RapidMiner Community Meeting and Conference 2010. Meet developers, practitioners, and researchers from places world-wide! 
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In this webinar, you will get a demonstration of the most important concepts of data mining shown on real-world data sets including the loading and visualizing of those data sets as well as the creation of predictive and descriptive models. 
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This white paper presents ways how to extend RapidMiner 5.0 if it lacks a special function you need. It guides you with step by step examples through all the customization possibilities offered and gives detailed background information how RapidMiner work 
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Exploratory data analysis mainly consists of (semi-)graphical descriptions of data and correlations enabling the analyst to search for patterns or grounding principles. These techniques are covered by this webinar. 
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In many applications the data to be analyzed is stored in relational database system. This webinar will demonstrate the basic access to database systems for reading and writing. 
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It does not matter if the data analyst wants to tackle a direct marketing problem, the problem of churn prevention or preventive maintenance: In all cases it is a predictive model which delivers the results. Predictive modeling is covered by this webinar. 
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Data Mining has become the key technology for finding those knowledge patterns and transforming them into operational models helping to reduce costs or identifying future chances. In this webinar, you will learn all necessary concepts. 
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This webinar demonstrates how data mining can be employed in various accounting, controlling, and auditing related tasks by companies, financial institutions, insurance companies, and tax authorities. 
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Understanding the backgrounds and application areas of the most important regression schemes turns out to be the key factor of successful analysts. This webinar introduces and analyzes the most important regression methods. 
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Before data mining models can be deployed, it has to be ensured that the created model will perform like expected. This webinar discusses methods for estimating model performance that should become the most important elements of the analysts' toolbox. 
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Learn how to analyse data from customer transactions to better understand the needs of your customers, to predict their behaviour, and to increase sales and improve profitability by leveraging cross- and up-selling opportunities. 
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Learn how to analyze customer data and to build models describing your customers which can be exploited to better target your marketing activities. 
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Descriptive modeling is the base technique for a task like customer segmentation, automatic text categorization or other related problems. This webinar will introduce everything necessary for successful clustering. 
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Selecting the correct classification scheme is one of the major decisions which have to be made during the analysis process design. This webinar introduces and analyzes the most important classification methods. 
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The most important aspect of successful data analysis is the transformation of the input data into an appropriate format for modeling. This webinar will demonstrate how you can use RapidMiner to perform those analytical ETL tasks. 
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Have you ever wanted to analyze customer data to enhance your marketing activities or tried to predict your customers behaviour? Learn more about it in this webinar. 
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Instead of creating single models only, one can create groups of models and improve the prediction accuracy based on the single predictions. This webinar will discuss some widely used metalearning schemes. 
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Get an introduction into the most important data mining concepts and methods and experience how data mining can be employed in various tasks related to manufacturing. 
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In many practical applications of data analysis the number of used cases must be reduced for scalability reasons or data quality may be poor. This webinar presents data cleansing solutions that are easy to use and will enhance your data mining results. 
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Have you ever tried to make use of so far unprofitable data like web log files? This webinar will show you how to access such log files with RapidMiner and how to analyze them. 
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Get an introduction into the most important data mining concepts and methods and experience how data mining can be employed in various tasks related to manufacturing. 
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During the last years data minig on unstructured data like texts has become a very popular topic. Learn how you could know what your customers think about your products from information freely available in the web. 
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Learn how to solve even the most complex data transformation and analysis tasks by using powerful operators that make heavy use of features like loops, meta operators, and macros. 
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Most data mining techniques only work on specific type of input data. The data analyst has to ensure the correct transformation of the input data before the analysis scheme is applied. This webinar will introduce the essential operators for this purpose. 
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Learning from unstructured data requires special knowledge about appropriate preprocessing steps and methods of analysis. Discover the most important techniques in this webinar. 
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The most important aspect of successful data analysis is the transformation of the input data into an appropriate format for modeling. This webinar shows how this can be achieved with RapidMiner. 
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Get an introduction into the necessary data mining methods and experience how data mining can be employed in various tasks in the financial sector. 
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Learn more about the preprocessing steps for numerical data transformations and statistical regression methods necessary to perform forecasting and generate predictions. 
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With the new RapidMiner Script operator you are able to define arbitrary operations by writing Groovy scripts. Learn how powerful this tool can be. 
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RapidMiner is not only a data mining application but also a complete data mining library which can be integrated into other software products. This webinar shows how to use RapidMiner as a library. 
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