Data Mining, Business Intelligence, and AI_ Key Concepts and
Data
Techniques
Mining, Business
– lecture
Intelligence,
summary.pdf
and AI_ Key Concepts and
Data
Techniques
Mining, Business
– lecture
Intelligence,
summary.pdf
and AI_ Key Concepts and Techniques – lecture summary.pdf
Data Mining, Business
Intelligence, and AI: Key
Concepts and Techniques –
lecture summary
Guidehttps://www.stuvia.com/dashboard!@_)#*)(@$)($@*($@)($@*_
Data Mining, Business Intelligence, and AI_ Key Concepts and
Data
Techniques
Mining, Business
– lecture
Intelligence,
summary.pdf
and AI_ Key Concepts and
Data
Techniques
Mining, Business
– lecture
Intelligence,
summary.pdf
and AI_ Key Concepts and Techniques – lecture summary.pdf
, Data Mining, Business Intelligence, and AI_ Key Concepts and Techniques.pdf Data Mining, Business Intelligence, and AI_ Key Concepts and Techniques.pdf Data Mining, Business Intelligence, and AI_ Key Concepts and Techniques.pdf
Ad hoc reporting tools Reports being created at the time they're needed by users
Online Analytical Processing (OLAP) What does OLAP stand for?
Data cube A special database used to store data in OLAP reporting.
Affinity Grouping This is a special kind of clustering that identifies
events or transactions that occur simultaneously. A well-known example of this is
market basket analysis
Clustering Recognizing distinct groupings or sub-categories within the data.
Data Mining The process of using computers to identify hidden patterns in, and to build
models from, large datasets.
Major criteria for effective BI (business intelligience) Accuracy, Timeliness, Valuable insight, and actionable
Best practices for BA Know the objective, define your criteria for success, know your methodology, and
validate models
Data Mining, Business Intelligence, and AI_ Key Concepts and Techniques.pdf Data Mining, Business Intelligence, and AI_ Key Concepts and Techniques.pdf Data Mining, Business Intelligence, and AI_ Key Concepts and Techniques.pdf
Data
Techniques
Mining, Business
– lecture
Intelligence,
summary.pdf
and AI_ Key Concepts and
Data
Techniques
Mining, Business
– lecture
Intelligence,
summary.pdf
and AI_ Key Concepts and Techniques – lecture summary.pdf
Data Mining, Business
Intelligence, and AI: Key
Concepts and Techniques –
lecture summary
Guidehttps://www.stuvia.com/dashboard!@_)#*)(@$)($@*($@)($@*_
Data Mining, Business Intelligence, and AI_ Key Concepts and
Data
Techniques
Mining, Business
– lecture
Intelligence,
summary.pdf
and AI_ Key Concepts and
Data
Techniques
Mining, Business
– lecture
Intelligence,
summary.pdf
and AI_ Key Concepts and Techniques – lecture summary.pdf
, Data Mining, Business Intelligence, and AI_ Key Concepts and Techniques.pdf Data Mining, Business Intelligence, and AI_ Key Concepts and Techniques.pdf Data Mining, Business Intelligence, and AI_ Key Concepts and Techniques.pdf
Ad hoc reporting tools Reports being created at the time they're needed by users
Online Analytical Processing (OLAP) What does OLAP stand for?
Data cube A special database used to store data in OLAP reporting.
Affinity Grouping This is a special kind of clustering that identifies
events or transactions that occur simultaneously. A well-known example of this is
market basket analysis
Clustering Recognizing distinct groupings or sub-categories within the data.
Data Mining The process of using computers to identify hidden patterns in, and to build
models from, large datasets.
Major criteria for effective BI (business intelligience) Accuracy, Timeliness, Valuable insight, and actionable
Best practices for BA Know the objective, define your criteria for success, know your methodology, and
validate models
Data Mining, Business Intelligence, and AI_ Key Concepts and Techniques.pdf Data Mining, Business Intelligence, and AI_ Key Concepts and Techniques.pdf Data Mining, Business Intelligence, and AI_ Key Concepts and Techniques.pdf
