Browse “Classification rule mining” in an alphabetical list of subjects

Browse by subject help: Search within an alphabetical list of all Library of Congress Subject Headingsopen_in_new (LCSH) indexed in the Library catalog.

Subject Records
Classification--Public records About this subjectopen_in_new 2 records
2 records
Classification Research Group 1 record
1 record
We found a matching subject in our catalog for: Classification rule mining.
Classification rule mining About this subjectopen_in_new 1 record
Broader term (in subject list):
  1. Data mining (5350 records)
1 record
Classification, RVK--Handbooks, manuals, etc 1 record
1 record
Classification, SISO About this subjectopen_in_new 0 records
Broader term (in subject list):
  1. Classification--Books (511 records)
0 records
Classification--Slides (Photography) About this subjectopen_in_new 4 records
Broader term (in subject list):
  1. Classification--Photographs (6 records)
4 records
Classification--Social aspects 3 records
3 records
Classification--Social aspects--Europe 1 record
1 record
Classification--Social sciences 1 record
1 record
Classification--Sound recordings About this subjectopen_in_new 6 records
Broader term (in subject list):
  1. Music librarianship (36 records)
6 records
Classification--Sound recordings--Bibliography 3 records
3 records
Classification--Standards--United States 2 records
2 records
Classification--Statistical methods 1 record
1 record
Classification--Study and teaching 1 record
1 record
Classification--Study and teaching--Congresses 1 record
1 record
Classification--Technological innovations 2 records
2 records
Classification, Universal decimal About this subjectopen_in_new 43 records
Broader terms (in subject list):
  1. Classification, Decimal (207 records)
  2. Classification--Books (511 records)
43 records
Classification, Universal decimal--Automation 1 record
1 record
Classification, Universal decimal--Bibliography 2 records
2 records
Classification, Universal decimal--Congresses 3 records
3 records

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Give feedback about this pageopen_in_new