KNIME Essentials. (2013)

• Record Type: Book
• Other Names: Bakos, Gábor
• Contents: Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Installing and Using KNIME; Few words about KNIME; Installing KNIME; Installation using the archive; KNIME for Windows; KNIME for Linux; KNIME for Mac OS X; Troubleshooting; KNIME terminologies; Organizing your work; Nodes; Node lifecycle; Meta nodes; Ports; Data tables; Port view; Flow variables; Node views; HiLite; Eclipse concepts; Preferences; Logging; User interface; Getting started; Setting preferences; KNIME; Other preferences; Installing extensions; Workbench. Workflow handlingNode controls; Meta nodes; Workflow lifecycle; Other views; Summary; Chapter 2: Data Preprocessing; Importing data; Importing data from a database; Starting Java DB; Importing data from tabular files; Importing data from web services; REST services; Importing XML files; Importing models; Other formats; Public data sources; Regular expressions; Basic syntax; Partial versus whole match; Usage from Java; References and tools; Alternative pattern description; Transforming the shape; Filtering rows; Sampling; Appending tables; Less columns; Dimension reduction; More columns. GroupByPivoting and Unpivoting; One2Many and Many2One; Cosmetic transformations; Renames; Changing the column order; Reordering the rows; The row ID; Transpose; Transforming values; Generic transformations; Java snippets; The Math Formula node; Conversion between types; Binning; Normalization; Text normalization; Multiple columns; XML transformation; Time transformation; Smoothing; Data generation; Generating the grid; Constraints; Loops; Workflow customization; Case study -- finding min-max in the next n rows; Case study -- ranks within groups; Summary; Chapter 3: Data Exploration. Computing statisticsOverview of visualizations; Visual guide for the views; Distance matrix; Using visual properties; Color; Size; Shape; KNIME views; HiLite; Use cases for HiLite; Row IDs; Extreme values; Basic KNIME views; The Box plots; Hierarchical clustering; Histograms; Interactive Table; The Lift chart; Lines; Pie charts; The Scatter plots; Spark Line Appender; Radar Plot Appender; The Scorer views; JFreeChart; The Bar charts; The Bubble chart; Heatmap; The Histogram chart; The Interval chart; The Line chart; The Pie chart; The Scatter plot; Open Street Map; 3D Scatterplot. Other visualization nodesThe R plot, Python plot, and Matlab plot; The official R plots; The RapidMiner view; The HiTS visualization; Tips for HiLiting; Using Interactive HiLite Collector; Finding connections; Visualizing models; Further ideas; Summary; Chapter 4: Reporting; Installation of the reporting extensions; Reporting concepts; Importing data; Sending data and images to a report; Importing from other sources; Joining data sets; Preferences; Using the designer; In visible views; Report properties; Report items; Label; Text; Dynamic text; Data; Image; Grid; List; Table; Chart; Cross Tab.
• Publisher Details: Place of publication not identified : Packt Publishing
• Publication Date: 2013
• Extent: 1 online resource
• Subjects: 005.72; COMPUTERS -- Programming Languages -- JavaScript; Data mining; Open source software; Data mining; Machine learning; COMPUTERS -- Web -- Page Design; Data mining; Open source software; COMPUTERS -- Mathematical & Statistical Software; Electronic books
• Languages: English
• ISBNs: 1299999123; 9781299999121; 9781849699228; 1849699224
• Related ISBNs: 1849699216; 9781849699211
• Notes: Note: Includes bibliographical references and index.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.