Event: Conferences » Other » NATO Advanced Study Institute on Mining Massive Data Sets for Security NATO Advanced Study Institute on Mining Massive Data Sets for Security

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MMDSS '07 - Gazzada   

NATO Advanced Study Institute on Mining Massive Data Sets for Security

This Workshop brings together scientists and engineers interested in recent developments in exploiting Massive Data Sets. Emphasis is placed on available techniques and their application to security-critical applications.
Today our world is awash in data and we live in an Information Society where every action leaves a trace, generating massive amounts of data. Recent scientific developments provide technologies to exploit these huge amounts of data and extract from it critical information. Used today in many commercial applications (marketing campaigns, user profiling and recommendations on e-commerce sites, web search,users communitiee...), these technologies can also be used for security-critical applications (fraud detection and money laundering, intrusions detection, intelligence gathering, terrorist networks detection, Web surveillance...).

It is the purpose of this workshop to review the various technologies available (data mining algorithms, social networks, crawling and indexing, text-mining, search engines, data streams) in the context of very large data sets.

The workshop will provide survey presentations & posters to help building a scientific community aware of security issues and techniques to solve them.

Categories

Opening and Closing session

[syn]  4987 views, 06:37  
flagConclusion remarksConclusion remarks
Françoise Fogelman Soulié Françoise Fogelman Soulié

Interviews

[syn]  4431 views, 06:50  
flagInterview with Françoise Fogelman SouliéInterview with Françoise Fogelman Soulié
Davor Orlič, Françoise Fogelman Soulié Davor Orlič, Françoise Fogelman Soulié

Lectures

[syn]  9969 views, 2:12:03  
flagMining Massive Data Sets Mining Massive Data Sets
Françoise Fogelman Soulié Françoise Fogelman Soulié
[syn]  9692 views, 33:52  
flagOntologies and Machine LearningOntologies and Machine Learning
Marko Grobelnik, Blaž Fortuna Marko Grobelnik, Blaž Fortuna
[syn]  10201 views, 1:47:08  
flagWeb Spam Detection Web Spam Detection
Marcin Sydow, Carlos Castillo Marcin Sydow, Carlos Castillo

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