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  • 9 free books for learning data mining & data analysis

    This list compiled by Alex Ivanovs brings together a range of books aimed at both beginners and those who are looking to fill in gaps in their knowledge.
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  • Fishbone diagram (cause and effect diagram)

    This short guide describes the process of using a fishbone diagram to help uncover and visualise stakeholder perceptions of the root causes of a problem. It is often used in conjunction with the 'Five Whys' technique.
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  • The Five Whys Technique

    This paper from the Asian Development Bank (ADB) outlines the process of using the Five Whys technique as an effective approach to problem solving.
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  • Learning to evaluate capacity development and collaborative learning

    Community-based natural resource management (CBNRM) in Asia faces the challenge of assessing and documenting the role of capacity development in enhancing CBNRM outcomes.
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  • Five Whys

    The Five Whys is an easy question asking option that examines the cause-and-effect relationships that underly problems.
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  • Learning alliances

    Learning alliances involve a structured partnership between two or more organisations with the aim of working together to build and share knowledge around topics of mutual interest.
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  • Data mining

    Data mining is the systematic process of discovering patterns in data sets through the use of computer algorithms.
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  • Learning alliances: An approach for building multi-stakeholder innovation systems

    Millions of dollars are spent each year on research and development (R&D) initiatives in an attempt to improve rural livelihoods in the developing world, but rural poverty remains an intractable problem in many places.
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  • Tools for knowledge and learning: A guide for development and humanitarian organisations

    This tool kit presents entry points and references to the wide range of tools and methods that have been used to facilitate improved knowledge and learning in the development and humanitarian sectors.
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  • An introduction to data mining

    This webpage, produced by Kurt Thearling, provides an extensive overview of data mining and its applications. The page includes specific examples and links to a tutorial and research papers on data mining.
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