Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
BBC News forum posts: 2,594,745 comments from selected BBC News forums and > 1,000 human classified sentiment strengths with a postive strength of 1-5 and a negative strength of 1-5. The classification is the average of three human classifiers.
Digg post comments: 1,646,153 comments on Digg posts (typically highlighting news or technology stories) and > 1,000 human classified sentiment strengths with a postive strength of 1-5 and a negative strength of 1-5. The classification is the average of three human classifiers.
MySpace (social network site) comments: six sets of systematic samples (3 for the US and 3 for the UK) of all comments exchanged between pairs of friends (about 350 pairs for each UK sample and about 3,500 pairs for each US sample) from a total of >100,000 members and > 1,000 human classified sentiment strengths with a postive strength of 1-5 and a negative strength of 1-5. The classification is the average of three human classifiers.
SentiStrength estimates the strength of positive and negative sentiment in short texts, even for informal language. It has human-level accuracy for short social web texts in English, except political texts.
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.
MatlabBGL is a Matlab package for working with graphs. It uses the Boost Graph Library to efficiently implement the graph algorithms. MatlabBGL is designed to work with large sparse graphs with hundreds of thousands of nodes.
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.
GM is open to original research articles accepting rock and soil as material. In addition to original research applications review papers and short technical notes are accepted. Geomaterails forms a platform to publish articles from experimental researches, theoretical analysis, statistical and mathematical modeling work. In addition, papers condensed on the analysis, modeling and optimization efforts in industry scale projects or applications are accepted.
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.
Uno degli argomenti più interessanti oggi, per chi vuole lavorare e guadagnare online in maniera seria e professionale, è misurare la reputazione online che
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, und M. Pechenizkiy. Data Mining and Knowledge Discovery, 36 (1):
379--413(Januar 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..
B. Langholz, und D. Richardson. American journal of epidemiology, 171 (3):
377-83(Februar 2010)5491<m:linebreak></m:linebreak>JID: 7910653; aheadofprint;.
C. Lanzolla, G. Colasuonno, K. Milillo, und G. Caputo. International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), 8 (3):
01-12(August 2019)