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Data stream
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#	Item
471	inDataStreamMining inEnsembleLearning Wills G25 Add to Reading List Source URL: www.ecmlpkdd2012.net Language: English* - Date: 2012-09-18 11:47:55 Education Computational statistics Data analysis Business intelligence Data stream mining Concept drift ECML PKDD CoFFEE E-learning Data mining Machine learning Learning
472	Hydrol. Earth Syst. Sci., 14, 1623–1637, 2010 www.hydrol-earth-syst-sci.netdoi:hess © Author(sCC Attribution 3.0 License. Hydrology and Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 02:40:56 Earth Weather prediction Statistical forecasting Bayesian statistics Estimation theory Data assimilation Stream gauge Flood forecasting Numerical weather prediction Hydrology Atmospheric sciences Meteorology
473	Monitoring data at Ibaraki prefecture（1／1） :00 μSv/h JAEA nuclear science research institute Add to Reading List Source URL: radioactivity.nsr.go.jp Language: English - Date: 2015-04-05 22:18:48 Physics Radiation Background radiation Sievert Ionizing radiation Japan Atomic Energy Agency Absorbed dose Latitude of the Gulf Stream and the Gulf Stream north wall index Radioactivity Radiobiology Nuclear physics
474	Chapter 3: Data and exploratory analysis Table 3.18: Summary of correlations for winter (DJF). Average magnitudes of significant[removed]level) and stable results for all stations appended with the average sign, marked wit Add to Reading List Source URL: www.cru.uea.ac.uk Language: English - Date: 2009-12-22 04:44:51 Global Innovation Index Research Latitude of the Gulf Stream and the Gulf Stream north wall index
475	Bibliography Aldous, D. and Vazirani, U[removed]). “Go with the winners” algorithms. In Proceedings of the 35th Annual Symposium on Foundations of Computer Science, pp. 492–501, Santa Fe, New Mexico. IEEE Computer S Add to Reading List Source URL: aima.cs.berkeley.edu Language: English - Date: 2002-11-14 11:05:16 Cyc Ontology Computational learning theory Year of birth missing Data stream mining CALO Artificial intelligence Science Academia
476	References for Data Stream Algorithms Graham Cormode July[removed]Abstract Many scenarios, such as network analysis, utility monitoring, and financial applications, Add to Reading List Source URL: dimacs.rutgers.edu Language: English - Date: 2008-07-04 21:18:49 Algorithms Streaming algorithm Computer science Theoretical computer science Randomized algorithm Count-Min sketch Hash function K-nearest neighbor algorithm Fast Fourier transform Mathematics Search algorithms Applied mathematics
477	Australasian Hydrographer February 2006 Add to Reading List Source URL: aha.net.au Language: English - Date: 2013-01-03 05:01:28 Physical geography Hydrographic office Navigation Data logger Hydrograph Stream gauge Technology Hydrology Hydrography Water
478	Stream Processing Systems Have Arrived at the Big Data Party. But Where Are All the Benchmarks? Zubair Nabi IBM Research – Ireland Add to Reading List Source URL: tinytocs.org Language: English - Date: 2015-03-07 12:34:01 MapReduce Stream processing File system Transaction Processing Performance Council Computing Parallel computing Benchmark
479	SCHOOL OF POPULATION HEALTH SEMINAR SERIES Using epidemiological and administrative data to inform mental health service system improvement Presenters from: Mental Health Policy and Services Research Stream, Add to Reading List Source URL: www.sph.uq.edu.au Language: English - Date: 2013-10-16 01:18:25 Health Medical ethics Sociology Positive psychology Community mental health service Mental disorder Global Mental Health Mental health court Psychiatry Medicine Mental health
480	A Framework for Clustering Massive-Domain Data Streams Charu C. Aggarwal IBM T. J. Watson Research Center 19 Skyline Drive, Hawthorne, NY, USA [removed] Add to Reading List Source URL: charuaggarwal.net Language: English - Date: 2009-03-29 23:59:19 Cluster analysis Hashing Data mining Data stream clustering K-means clustering Count-Min sketch Segmentation Pattern recognition Determining the number of clusters in a data set Statistics Machine learning Multivariate statistics

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