- 2D aggregation
- Animating Using the Visualizer Summary Window
- Interpreting the Summary Window in the Splat Visualizer
- 3D charts
- Mapping the Splat Visualizer Elements
- Mapping the Scatter Visualizer Visual Elements
- 3D landscapes
- Overview of the Tree Visualizer
- accuracy
- assessing
- Evaluating a Model
- Assessing the Accuracy of Models
- adding columns
- Removing and Adding Columns
- aggregation
- Examining Your Results with the Tree Visualizer
- Creating New Columns by Aggregation
- data points
- Overview of the Splat Visualizer
- two-dimensional
- Animating Using the Visualizer Summary Window
- Interpreting the Summary Window in the Splat Visualizer
- analytical data mining
- About Data Mining and Data Mining Methods
- analyzing
- patterns and trends
- Overview of the Splat Visualizer
- relationships
- Overview of the Tree Visualizer
- Overview of the Scatter Visualizer
- animation
- Overview of the Map Visualizer
- animation control panel (Map Visualizer)
- Creating an Animation in the Map Visualizer
- animation control panel (Scatter Visualizer)
- summary window
- Animating Using the Visualizer Summary Window
- animation control panel (Splat Visualizer)
- summary window
- Interpreting the Summary Window in the Splat Visualizer
- annotating data points
- Flagging Important Locations with the Marks Panel
- API
- MineSet and Your Application
- application programming interface
- MineSet and Your Application
- applying a model
- Applying a Model
- applying models
- Applying a Predictive Model
- Deploying a Model
- association rules
- Analyzing Data with Association Rules
- confidence
- Association Rules Generation
- Association Rules Generation
- Setting Up Associations
- expected
- Association Rules Generation
- minimum threshold
- Setting Up Associations
- configuring
- Tool Manager and
- Starting the Association Rules
- converting data
- Setting Up Associations
- displaying
- Rules Visualization
- Interpreting Association Rules in the Scatter Visualizer
- figure
- Interpreting Association Rules in the Scatter Visualizer
- Interpreting Association Rules in the Scatter Visualizer
- drill through
- Drilling Through
- expected confidence
- Association Rules Generation
- generating
- Association Rules Generation
- setting options
- Setting Up Associations
- lift
- Association Rules Generation
- mapping data to
- Mapping Rule Attributes to Visual Elements
- market basket
- Association Rules Generation
- multiway
- Multiway Association Rules
- displaying
- Multiway Association Rules
- record weighting
- Record Weighting
- setting up associations
- Setting Up Associations
- support
- Setting Up Associations
- Association Rules Generation
- minimum threshold
- Setting Up Associations
- Association Rules Generator
- Analyzing Data with Association Rules
- displaying legends
- Rules Visualization
- output
- Association Rules Generation
- setting options
- Setting Up Associations
- Tool Manager and
- Setting Up Associations
- Association Rules Mappings panel
- Mapping Rule Attributes to Visual Elements
- Association Rules Visualizer
- figure
- Rules Visualization
- main window
- Rules Visualization
- associations
- Associations
- backfitting
- Backfitting in Error Estimation
- bars
- decision trees and
- Examining Your Results with the Decision Tree Visualizer
- negative values and
- Examining Your Results with the Tree Visualizer
- bases
- Examining Your Results with the Tree Visualizer
- Examining Your Results with the Tree Visualizer
- decision trees and
- Examining Your Results with the Decision Tree Visualizer
- binning
- custom
- Changing or Creating New Bins for Columns
- even threshold
- Changing or Creating New Bins for Columns
- binning columns
- Changing or Creating New Bins for Columns
- Boosting
- Improving Accuracy with Boosting
- box plots, understanding
- Understanding Box Plots
- building models
- Building a Model
- buttons, Tool Manager
- Transforming Data with the Tool Manager
- categorical data in Splat Visualizer
- Viewing Categorical Data in the Splat Visualizer
- changing column type
- Changing a Column Type or Name
- changing marks
- Flagging Important Locations with the Marks Panel
- Flagging Important Locations with the Marks Panel
- child nodes
- option trees and
- Examining Your Results with the Option Tree Visualizer
- classes
- specifying
- Examining Your Results with the Decision Tree Visualizer
- classification
- Classification
- classification rules
- Classifying a Record Using the Decision Tree Main Window
- Classifier and Error mode
- Holdout Error Estimation
- classifier modes
- Evaluating a Predictive Model
- Classifier and Error
- Holdout Error Estimation
- Classifier Only
- Classifying Using All Your Data
- Estimate Error
- Cross-Validation Error Estimation
- Learning Curve
- Creating a Learning Curve
- Classifier Only mode
- Classifying Using All Your Data
- classifiers
- applying to records
- Backfitting in Error Estimation
- confusion matrices
- Using a Confusion Matrix to Investigate Errors
- loss matrices
- Defining a Loss Matrix
- Close button
- filter dialogs
- Flagging Important Locations with the Marks Panel
- Cluster Visualizer
- Segmenting the Data with Clustering
- clustering
- Clustering
- Segmenting the Data with Clustering
- methods
- Starting Clustering with Tool Manager
- starting
- Starting Clustering with Tool Manager
- visualizer
- Understanding the Cluster Visualizer Main Window
- colors
- decision trees
- Examining Your Results with the Decision Tree Visualizer
- column
- importance
- Finding Important Columns
- columns
- adding
- Removing and Adding Columns
- binning
- Changing or Creating New Bins for Columns
- changing names
- Changing a Column Name
- changing type
- Changing a Column Type or Name
- removing
- Removing and Adding Columns
- type, definition
- Changing a Column Type
- confidence
- Association Rules Generation
- Setting Up Associations
- Association Rules Generation
- minimum threshold
- Setting Up Associations
- configuring association rules
- Tool Manager and
- Starting the Association Rules
- confusion matrix
- Using a Confusion Matrix to Investigate Errors
- Constant command
- Changing the Scatter Visualizer Display with the Shape Menu
- Changing the Splat Visualizer Display with the Shape Menu
- cutting selection information
- Select Mode in the Splat Visualizer
- data
- identifying
- Identifying the Data
- preparing
- Preparing the Data
- Data Destination pane
- Cluster
- Starting Clustering with Tool Manager
- data mining
- About Data Mining and Data Mining Methods
- analytical
- About Data Mining and Data Mining Methods
- and OLAP
- About Data Mining and Data Mining Methods
- methods
- About Data Mining and Data Mining Methods
- survey
- Surveying the Data Mining Process
- visual
- About Data Mining and Data Mining Methods
- Visual Data Mining
- data points
- aggregating
- Overview of the Splat Visualizer
- annotating
- Flagging Important Locations with the Marks Panel
- data transformation
- Transforming Data with the Tool Manager
- Data Transformations pane
- Transforming Data with the Tool Manager
- datasets
- displaying data
- Overview of the Map Visualizer
- Overview of the Map Visualizer
- 3D landscapes
- Overview of the Tree Visualizer
- animation control panel
- Creating Animations in the Scatter and Splat Visualizers
- finding specific values
- Finding Specific Objects with the Search Panel
- Decision Table
- overview
- Decision Table Model
- Decision Tree
- overview
- Decision Tree Model
- Decision Tree Inducer
- classification rules
- Classifying a Record Using the Decision Tree Main Window
- viewing node information
- Examining Your Results with the Decision Tree Visualizer
- decision trees
- classifying records
- Classifying a Record Using the Decision Tree Main Window
- displaying
- Examining Your Results with the Option Tree Visualizer
- error/loss estimates
- Examining Your Results with the Decision Tree Visualizer
- measure of purity
- Examining Your Results with the Decision Tree Visualizer
- nodes
- viewing information
- Examining Your Results with the Decision Tree Visualizer
- Delete button
- Flagging Important Locations with the Marks Panel
- deleting marks
- Flagging Important Locations with the Marks Panel
- Flagging Important Locations with the Marks Panel
- deploying models
- Deploying a Model
- descendent nodes
- Examining Your Results with the Tree Visualizer
- display options
- Map Visualizer
- Mapping to Maps
- display parameters
- Fine-Tuning the Tree Visualizer Display
- displaying
- data
- Overview of the Map Visualizer
- Overview of the Map Visualizer
- Overview of the Tree Visualizer
- animation control panel
- Creating Animations in the Scatter and Splat Visualizers
- decision tree nodes
- Examining Your Results with the Decision Tree Visualizer
- decision trees
- Examining Your Results with the Option Tree Visualizer
- option trees
- Examining Your Results with the Option Tree Visualizer
- displaying association rules
- Rules Visualization
- Interpreting Association Rules in the Scatter Visualizer
- documentation
- typographic conventions
- Typographical Conventions
- Down button
- Flagging Important Locations with the Marks Panel
- drill through
- association rules and
- Drilling Through
- Drill Through Columns command
- Selecting and Drilling Through in the Scatter Visualizer
- endpoints
- Overview of the Map Visualizer
- Error Estimate Options
- mean absolute error
- Error Estimation in Regression Tree
- mean square error
- Error Estimation in Regression Tree
- error estimation
- Evaluating a Predictive Model
- Regression Tree Inducer
- Error Estimation in Regression Tree
- error rate (option trees)
- Examining Your Results with the Option Tree Visualizer
- error/loss estimate
- Examining Your Results with the Decision Tree Visualizer
- Estimate Error mode
- Cross-Validation Error Estimation
- estimating error
- Evaluating a Predictive Model
- evaluating models
- Evaluating a Predictive Model
- evalutating models
- Assessing the Accuracy of Models
- Evaluating a Model
- Evidence
- overview<$startrange
- Evidence Model
- Evidence Inducer
- running
- Starting the Decision, Option, and Regression Trees
- Starting the Decision Table
- expected confidence
- Association Rules Generation
- F1 help
- Getting Help
- filter
- Restricting Column Contents by Filtering
- Filter button
- Changing the Displays
- Filter Panel
- Record Viewer
- Filtering Data in Record Viewer
- Scatter Visualizer
- Changing the Displays
- filtering data
- Record Viewer
- Filtering Data in Record Viewer
- finding important columns
- Finding Important Columns
- finding specific values
- Finding Specific Objects with the Search Panel
- flat planes
- Overview of the Map Visualizer
- Gaussian command
- Changing the Splat Visualizer Display with the Shape Menu
- generating association rules
- Association Rules Generation
- generating models
- Generating a Model
- getting help
- Getting Help
- Go to button
- Flagging Important Locations with the Marks Panel
- help
- Getting Help
- hierarchies
- Overview of the Tree Visualizer
- highlighting objects
- Map Visualizer
- Selecting and Drilling Through
- Scatter Visualizer
- Selecting and Drilling Through in the Scatter Visualizer
- Selecting and Drilling Through in the Scatter Visualizer
- Splat Visualizer
- Select Mode in the Splat Visualizer
- Tree Visualizer
- Highlighting an Object or Node
- Histogram Visualizer
- Starting the Histogram Visualizer
- starting
- Starting the Histogram Visualizer
- histograms, understanding
- Understanding Histograms
- holdout error estimation
- Holdout Error Estimation
- identifying data
- Identifying the Data
- iterative k-means
- Starting Clustering with Tool Manager
- Starting Clustering with Tool Manager
- k-means
- iterative
- Starting Clustering with Tool Manager
- simple
- Starting Clustering with Tool Manager
- landscapes
- Overview of the Tree Visualizer
- leaf nodes
- Examining Your Results with the Decision Tree Visualizer
- Learning Curve
- using
- Creating a Learning Curve
- Learning Curve mode
- Creating a Learning Curve
- legends
- association rules
- Rules Visualization
- lift
- Association Rules Generation
- lift curve
- Examining Prediction with a Lift Curve
- Linear command
- Changing the Splat Visualizer Display with the Shape Menu
- locations
- marking
- Flagging Important Locations with the Marks Panel
- loss matrix
- Defining a Loss Matrix
- main windows
- Map Visualizer
- Examining the Map Visualizer
- Regression Tree
- Examining Your Results with the Regression Tree Visualizer
- Scatter Visualizer
- Examining Results in the Scatter and Splat Visualizers
- Splat Visualizer
- Examining Results in the Scatter and Splat Visualizers
- Tree Visualizer
- Overview of the Tree Visualizer
- Map Visualizer
- animation control panel
- Creating an Animation in the Map Visualizer
- displaying data
- Overview of the Map Visualizer
- Overview of the Map Visualizer
- main window
- Examining the Map Visualizer
- null values and
- Visualizing Null Data
- options
- saving
- Mapping to Maps
- selecting objects
- Selecting and Drilling Through
- viewing modes
- Viewing Modes
- Map Visualizer's Options dialog box
- Mapping to Maps
- mappings
- association rules and
- Mapping Rule Attributes to Visual Elements
- strings
- Transforming the Data for the Scatter and Splat Visualizers
- Mark button
- Flagging Important Locations with the Marks Panel
- market basket analysis
- Association Rules Generation
- Marks command
- Flagging Important Locations with the Marks Panel
- .marks filename extensions
- Flagging Important Locations with the Marks Panel
- Marks panel
- Flagging Important Locations with the Marks Panel
- getting current location
- Flagging Important Locations with the Marks Panel
- mean squared error
- Error Estimation in Regression Tree
- measure of purity
- Examining Your Results with the Decision Tree Visualizer
- menus
- Scatter Visualizer
- Manipulating Scatter and Splat Visualizer Results
- Splat Visualizer
- Manipulating Scatter and Splat Visualizer Results
- MineSet
- starting
- Starting MineSet
- MineSet API
- MineSet and Your Application
- MineSet tools
- MineSet Tools for Data Mining
- minimum confidence threshold
- Setting Up Associations
- minimum support threshold
- Setting Up Associations
- modeling
- overview
- Overview of Predictive Modeling
- supervised
- Supervised Modeling
- unsupervised
- Unsupervised Modeling
- models
- applying
- Deploying a Model
- Applying a Predictive Model
- assessing accuracy
- Evaluating a Model
- Assessing the Accuracy of Models
- building
- Building a Model
- deploying
- Deploying a Model
- evaluating
- Assessing the Accuracy of Models
- Evaluating a Model
- Evaluating a Predictive Model
- generating
- Generating a Model
- selecting
- Selecting a Model
- modifing marks
- Flagging Important Locations with the Marks Panel
- Modify button
- Flagging Important Locations with the Marks Panel
- motion trails
- illustration
- Showing Animation Trails in the Scatter Visualizer
- Scatter Visualizer and
- Showing Animation Trails in the Scatter Visualizer
- multiple objects, selecting
- Selecting an Object
- multiway rules
- Multiway Association Rules
- displaying
- Multiway Association Rules
- Tool Manager and
- Multiway Association Rules
- Mushroom classification dataset
- confusion matrix for
- Using a Confusion Matrix to Investigate Errors
- Defining a Loss Matrix
- naming
- viewpoints
- Flagging Important Locations with the Marks Panel
- navigating in visualizers
- Navigating in the MineSet 3D Visualizers
- negative values
- Examining Your Results with the Tree Visualizer
- nodes
- Examining Your Results with the Tree Visualizer
- decision trees
- viewing information
- Examining Your Results with the Decision Tree Visualizer
- option trees
- Examining Your Results with the Option Tree Visualizer
- objects
- searching for
- Finding Specific Objects with the Search Panel
- selecting
- Map Visualizer
- Selecting and Drilling Through
- Splat Visualizer
- Select Mode in the Splat Visualizer
- Tree Visualizer
- Finding Specific Objects with the Search Panel
- Selecting an Object
- Highlighting an Object or Node
- Seeing the Whole Picture with Overview
- OLAP and data mining
- About Data Mining and Data Mining Methods
- online help
- Getting Help
- Option Nodes
- Option Tree
- defined
- Option Tree
- ranking
- Examining Your Results with the Option Tree Visualizer
- Option Tree
- overview
- Option Tree Model
- Option Tree inducer
- Decision Tree vs.
- Option Tree
- displaying option trees
- Examining Your Results with the Option Tree Visualizer
- error rates
- Examining Your Results with the Option Tree Visualizer
- overview
- Overview of Decision, Option, and Regression Trees
- outlines
- Fine-Tuning the Tree Visualizer Display
- Outlines File field
- Mapping to Maps
- Overview window (Tree Visualizer)
- Seeing the Whole Picture with Overview
- parameters
- display options
- Fine-Tuning the Tree Visualizer Display
- pasting selection information
- Select Mode in the Splat Visualizer
- patterns
- Overview of the Splat Visualizer
- pick dragger
- Selecting and Drilling Through in the Scatter Visualizer
- Select Mode in the Splat Visualizer
- predictive modeling
- overview
- Overview of Predictive Modeling
- preparing data
- Preparing the Data
- printed documentation
- typographic conventions
- Typographical Conventions
- purity
- Examining Your Results with the Decision Tree Visualizer
- quantities
- Overview of the Tree Visualizer
- Record Viewer
- Viewing the Raw Records with Record Viewer
- Filter Panel
- Filtering Data in Record Viewer
- saving data
- Saving Data in Record Viewer
- starting
- Viewing the Raw Records with Record Viewer
- working with columns
- Changing Record Viewer Columns
- record weighting
- Weighting Records
- association rules and
- Record Weighting
- records
- classifiers and
- Backfitting in Error Estimation
- classifying
- Classifying a Record Using the Decision Tree Main Window
- regression
- Regression
- Regression Tree
- overview
- Regression Tree Model
- Regression Tree Inducer
- error estimation
- Error Estimation in Regression Tree
- overview
- Regression Tree
- relationships, analyzing
- Overview of the Tree Visualizer
- Overview of the Scatter Visualizer
- removing columns
- Removing and Adding Columns
- Return-on-Investment curve
- Finding Marketing Benefits Using a Return on Investment Curve
- ROI curve
- Finding Marketing Benefits Using a Return on Investment Curve
- root nodes
- Examining Your Results with the Tree Visualizer
- Rules Visualizer
- displaying rules
- Interpreting Association Rules in the Scatter Visualizer
- sampling
- Sampling Data
- saving data
- Record Viewer
- Saving Data in Record Viewer
- saving tool options
- Map Visualizer
- Mapping to Maps
- Scatter Visualizer
- Examining Data with the Scatter and Splat Visualizers
- animation control panel
- summary window
- Animating Using the Visualizer Summary Window
- displaying data
- Animating Using the Visualizer Summary Window
- main window
- Examining Results in the Scatter and Splat Visualizers
- menus
- Manipulating Scatter and Splat Visualizer Results
- motion trails
- Showing Animation Trails in the Scatter Visualizer
- illustration
- Showing Animation Trails in the Scatter Visualizer
- options
- Select Mode in the Splat Visualizer
- overview
- Overview of the Scatter and Splat Visualizers
- selecting objects
- Selecting and Drilling Through in the Scatter Visualizer
- Selecting and Drilling Through in the Scatter Visualizer
- viewing modes
- Viewing Modes
- scatterplots
- Overview of the Splat Visualizer
- search spotlights
- Finding Specific Objects with the Search Panel
- searches
- Finding Specific Objects with the Search Panel
- select mode
- Splat Visualizer
- Select Mode in the Splat Visualizer
- selecting models
- Selecting a Model
- selecting objects
- Map Visualizer
- Selecting and Drilling Through
- Scatter Visualizer
- Selecting and Drilling Through in the Scatter Visualizer
- Selecting and Drilling Through in the Scatter Visualizer
- Splat Visualizer
- Select Mode in the Splat Visualizer
- Tree Visualizer
- Finding Specific Objects with the Search Panel
- Selecting an Object
- Highlighting an Object or Node
- Overview window
- Seeing the Whole Picture with Overview
- Selection menu
- Map Visualizer
- Selecting and Drilling Through
- Scatter Visualizer
- Selecting and Drilling Through in the Scatter Visualizer
- setting up association rules
- Setting Up Associations
- shaping the data
- Tool Manager
- Why Shape the Data?
- why shape the data?
- Why Shape the Data?
- Show Original Data command
- Selecting and Drilling Through in the Scatter Visualizer
- Show Pick Dragger command
- Selecting and Drilling Through in the Scatter Visualizer
- Show Values command
- Selecting and Drilling Through in the Scatter Visualizer
- Selecting and Drilling Through in the Scatter Visualizer
- Selecting and Drilling Through in the Scatter Visualizer
- simple k-means
- Starting Clustering with Tool Manager
- slider
- creation
- Creating Sliders for the Scatter Visualizer
- Splat Type menu
- Changing the Splat Visualizer Display with the Shape Menu
- Changing the Scatter Visualizer Display with the Shape Menu
- Splat Visualizer
- Examining Data with the Scatter and Splat Visualizers
- aggregating data points
- Overview of the Splat Visualizer
- analyzing data
- Overview of the Splat Visualizer
- animation control panel
- summary window
- Interpreting the Summary Window in the Splat Visualizer
- categorical data
- Viewing Categorical Data in the Splat Visualizer
- displaying data
- Interpreting the Summary Window in the Splat Visualizer
- Changing the Scatter Visualizer Display with the Shape Menu
- Changing the Splat Visualizer Display with the Shape Menu
- getting information
- Select Mode in the Splat Visualizer
- main window
- Examining Results in the Scatter and Splat Visualizers
- menus
- Manipulating Scatter and Splat Visualizer Results
- overview
- Overview of the Splat Visualizer
- selecting objects
- Select Mode in the Splat Visualizer
- splats
- defined
- Overview of the Splat Visualizer
- drawing options
- Changing the Splat Visualizer Display with the Shape Menu
- spotlights
- Finding Specific Objects with the Search Panel
- Selecting an Object
- starting
- clustering
- Starting Clustering with Tool Manager
- Histogram Visualizer
- Starting the Histogram Visualizer
- MineSet
- Starting MineSet
- Record Viewer
- Viewing the Raw Records with Record Viewer
- Statistics Visualizer
- Starting the Statistics Visualizer
- Statistics Visualizer
- Seeing Record Statistics with the Statistics Visualizer
- box plots, understanding
- Understanding Box Plots
- histograms, understanding
- Understanding Histograms
- starting
- Starting the Statistics Visualizer
- storing
- data locations
- Flagging Important Locations with the Marks Panel
- strings
- mapping
- Transforming the Data for the Scatter and Splat Visualizers
- Subtree weight option
- Examining Your Results with the Regression Tree Visualizer
- summary values
- Examining Your Results with the Tree Visualizer
- summary window (Scatter Visualizer)
- Animating Using the Visualizer Summary Window
- summary window (Splat Visualizer)
- Interpreting the Summary Window in the Splat Visualizer
- supervised modeling
- Supervised Modeling
- assessing accuracy
- Assessing the Accuracy of Models
- support
- Setting Up Associations
- Association Rules Generation
- minimum threshold
- Setting Up Associations
- table history
- Retracing Your Steps with Table History
- Texture command
- Changing the Splat Visualizer Display with the Shape Menu
- three-dimensional charts
- Mapping the Scatter Visualizer Visual Elements
- Mapping the Splat Visualizer Elements
- three-dimensional landscapes
- Overview of the Tree Visualizer
- thresholds
- binning, even
- Changing or Creating New Bins for Columns
- custom binning
- Changing or Creating New Bins for Columns
- Tool Manager
- Using the Tool Manager Window
- adding columns
- Removing and Adding Columns
- applying a model
- Applying a Model
- Association Rules Generator window
- Setting Up Associations
- binning columns
- Changing or Creating New Bins for Columns
- buttons
- Transforming Data with the Tool Manager
- changing column names
- Changing a Column Type or Name
- changing column types
- Changing a Column Type or Name
- configuration options
- association rules
- Starting the Association Rules
- Data Transformations pane
- Transforming Data with the Tool Manager
- filtering data
- Restricting Column Contents by Filtering
- multiway rules
- figure
- Multiway Association Rules
- removing columns
- Removing and Adding Columns
- sampling data
- Sampling Data
- tool options
- Scatter Visualizer
- Select Mode in the Splat Visualizer
- transforming data
- Transforming Data with the Tool Manager
- transforming data
- why transform the data?
- Why Shape the Data?
- transforming data
- Tool Manager
- Transforming Data with the Tool Manager
- Tree Visualizer
- decision trees and
- Examining Your Results with the Option Tree Visualizer
- getting information
- Finding Specific Objects with the Search Panel
- Highlighting an Object or Node
- Selecting an Object
- main window
- Overview of the Tree Visualizer
- marking viewpoints
- Flagging Important Locations with the Marks Panel
- overview
- Overview of the Tree Visualizer
- searching for objects
- Finding Specific Objects with the Search Panel
- selecting objects
- Finding Specific Objects with the Search Panel
- Seeing the Whole Picture with Overview
- Highlighting an Object or Node
- Selecting an Object
- spotlighting information
- Selecting an Object
- Finding Specific Objects with the Search Panel
- trends
- Overview of the Splat Visualizer
- two-dimensional aggregation
- Animating Using the Visualizer Summary Window
- Interpreting the Summary Window in the Splat Visualizer
- type column
- Changing a Column Type
- typographic conventions
- Typographical Conventions
- unsupervised modeling
- Unsupervised Modeling
- Up button
- Flagging Important Locations with the Marks Panel
- using a Learning Curve
- Creating a Learning Curve
- View History
- Retracing Your Steps with Table History
- View menu
- Map Visualizer
- Changing the Map Visualizer Display
- viewing modes
- Map Visualizer
- Viewing Modes
- Scatter Visualizer
- Viewing Modes
- viewing multiple documents
- Viewing Multiple Documents in the 3DVisualizer Window
- views
- Map Visualizer
- Overview of the Map Visualizer
- Overview of the Map Visualizer
- Overview of the Map Visualizer
- display options
- Mapping to Maps
- Tree Visualizer
- spotlighting information
- Selecting an Object
- Finding Specific Objects with the Search Panel
- visual data mining
- About Data Mining and Data Mining Methods
- Visual Data Mining
- visualizers
- navigating in
- Navigating in the MineSet 3D Visualizers
- weighting records
- Weighting Records