KNIME Essentials. (2013)
- Record Type:
- Book
- Title:
- KNIME Essentials. (2013)
- Main Title:
- KNIME Essentials.
- 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; TextCover; 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. … (more)
- 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.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.90414
- Ingest File:
- 01_103.xml