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Interests.
Database Systems, Data Mining, Statistical Modelling, Distributed Computing.
Saket joined IBM Research Australia in 2013 as a full-time researcher. He received a PhD degree in Computer Science from EPFL, Switzerland under Prof. Karl Aberer in March, 2013. At EPFL he was associated with the Distributed Information Systems Laboratory. Before that he received a Master's (M.Tech.) degree in Electrical Engineering from IIT Bombay in 2006. Prior to joining EPFL, he spent one year working for an Indian startup.
I am a data scientist, software engineer and architecture consultant passionate in solving big data analytics problem with distributed and parallel computing, Machine learning and Data mining, SaaS and Cloud computing.
The Software Environment for the Advancement of Scholarly Research, SEASR (pronounced SEE-ZER), offers the humanities, arts, and social science communities a transformational cyberinfrastructure technology.
SEASR eases scholars’ access to digital research materials now stored in a variety of incompatible formats and enhances scholars’ use of them through analytics that can uncover hidden information and connections. SEASR fosters collaboration, too, through empowering scholars to share data and research in virtual work environments.
professor of Robotics and Computer Science at the School of Computer Science, Carnegie Mellon University. My main research interest is data mining...
During my teaching at CMU I've accumulated quite a number of introductory and advanced teaching materials about Data Mining, Machine Learning and Algorithms for AI. Click here for a set of Data Mining tutorials. In addition, some of the course links below can take you to additional teaching and learning materials.
"Emotional Cartography is a collection of essays from artists, designers, psychogeographers, cultural researchers, futurologists and neuroscientists, brought together by Christian Nold, to explore the political, social and cultural implications of visualising intimate biometric data and emotional experiences using technology" - http://www.biomapping.net/ - 18min/160MB-Video: http://www.archive.org/download/BioMapping/BioMapping.mp4
Thomas Maus, kurz und bündig http://www.busch-telefon.de/artikel/1152595671t85.pdf längeres Gespräch: http://chaosradio.ccc.de/cr115.html und: http://chaosradio.ccc.de/22c3_m4v_546.html
The real-time city is now real! The increasing deployment of sensors and hand-held electronics in recent years is allowing a new approach to the study of the built environment.
- http://senseable.mit.edu/obama/data_analysis.html
- http://senseable.mit.edu/realtimerome/
- http://senseable.mit.edu/trashtrack/
- http://www.mamartino.com/
- http://www.scientificamerican.com/article.cfm?id=ratti-smartest-cities-use-people-as-sensors Bilder:
- http://www.maind.supsi.ch/maindzine/wp-content/uploads/2008/10/fig-3.jpg
- http://flowingcity.com/wp-content/uploads/madonna-color-630x472.jpg
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Supercomputer predicts revolution:
http://www.bbc.co.uk/news/technology-14841018
Twitter wird sein frisch eingekauftes Echtzeit-DV-System Storm als Open Source veröffentlichen. Damit wird die Technik für die Parallelisierung von Datenbankabfragen für alle verfügbar.
IB, a quarterly journal, is dedicated to the latest advancement of Internet and Business, and the intersection of Economics with business applications. The goal of this journal is to publish cutting edge research and promote the research work in these fast moving areas. All manuscripts submitted to IB must be previously unpublished and may not be considered for publication elsewhere at any time during IB's review period.
Platform for sharing and evaluation of intelligent algorithms. Data mining data, experiments, datasets, performance analysis, data repository, challenges. Research and applications, prediction. Data mining and machine learning
Store, share & discover realtime sensor, energy and environment data from objects, devices & buildings around the world. Pachube is a convenient, secure & scalable platform that helps you connect to & build the 'internet of things'
Data Mining, Analytics, and Databases
Databases are the workhorse of the enterprise today. Searching through databases and finding useful information has become a big computational challenge. Researchers from academia and Microsoft, Oracle, SAP, and many other corporations are looking to CUDA-enabled GPUs to find a scalable solution.
F. Lemmerich, M. Becker, P. Singer, D. Helic, A. Hotho, and M. Strohmaier. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 965–974. New York, NY, USA, Association for Computing Machinery, (2016)