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  • KNIME exploration, image analysis point of view

    \tableofcontents

    Introduction

    Introduction/potential interest

    What is Knime?

    From Knime wikipedia article:

    The Konstanz Information Miner, is an open source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept. A graphical user interface allows assembly of nodes for data preprocessing (ETL: Extraction, Transformation, Loading), for modeling and data analysis and visualization.

    What is the interest of Knime for image analysis?

    • Possibility to build Heterogeneous pipeline combining python/R/matlab/ImageJ(Java)
    • Automation of the batch processing and its parallelization
    • Access to reporting and data analyzis function

    What is the interest of KNIME for a service?

    • Unify complex pipeline in a single workflow that can be proposed in service portfolio and can be enhanced for more versatility
    • ease reuse of basic pipeline while avoiding to rebuild the infrastructure part of the analysis (reporting, batch processing, experimental condition handling for instance)

    One see a view of Knime interface in Figure \ref{fig:GeneralView}

    \label{fig:GeneralView} General view of the Knime interface