Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
: As supply chains become more dynamic it is important to be able to model them formally as business processes. In particular, there is a need for a sense and respond capability to...
The problem of identifying deviating patterns in XML repositories has important applications in data cleaning, fraud detection, and stock market analysis. Current methods determine...
Complex Event Processing is an important technology for information systems with a broad application space ranging from supply chain management, systems monitoring, and stock mark...
Advances in technology have enabled new approaches for sensing the environment and collecting data about the world. Once collected, sensor readings can be assembled into data stre...
Eric P. Kasten, Philip K. McKinley, Stuart H. Gage