of GIS in S.G.RTUP tool for monitoring user activity.…”

Section: International Journal Of Applied Information Systems (Ijais)mentioning

confidence: 99%

An Overview on User Profiling in Online Social Networks

Vasanthakumar¹,

Sunithamma²,

Shenoy³

et al. 2017

IJAIS

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Advances in Online Social Networks is creating huge data day in and out providing lot of opportunities to its users to express their interest and opinion. Due to the popularity and exposure of social networks, many intruders are using this platform for illegal purposes. Identifying such users is challenging and requires digging huge knowledge out of the data being flown in the social media. This work gives an insight to profile users in online social networks. User Profiles are established based on the behavioral patterns, correlations and activities of the user analyzed from the aggregated data using techniques like clustering, behavioral analysis, content analysis and face detection. Depending on application and purpose, the mechanism used in profiling users varies. Further study on other mechanisms used in profiling users is under the scope of future endeavors.

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Section: International Journal Of Applied Information Systems (Ijais)mentioning

confidence: 99%

An Overview on User Profiling in Online Social Networks

Vasanthakumar¹,

Sunithamma²,

Shenoy³

et al. 2017

IJAIS

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“…Automatic importing of routinely available data from pathology archives, screening services, and hospital discharge records will reduce the time needed to produce data and will also allow the expansion of registered information. Several services for data visualization and statistical analysis are implemented [11].…”

Section: Literature Surveymentioning

confidence: 99%

Quantum Computing Based Technique for Cancer Disease Detection System

Jain¹

2014

J Comput Sci Syst Biol

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In present scenario where various diseases are here and out of them the cancer is one of them most devastating disease. Presently the detection procedure is very much time consuming and the results obtain by them are not so fast, so here in this respect there is a need of more accurate, fast and efficient method through computing technologies. This research work incorporates Quantum computing with the clustering algorithm i.e.

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“…For that, working with Lighttp server is recommended. In fact, this is more optimized for speed-critical applications for being a compliant, secure and flexible web server [8], [9]. This server has multiple parallel connections; which are managed in a single one.…”

Section: The Application Designmentioning

confidence: 99%