Grid-based methods have difficulty resolving features on or below the scale of the underlying grid. Although adaptive methods (e.g., RLE, octrees) can alleviate this to some degree...
Frank Losasso, Jerry O. Talton, Nipun Kwatra, Rona...
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...
Radio Frequency Identification (RFID) applications are set to play an essential role in object tracking and supply chain management systems. In the near future, it is expected tha...
Hector Gonzalez, Jiawei Han, Xiaolei Li, Diego Kla...
Rule mining is an important data mining task that has been applied to numerous real-world applications. Often a rule mining system generates a large number of rules and only a sma...
Abstract: This paper addresses the problem of expressing preferences among nonfunctional properties of services in a Web service architecture. In such a context, semantic and non-f...