Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
A fundamental problem in distributed computation is the distributed evaluation of functions. The goal is to determine the value of a function over a set of distributed inputs, in ...
This paper presents a framework for understanding and constructing access methods for versioned data. Records are associated with version ranges in a version tree. A minimal repre...
Betty Salzberg, Linan Jiang, David B. Lomet, Manue...
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Embedded wireless networks have largely focused on openloop sensing and monitoring. To address actuation in closedloop wireless control systems there is a strong need to re-think ...