People-centric urban sensing is a new paradigm gaining popularity. A main obstacle to its widespread deployment and adoption are the privacy concerns of participating individuals. ...
Detecting outliers which are grossly diļ¬erent from or inconsistent with the remaining dataset is a major challenge in real-world KDD applications. Existing outlier detection met...
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
Mining sequential patterns in large databases is an important research topic. The main challenge of mining sequential patterns is the high processing cost due to the large amount ...
Over the last decade, the role of information technology in enterprises has been transforming from one of providing automation services to one of enabling business innovation. ITā...