KNIME essentials
Perform accurate data analysis using the power of KNIME Learn the essentials of KNIME, from importing data to data visualization and reporting Utilize a wide range of data processing solutions Visualize your final data sets using KNIME's powerful data visualization options In Detail KNIME is an...
| Autor principal: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing
2013.
|
| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627674706719 |
Tabla de Contenidos:
- Intro
- KNIME Essentials
- Table of Contents
- KNIME Essentials
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Support files, eBooks, discount offers and more
- Why Subscribe?
- Free Access for Packt account holders
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Downloading the example code
- Errata
- Piracy
- Questions
- 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 handling
- Node controls
- HiLite
- Variable flows
- Meta nodes
- Workflow lifecycle
- Other views
- Summary
- 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
- GroupBy
- Pivoting 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
- Regular expressions
- 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
- 3. Data Exploration
- Computing statistics
- Overview 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 nodes
- The 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
- 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
- Binding
- Dynamic text
- Data
- Image
- Grid
- List
- Groups
- Sorting
- Filters
- Table
- Chart
- Cross Tab
- Setting up
- Changing
- Using data cubes.
- Quick Tools
- Aggregation
- Relative time period
- Generating reports
- Using colors
- Using HiLite
- Using workflow variables
- Suggested readings
- Summary
- Index.
