توضیحات
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He stays in Colorado and enjoys an outdoor lifestyle, playing guitar, and travelling. Overview: This course introduces students to data mining and to the functionality available within IBM SPSS Modeler. We will discuss how to read data into Modeler.
Сайт разработчика: Разрядность: 32bit+64bit Совместимость с Vista: полная Совместимость с Windows 7: полная Язык интерфейса: Английский Таблэтка: Присутствует Системные требования: Аппаратное обеспечение - Процессор: Intel x86 или аналогичный для 32-битной Windows ; - Процессор: Intel x64 или аналогичный для 64-битной Windows ; - Оперативная память: не менее 2 Гб; - Разрешение экрана: не менее 1024x768; - Место на жёстком диске: не менее 2 Гб. SPSS Modeler Server also provides support for SQL optimization and in-database modeling capabilities, delivering further benefits in performance and automation. Операционная система - Microsoft Windows XP SP3 Professional; x86 и x64 ; - Microsoft Windows Vista SP2 Business и Enterprise; x86 и x64 ; - Microsoft Windows 7 SP1 Professional и Enterprise; x86 и x64. Моделируйте ситуации и определяйте факторы, влияющие на них - используйте в своих интересах имеющиеся возможности и смягчайте риски.
توضیحات - The Data Understanding Phase addresses the need to understand what your data resources are and the characteristics of those resources.
IBM SPSS Modeler is a data mining workbench that helps you build predictive models quickly and intuitively, without programming. Analysts typically use SPSS Modeler to analyze data by doing data mining and then deploying models. Overview: This course introduces students to data mining and to the functionality available within IBM SPSS Modeler. The series of stand-alone videos, are designed to introduce students to specific nodes or data mining topics. Each video consists of detailed instructions explaining why we are using a technique, in what situations it is used, how to set it up, and how to interpret the results. This course is broken up into phases. The Introduction to Data Mining Phase is designed to get you up to speed on the idea of data mining. You will also learn about the CRISP-DM methodology which will serve as a guide throughout the course and you will also learn how to navigate within Modeler. The Data Understanding Phase addresses the need to understand what your data resources are and the characteristics of those resources. We will discuss how to read data into Modeler. We will also focus on describing, exploring, and assessing data quality. The Data Preparation Phase discusses how to integrate and construct data. While the Modeling Phase will focus on building a predictive model. The Evaluation Phase focuses how to take your data mining results so that you can achieve your business objectives. And finally the Deployment Phase allows you to do something with your findings.
Get a handle on the most efficient ways of extracting data from your own sources, preparing it for exploration and modeling. The series of stand-alone videos, are designed to introduce students to specific nodes or data mining topics. If you're looking for a statistics program capable of doing everything you need for your business or research, IBM SPSS Statistics Base may be just what you need. On a conclusive note we can say that is a very handy tool which is equally useful for beginners as well as professionals. She is also co-author of Big Data, Mining and Analytics: Key Components for Strategic Decisions forthcoming from CRC Press, Editor: Stephan Kudyba. Currently we do not have a direct download link available for IBM SPSS Modeler. SPSS Modeler Server also provides support for SQL optimization and in-database modeling capabilities, delivering further benefits in performance and automation. Each method has certain strengths and is best suited for particular types of problems. It has quality prediction models and analysis methods. You can think it like a lightweight analytics software alternative to.