In this paper, we study the problem of applying data mining to facilitate the investigation of money laundering crimes (MLCs). We have identified a new paradigm of problems --- th...
Zhongfei (Mark) Zhang, John J. Salerno, Philip S. ...
Large-scale distributed systems have dense, complex code-bases that are assumed to perform multiple and inter-dependent tasks while user interaction is present. The way users inte...
Angelos Stavrou, Gabriela F. Cretu-Ciocarlie, Mich...
In this paper we present NoCEE, a fast and accurate method for extracting energy models for packet-switched Network on Chip (NoC) routers. Linear regression is used to model the r...
Many architecture description languages (ADLs) have been proposed to model, analyze, configure, and deploy complex software systems. To face this diversity, extensible ADLs (or AD...
Extract-Transform-Load (ETL) activities are software modules responsible for populating a data warehouse with operational data, which have undergone a series of transformations on...