# 7.00.02 - Output - Aster Analytics

## Teradata AsterĀ® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Release Date
September 2017
Content Type
Programming Reference
User Guide
Publication ID
B700-1022-700K
Language
English (United States)
POSTagger Example Output Table
sentence sentence_sn word_sn word pos_tag
Decision tree learning uses a decision tree as a predictive model which maps observations about an item to conclusions about the items target value. 1 1 Decision NN
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). 1 1 Cluster NN
Association rule learning is a method for discovering interesting relations between variables in large databases. 1 1 Association NNP
In statistics, simple linear regression is the least squares estimator of a linear regression model with a single explanatory variable. 1 1 In statistics, simple JJ
Logistic regression was developed by statistician David Cox in 1958[2] [3] (although much work was done in the single independent variable case almost two decades earlier). 1 1 Logistic JJ
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). 1 2 analysis or clustering is VBZ
Association rule learning is a method for discovering interesting relations between variables in large databases. 1 2 rule NN
In statistics, simple linear regression is the least squares estimator of a linear regression model with a single explanatory variable. 1 2 linear NN
Logistic regression was developed by statistician David Cox in 1958[2] [3] (although much work was done in the single independent variable case almost two decades earlier). 1 2 regression NN
Decision tree learning uses a decision tree as a predictive model which maps observations about an item to conclusions about the items target value. 1 2 tree NN
In statistics, simple linear regression is the least squares estimator of a linear regression model with a single explanatory variable. 1 3 regression is VBZ
Association rule learning is a method for discovering interesting relations between variables in large databases. 1 3 learning NN
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). 1 3 the DT
Logistic regression was developed by statistician David Cox in 1958[2] [3] (although much work was done in the single independent variable case almost two decades earlier). 1 3 was VBD
Decision tree learning uses a decision tree as a predictive model which maps observations about an item to conclusions about the items target value. 1 3 learning NN
In statistics, simple linear regression is the least squares estimator of a linear regression model with a single explanatory variable. 1 4 the least JJ
Association rule learning is a method for discovering interesting relations between variables in large databases. 1 4 is VBZ
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). 1 4 task NN
Decision tree learning uses a decision tree as a predictive model which maps observations about an item to conclusions about the items target value. 1 4 uses VBZ
Logistic regression was developed by statistician David Cox in 1958[2] [3] (although much work was done in the single independent variable case almost two decades earlier). 1 4 developed VBN
In statistics, simple linear regression is the least squares estimator of a linear regression model with a single explanatory variable. 1 5 squares estimator NN
Association rule learning is a method for discovering interesting relations between variables in large databases. 1 5 a DT
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). 1 5 of IN
Logistic regression was developed by statistician David Cox in 1958[2] [3] (although much work was done in the single independent variable case almost two decades earlier). 1 5 by IN
Decision tree learning uses a decision tree as a predictive model which maps observations about an item to conclusions about the items target value. 1 5 a DT