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Data Mining process involves discovering and identifying techniques in large data sets by companies. It is a very good topic for research and thesis.
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Source for simple English explanations about data mining. I'm writing as I learn from Coursera classes about data mining, machine learning, python...
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This Web log maintains an alternative layout of the tutorials about Tanagra. Each entry describes shortly the subject, it is followed by the link to the tutorial (pdf) and the dataset. The technical references (book, papers, website,...) are also provided. In some tutorials, we compare the results of Tanagra with other free software such as Knime, Orange, R software, Python, Sipina or Weka.
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ELKI Data Mining Framework
Open-Source Data Mining with Java.
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MEmob is a data and location-driven product. Our reputation for the best service in the industry is due to personalized, responsive and solution-oriented relationships with our clients.
Manual Principles of Data Mining
Principles of Data Mining. Series Foreword. Preface. Chapter 1 - Introduction. Chapter 2 - Measurement and Data. Chapter 3 - Visualizing and Exploring Data.
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Sportwetten (Fußball) mit Data Mining und Berechnung der Wahrscheinlichkeit profitabel realisieren.
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Datenmarktplatz (IDSA-Standard) zur Monetarisierung von z.B. IoT-Daten für Data Analytics, Machine Learning und Data Mining bei voller Datensouveränität.
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All students deserve a great education, and every adult working with children needs timely, useful information to support student learning. Effective data use ensures that students aren’t just counted but that each student counts.
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