�ݺ�ߣshows by User: MizanurRahmanNur

�ݺ�ߣshows by User: MizanurRahmanNur / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: MizanurRahmanNur / Sun, 01 Jul 2018 05:07:31 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: MizanurRahmanNur Time series arima using "Risk Simulator" /slideshow/time-series-arima-using-risk-simulator/103821916 time-seriesarima-180701050731
In briefly, ARIMA econometric modeling takes into account historical data and decomposes it into an Autoregressive (AR) process, where there is a memory of past events (e.g., the interest rate this month is related to the interest rate last month, and so forth, with a decreasing memory lag). ARIMA models has three model parameters, one for the AR(p) process, one for the I(d) process, and one for the MA(q) process, all combined and interacting among each other and recomposed into the ARIMA (p,d,q) model.]]>
In briefly, ARIMA econometric modeling takes into account historical data and decomposes it into an Autoregressive (AR) process, where there is a memory of past events (e.g., the interest rate this month is related to the interest rate last month, and so forth, with a decreasing memory lag). ARIMA models has three model parameters, one for the AR(p) process, one for the I(d) process, and one for the MA(q) process, all combined and interacting among each other and recomposed into the ARIMA (p,d,q) model.]]> Sun, 01 Jul 2018 05:07:31 GMT /slideshow/time-series-arima-using-risk-simulator/103821916 MizanurRahmanNur@slideshare.net(MizanurRahmanNur) Time series arima using "Risk Simulator" MizanurRahmanNur In briefly, ARIMA econometric modeling takes into account historical data and decomposes it into an Autoregressive (AR) process, where there is a memory of past events (e.g., the interest rate this month is related to the interest rate last month, and so forth, with a decreasing memory lag). ARIMA models has three model parameters, one for the AR(p) process, one for the I(d) process, and one for the MA(q) process, all combined and interacting among each other and recomposed into the ARIMA (p,d,q) model. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/time-seriesarima-180701050731-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> In briefly, ARIMA econometric modeling takes into account historical data and decomposes it into an Autoregressive (AR) process, where there is a memory of past events (e.g., the interest rate this month is related to the interest rate last month, and so forth, with a decreasing memory lag). ARIMA models has three model parameters, one for the AR(p) process, one for the I(d) process, and one for the MA(q) process, all combined and interacting among each other and recomposed into the ARIMA (p,d,q) model.

Time series arima using "Risk Simulator" from Md. Mizanur Rahman Nur

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0 Data mining Software "RapidMiner" Presentation /slideshow/data-mining-software-rapidminer-presentation/103821690 datamining-180701050156
Data mining is defined as finding hidden information in a database. Alternatively, it has been called exploratory data analysis, data driven discovery, and deductive learning. "RapidMiner" is use for some Data analytics. Some Basic Functionality of this software is as follows - Clustering KMeans Clustering ReStartsKMeans WekaEMClustering Cluster Classification KMeanWithEvalution KernalKMeans ]]>
Data mining is defined as finding hidden information in a database. Alternatively, it has been called exploratory data analysis, data driven discovery, and deductive learning. "RapidMiner" is use for some Data analytics. Some Basic Functionality of this software is as follows - Clustering KMeans Clustering ReStartsKMeans WekaEMClustering Cluster Classification KMeanWithEvalution KernalKMeans ]]> Sun, 01 Jul 2018 05:01:56 GMT /slideshow/data-mining-software-rapidminer-presentation/103821690 MizanurRahmanNur@slideshare.net(MizanurRahmanNur) Data mining Software "RapidMiner" Presentation MizanurRahmanNur Data mining is defined as finding hidden information in a database. Alternatively, it has been called exploratory data analysis, data driven discovery, and deductive learning. "RapidMiner" is use for some Data analytics. Some Basic Functionality of this software is as follows - Clustering KMeans Clustering ReStartsKMeans WekaEMClustering Cluster Classification KMeanWithEvalution KernalKMeans <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datamining-180701050156-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Data mining is defined as finding hidden information in a database. Alternatively, it has been called exploratory data analysis, data driven discovery, and deductive learning. "RapidMiner" is use for some Data analytics. Some Basic Functionality of this software is as follows - Clustering KMeans Clustering ReStartsKMeans WekaEMClustering Cluster Classification KMeanWithEvalution KernalKMeans

Data mining Software "RapidMiner" Presentation from Md. Mizanur Rahman Nur

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0 https://cdn.slidesharecdn.com/profile-photo-MizanurRahmanNur-48x48.jpg?cb=1612945597 Application Developer, Database Administrator, and Project Manager in a wide variety of business and financial applications. Also an expert in Networking and Data-mining and excels in performance in the realm of web development. I likes to play with programming languages. One of my most powerful ability is cross platform development. Specialties: I'm conversant with numerous programming languages like C#, Android, JAVA, MatLab.Net, MFC, C++, ASP.Net, JAVAScript, JQuery, DHTML, HTML, CSS. http://www.stochasticlogic.com https://cdn.slidesharecdn.com/ss_thumbnails/time-seriesarima-180701050731-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/time-series-arima-using-risk-simulator/103821916 Time series arima usin... https://cdn.slidesharecdn.com/ss_thumbnails/datamining-180701050156-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/data-mining-software-rapidminer-presentation/103821690 Data mining Software "...