'Data mining analysis' diaporamas de présentation

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????. ?????????? ???? : ?????? ?????? ??? 7102042012. Analysis of topographic and vegetative factors with data mining for landslide verification. Ecological Engineering ? 2013. Fuan Tsai a,b,? , Jhe-Syuan Lai b , Walter W. Chen c , Tang-Huang Lin a

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GUS The G enomics U nified S chema A Platform for Genomics Databases

GUS The G enomics U nified S chema A Platform for Genomics Databases. V. Babenko, B. Brunk, J.Crabtree, S. Diskin, S. Fischer, G. Grant, Y. Kondrahkin, L.Li, J. Liu, J. Mazzarelli, D. Pinney, A. Pizarro, E. Manduchi, S. McWeeney, J. Schug, C. Stoeckert

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GUS The G enomics U nified S chema A Platform for Genomics Databases

GUS The G enomics U nified S chema A Platform for Genomics Databases. V. Babenko, B. Brunk, J.Crabtree, S. Diskin, S. Fischer, G. Grant, Y. Kondrahkin, L.Li, J. Liu, J. Mazzarelli, D. Pinney, A. Pizarro, E. Manduchi, S. McWeeney, J. Schug, C. Stoeckert

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Leveraging Trilinos for Data Mining & Data Analysis

Leveraging Trilinos for Data Mining & Data Analysis. Danny Dunlavy (1415) Tim Shead (1424) Pat Crossno (1424). SAND 2007-7233C. Outline. Motivation Current requirements Titan / ThreatView TM LSALIB Epetra / Anasazi / RBGen Future Requirements Conclusions. Motivation. Database.

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Bioinformatica Corso di Laurea Specialistica in Informatica Microarray e Biomarcatori 06/05/2011

Bioinformatica Corso di Laurea Specialistica in Informatica Microarray e Biomarcatori 06/05/2011. Classification of microarray samples. We are given a set (called Learning set) of Microarrays expressions data coming from several classes of samples (patients)

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Integration services: used to integrate data from different data sources. Analysis Services:

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Business Plug-In B18

Business Plug-In B18. Business Intelligence. LEARNING OUTCOMES. Explain the problem associated with business intelligence. Describe the solution to this business problem. Describe the three common forms of data-mining analysis. Compare tactical, operational, and strategic BI.

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Data Mining

Data Mining. By : Tung, Sze Ming ( Leo ) CS 157B. Definition. A class of database application that analyze data in a database using tools which look for trends or anomalies. Data mining was invented by IBM. Purpose.

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Chapter 17 Preparing Data for Mining

Chapter 17 Preparing Data for Mining. Introduction. Just as manufacturing and refining are about transformation of raw materials into finished products, so too with data to be used for data mining

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