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Ontology of Data Mining
Published on Jan 31, 20171013 Views
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Chapter list
Ontology of Data Mining00:00
Outline00:02
What is an ontology?00:37
Basic ontology vocabulary – The pizza domain01:58
Why are ontologies useful?04:05
How do we build ontologies?04:59
Why do we need an ontology of data mining?06:47
The Big Picture: The process of knowledge discovery07:59
The domain of data mining08:44
What is our task?10:09
The OntoDM data mining ontology10:53
Ontology modules - 112:37
Ontology of datatypes – OntoDT13:04
The basic structure of OntoDT14:30
Example of a datatype class15:11
Taxonomy of datatypes16:49
Taxonomy of primitive datatypes17:59
Taxonomy of generated datatypes18:53
Example: Datatypes describing the Iris dataset20:12
Ontology modules - 222:23
Ontology of core data mining entities - OntoDM-core22:48
Design structure23:43
Core data mining entities25:19
Data specification27:37
Examples of different types of data28:26
Data mining task29:30
Predictive modeling task taxonomy30:04
Use case: Annotating and querying data mining algorithm repositories31:23
Types of queries and reasoning32:24
Example33:02
Use case: Annotation and modelling of QSAR studies33:15
Use case: Representing machine learning experiments34:16
Conclusion35:08
Future work35:51