BIBFRAME Work

Title

Machine Learning and Data Mining in Pattern Recognition : 9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013, Proceedings

Type

• Monograph
• Text

Contribution

• Perner, Petra (editor)

Subject

• I21000
• UYQ
• Artificial intelligence (LCSH)
• I18030
• COM004000 (BISACSH)
• Algorithms (LCSH)
• Pattern perception (LCSH)
• Data mining (LCSH)
• I16021
• I2203X

Language

• English

Classification

• LCC: Q334-342 (Status: not used by assigner) (Status: upgraded prepub)
• DDC: 006.3

Content

• text

Summary

This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.

Table of Contents

Theoretical topics for classification -- Clustering -- Association rule and pattern mining.- Specific data mining methods for the different multimedia data types.- Image mining -- Text mining -- Video mining.-Web mining.

Authorized Access Point

Machine Learning and Data Mining in Pattern Recognition : 9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013, Proceedings

Admin Metadata

• Date: 2026-09-11T20:13:37.638013+00:00
• Agent: cbc
• Status: c
• Derived from: 21684348

Admin Metadata

• Date: 2026-09-11
• Cataloger id: Unknown
• Description level: http://id.loc.gov/ontologies/bibframe-2-6-0/
• Description language: eng
• Description authentication: pcc