In an effort to support the development of context-aware applications that use archived sensor data, we introduce the concept of the Context Cube based on techniques of data wareho...
Lonnie D. Harvel, Ling Liu, Gregory D. Abowd, Yu-X...
Mining frequent structural patterns from graph databases is an interesting problem with broad applications. Most of the previous studies focus on pruning unfruitful search subspac...
Chen Wang, Wei Wang 0009, Jian Pei, Yongtai Zhu, B...
This paper describes our research effort to employ Grid technologies to enable the development of geoscience applications by integrating workflow technologies with data mining r...
Gianluigi Folino, Agostino Forestiero, Giuseppe Pa...
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...