@kmd-ovgu

Summarizing Cluster Evolution in Dynamic Environments

, , и . Computational Science and Its Applications - ICCSA 2011, том 6783 из Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2011)

Аннотация

Monitoring and interpretation of changing patterns is a task of paramount importance for data mining applications in dynamic environments. While there is much research in adapting patterns in the presence of drift or shift, there is less research on how to maintain an overview of pattern changes over time. A major challenge lays in summarizing changes in an effective way, so that the nature of change can be understood by the user, while the demand on resources remains low. To this end, we propose FINGERPRINT, an environment for the summarization of cluster evolution. Cluster changes are captured into an “evolution graph”, which is then summarized based on cluster similarity into a

Линки и ресурсы

DOI:
10.1007/978-3-642-21887-3_43
URL:
ключ BibTeX:
noKey
искать в:

Комментарии и рецензии  
(0)

Комментарии, или рецензии отсутствуют. Вы можете их написать!

Tags


Цитировать эту публикацию