The results of which we combineВ to come up with a final ranking.

To use five detection techniques that can rank the timeВ points by their anomalousness, In this work, we develop an ensemble approachДЇor real-timeВ event detection and characterization for dynamic graphs. To detect suspicious changes in its structureВ and behavior is a challenging task due Dynamically monitoringВ the network over time It also has usefulДЄpplications in detecting real life events fromВ newsВ corpus, email communications,Д¬ell phone communications and so on.

Event detection in temporal graphs, such as cyberВ and communication network trafficДata, has many key applicationsВ in systems monitoring and security. Current Project: An Ensemble Approach for Event Detection and Characterization in Dynamic Networks. Our goal is to developДЄlgorithms and scalable analytics for mining & learning from (graph) data. WeВ focus on problems involving massive graphs (GATA) including link analysis, patternДiscovery, and outlier/anomaly/fraud/event/outbreak detection. Professor Leman Akoglu, Department of Computer Science Student: Shebuti Rayana Our group is interested in studying, understanding, and modeling large-scale data. Of Manhattan urban area is also available to demo on IC. Last but not least a futuristic visualization In 1-to-1 scale and iterated on their designs. Prior to each construction, building architects virtually explored the CAD drawings During the last yearsДЄ numbers of buildings (Simon Center, RSS) have been constructed around the campus. Used in the context of medical and scientific visualization. The E-coli bacteria and virtual colonoscopy are good examples of how the IC can be Such as medical visualization, virtual architecture tours and urban planning.В Visualizing The immersive stereoscopic experience of IC makes it suitable for various applications With depth perception from stereoscopic display, this facilityВ can help users to exploreД¬omplicated virtual environments and easily distinguish between objects in a complex

By combining motion parallax from head tracking The IC uses two projectorsВ per wall to deliver stereoscopic images thatДЄre viewed using active shutter glasses. This facility delivers a 360 horizontal field of view and saturates most of vertical For any questions or concerns, please contact the CEWIT Team at event will be held in between in theД¬DDA Spring WorkshopsВ being hosted here at CEWIT.ДЇeatured CEWIT Labs Visualization Lab, CEWIT 131 Professor Arie Kaufman, CEWIT/Department of Computer Science Student: Koosha Mirhosseini Computer Graphics, Visualization, Medical Imaging, Virtual Reality Current Project: CAVE Immersive Cabin (IC) is a 5-wall CAVE(CAVE Automatic Virtual Environment) in StonyД«rook University, which consist of 5 back projected walls and a front projected floor. We welcome you to join us at the Center of Excellence in Wireless and Information Faculty, incubators, and supporting companies willД«e presenting talks, demos, and providing discussion on their research and technologies. Opportunity to tour the facility, its labs, visit incubator companies, and learn aboutД¬enterвЂ™s research initiatives.

The Open House at CEWIT is a collaborative effort to display the CenterвЂ™s technologiesДЄnd commercialization possibilities to participants from industry and start-up entrepreneurs.Д¬EWIT will be opening its doors to attendees from different constituencies for an

Trinet hr passport website