Machine Learning and Data Mining in Pattern Recognition 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part I /
Machine Learning and Data Mining in Pattern Recognition 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part I / [electronic resource] :
edited by Petra Perner.
- 1st ed. 2018.
- XV, 455 p. 261 illus., 112 illus. in color. online resource.
- Lecture Notes in Artificial Intelligence, 10934 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 10934 .
Classification -- Clustering -- Image mining -- Text mining -- Video mining.-Web mining -- Graph mining -- Process mining.
This two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. The 92 regular papers presented in this two-volume set were carefully reviewed and selected from 298 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.
9783319961361
10.1007/978-3-319-96136-1 doi
Artificial intelligence.
Natural language processing (Computer science).
Data mining.
Application software.
Computer vision.
Artificial Intelligence.
Natural Language Processing (NLP).
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Computer Vision.
Q334-342 TA347.A78
006.3
Classification -- Clustering -- Image mining -- Text mining -- Video mining.-Web mining -- Graph mining -- Process mining.
This two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. The 92 regular papers presented in this two-volume set were carefully reviewed and selected from 298 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.
9783319961361
10.1007/978-3-319-96136-1 doi
Artificial intelligence.
Natural language processing (Computer science).
Data mining.
Application software.
Computer vision.
Artificial Intelligence.
Natural Language Processing (NLP).
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Computer Vision.
Q334-342 TA347.A78
006.3