Introduction to Knime 1

Transcription

1 Introduction to Knime 1 Marta Arias marias@lsi.upc.edu Dept. LSI, UPC Fall Thanks to José L. Balcázar for the slides, they are essentially a copy from a tutorial he gave.

2 KNIME, I KNIME,[naim], data mining and data processing visual, modular environment; open source commercial software:

3 KNIME, I KNIME,[naim], data mining and data processing visual, modular environment; open source commercial software: many smoothly-working extensions under KNIME Labs and under Community Contributions in tech.knime.org, including Text Processing (filters, stemmers... ), Indexing and Searching (a port of Lucene), a port of Christian Borgelt s data mining software, the Pascal-2 STARK-branded Yacaree Associator (initial version), and many many many more.

4 KNIME, II Highlights Programmed as an Eclipse plug-in: Basically Java, can integrate scripting through the extensions. 8 versions: Linux/Windows, 32/64 bit architectures, user/developer versions; no sudo/admin/root privileges necessary (does not access the Windows registry); can be fully installed into a USB pendrive - then it can be used on any machine (of the correct architecture); based on tables, (almost) automatic handling of caching and secondary storage; very easy expansion with additional nodes (modules).

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6 2. add nodes to it:

7 2. add nodes to it: find them in the Node Repository, and

8 2. add nodes to it: find them in the Node Repository, and drag-and-drop into the Workflow Editor;

9 2. add nodes to it: find them in the Node Repository, and drag-and-drop into the Workflow Editor; 3. connect compatible node ports by mouse dragging (triangle ports are tables, always compatible);

10 2. add nodes to it: find them in the Node Repository, and drag-and-drop into the Workflow Editor; 3. connect compatible node ports by mouse dragging (triangle ports are tables, always compatible); 4. configure the nodes (double-click or right mouse button);

11 2. add nodes to it: find them in the Node Repository, and drag-and-drop into the Workflow Editor; 3. connect compatible node ports by mouse dragging (triangle ports are tables, always compatible); 4. configure the nodes (double-click or right mouse button); 5. and... run them!

12 2. add nodes to it: find them in the Node Repository, and drag-and-drop into the Workflow Editor; 3. connect compatible node ports by mouse dragging (triangle ports are tables, always compatible); 4. configure the nodes (double-click or right mouse button); 5. and... run them! 6. Alternatively, download or import somebody else s ready-made example workflows (coming).

13 I Getting Started: Compare 1-NN vs. decision trees on Iris dataset Load data into workflow (File Reader node) Color-code classes (Color Manager node) Split data into training and test sets (Partitioning node) Add Decision Tree Learner and Predictor nodes Add scorer to get confusion matrix, inspect and highlight Add K Nearest Neighbor node with its Scorer to see performance

14 II Get your hands dirty Elementary tips and tricks Have a look at the Search capability of the Node Repository. Double-click in the Node Repository makes the node appear in the Workflow Editor, and connects it to the currently selected node, if there is one. Other run options: Single-run button in panel above executes the selected node, run-and-show button opens up the result for you to see it, multi-run button launches all runnable nodes.

15 More information available from.. Book Beginner s Luck Knime s getting-started documentation Knime s short video tutorials