Machine Learning and Data Mining in Pattern Recognition

9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013, Proceedings

Petra Perner (Herausgeber)

Buch | Softcover

XII, 660 Seiten

2013 | 2013
Springer Berlin (Verlag)
978-3-642-39711-0 (ISBN)

Infos

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.

Inhalt

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.

Produkt-Details

• Erscheint lt. Verlag: 9.7.2013
• Reihe/Serie: Lecture Notes in Artificial Intelligence
• Reihe/Serie: Lecture Notes in Computer Science
• Zusatzinfo: XII, 660 p. 199 illus.
• Verlagsort: Berlin
• Sprache: englisch
• Maße: 155 x 235 mm
• Gewicht: 999 g
• Themenwelt: Informatik ► Datenbanken ► Data Warehouse / Data Mining
• Themenwelt: Informatik ► Theorie / Studium ► Algorithmen
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: Algorithm analysis and problem complexity • algorithms • Feature Selection • Prediction • Support Vector Machines • text classification
• ISBN-10: 3-642-39711-5 / 3642397115
• ISBN-13: 978-3-642-39711-0 / 9783642397110
• Zustand: Neuware