One of the characteristics of large software systems is that they evolve over time. Evolution patterns include modifications related to the implementation, interfaces and the over...
Ladan Tahvildari, Richard Gregory, Kostas Kontogia...
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
Discovering a representative set of theme patterns from a large amount of text for interpreting their meaning has always been concerned by researches of both data mining and inform...
Yongxin Tong, Shilong Ma, Dan Yu, Yuanyuan Zhang, ...
Background: Identification of the structural domains of proteins is important for our understanding of the organizational principles and mechanisms of protein folding, and for ins...
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...