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Features of KNIME: KNIME [25] is an open-source analytical platform for data science. It helps to understand and design data science workflows, understanding time-series data analysis, to build machine learning models, and understand the data using visualization tools (charts, plots, etc.). It also helps to export the reports generated. KNIME workbench consists of KNIME explorer, Workflow bench, Node Repository, Workflow Editor, Description, Outline, and Console. It supports the data wrangling technique where one can collect and process the data from any source. It comes in two flavors:

 ◦ KNIME analytical platform

 ◦ KNIME server.

 Both these platforms are available in Microsoft Azure and Amazon AWS

KNIME TOOL Installation

You can download the installer from the KNIME website. Once you successfully download it start the installation as specified in the next diagrams (Figure 1.5). Every installation requires you must accept the agreement, click on the button and accept the agreement (Figure 1.6). Installation requires specifying the path for installing the software, and as shown in the above diagram, it is a default path. If you wish, you can change the path by clicking on the “Browse” (Figures 1.7 and 1.8).

Figure 1.5 Installation of KNIME.

Figure 1.6 Installation of KNIME (2).

Figure 1.7 Setting path for installing KNIME.

Figure 1.8 Starting installation of KNIME.

Figures 1.9–1.16 show the complete workflow for selecting a Workspace path, and if you want to change the way, you can change it by clicking on the “Browse.” Finally, Figure 1.16 gives you the home screen for mining purpose.

Figure 1.9 Selecting directory as a workspace.

Figure 1.10 Starting KNIME.

Figure 1.11 Completing setup wizard.

Figure 1.12 Installing Workspace in KNIME.

Figure 1.13 Installing KNIME (2).

Figure 1.14 Specifying memory for KNIME.

Figure 1.15 Finalizing the installation of KNIME.

Figure 1.16 Initial screen of KNIME.