Email marketing & newsletter analytics. Track more than just opening & click rates. Beautiful statistics & reports. Easy to setup. Works with all email service providers.
Take free online classes from 120+ top universities and educational organizations. We partner with schools like Stanford, Yale, Princeton, and others to offer courses in dozens of topics, from computer science to teaching and beyond. Whether you are pursuing a passion or looking to advance your career, Coursera provides open, free education for everyone.
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
{. Schouten, {. Bueno, W. Duivesteijn, and M. Pechenizkiy. Data Mining and Knowledge Discovery, 36 (1):
379--413(January 2022)Funding Information: This research is supported by EDIC project funded by NWO. We thank the EDIC consortium and the ZGT hospital for allowing us to analyse the data from the DIALECT-2 study. We especially thank Niala Den Braber (PhD candidate at Universiteit Twente and researcher internal medicine at ZGT hospital) and prof. dr. Goos Laverman (internist-nephrologist at ZGT hospital) for giving us clinical valuation of our findings. In addition, we thank our colleagues dr. Robert Peharz for giving us useful insights on Markov chains and DBNs and dr. Maryam Tavakol for guiding us towards the MovieLens dataset..
C. Lanzolla, G. Colasuonno, K. Milillo, and G. Caputo. International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), 8 (3):
01-12(August 2019)