IBM SPSS Modeler
E699685
IBM SPSS Modeler is a visual data science and machine learning tool that enables users to build, test, and deploy predictive models without extensive programming.
All labels observed (2)
| Label | Occurrences |
|---|---|
| IBM SPSS Modeler canonical | 1 |
| IBM SPSS software family | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7937415 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IBM SPSS Modeler Context triple: [IBM Data and AI portfolio, hasComponent, IBM SPSS Modeler]
-
A.
IBM Rational Insight
IBM Rational Insight is a performance management and reporting tool that provides analytics and dashboards for software and systems development projects.
-
B.
ISI ResearchSoft
ISI ResearchSoft was a software company best known for developing the EndNote reference management program before it was acquired by Thomson Reuters.
-
C.
Oracle Machine Learning
Oracle Machine Learning is a suite of in-database machine learning algorithms and tools from Oracle that enables data scientists and analysts to build, deploy, and manage predictive models directly within Oracle databases.
-
D.
R Foundation for Statistical Computing
The R Foundation for Statistical Computing is a non-profit organization that supports the development, maintenance, and promotion of the R programming language and its ecosystem.
-
E.
BIME Analytics
BIME Analytics is a cloud-based business intelligence and data visualization platform known for enabling companies to analyze and report on customer and operational data.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IBM SPSS Modeler Target entity description: IBM SPSS Modeler is a visual data science and machine learning tool that enables users to build, test, and deploy predictive models without extensive programming.
-
A.
IBM Rational Insight
IBM Rational Insight is a performance management and reporting tool that provides analytics and dashboards for software and systems development projects.
-
B.
ISI ResearchSoft
ISI ResearchSoft was a software company best known for developing the EndNote reference management program before it was acquired by Thomson Reuters.
-
C.
Oracle Machine Learning
Oracle Machine Learning is a suite of in-database machine learning algorithms and tools from Oracle that enables data scientists and analysts to build, deploy, and manage predictive models directly within Oracle databases.
-
D.
R Foundation for Statistical Computing
The R Foundation for Statistical Computing is a non-profit organization that supports the development, maintenance, and promotion of the R programming language and its ecosystem.
-
E.
BIME Analytics
BIME Analytics is a cloud-based business intelligence and data visualization platform known for enabling companies to analyze and report on customer and operational data.
- F. None of above. chosen
Statements (56)
| Predicate | Object |
|---|---|
| instanceOf |
data mining software
ⓘ
machine learning tool ⓘ predictive analytics software ⓘ visual data science tool ⓘ |
| developer | IBM ⓘ |
| doesNotRequire | extensive programming skills ⓘ |
| formerName | Clementine ⓘ |
| hasFeature |
automated modeling
ⓘ
data quality analysis ⓘ model management ⓘ node-based workflow canvas ⓘ streaming analytics support ⓘ text mining nodes ⓘ |
| hasInterface | graphical user interface ⓘ |
| integratesWith |
IBM Cloud Pak for Data
ⓘ
IBM SPSS Statistics ⓘ IBM Watson Studio ⓘ
linked to:
Watson Studio
|
| partOf |
IBM SPSS software family
ⓘ
linked to:
IBM SPSS Modeler
|
| supports |
CRISP-DM methodology
ⓘ
data mining ⓘ data preparation ⓘ data preprocessing ⓘ drag-and-drop modeling ⓘ machine learning workflows ⓘ model deployment ⓘ model evaluation ⓘ predictive modeling ⓘ text analytics ⓘ visual programming ⓘ |
| supportsAlgorithmType |
anomaly detection
ⓘ
association rules ⓘ classification ⓘ clustering ⓘ regression ⓘ time series analysis ⓘ |
| supportsDataSource |
Hadoop
ⓘ
IBM Db2 ⓘ
linked to:
IBM DB2
big data platforms ⓘ flat files ⓘ relational databases ⓘ spreadsheets ⓘ |
| supportsDeployment |
batch scoring
ⓘ
real-time scoring ⓘ web services ⓘ |
| supportsLanguage |
Python
ⓘ
R ⓘ |
| targetUser |
business analysts
ⓘ
citizen data scientists ⓘ data scientists ⓘ |
| usedFor |
churn prediction
ⓘ
credit scoring ⓘ customer analytics ⓘ forecasting ⓘ fraud detection ⓘ marketing campaigns optimization ⓘ risk analysis ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: IBM SPSS Modeler Description of subject: IBM SPSS Modeler is a visual data science and machine learning tool that enables users to build, test, and deploy predictive models without extensive programming.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: IBM SPSS Modeler