An automated framework for code and data partitioning for the needs of data management is presented. The goal is to identify the main data types from the data management perspectiv...
Knowledge management (KM) and organizational learning (OL) have developed in both divergent and convergent ways. In particular, these fields have relatively distinct intellectual ...
: In the context of knowledge management, we focus on the representation and the retrieval of past experiences called cases within the Case-Based Reasoning (CBR) paradigm. CBR is a...
Many scientific applications manipulate large amount of data and, therefore, are parallelized on high-performance computing systems to take advantage of their computational power a...
Abstract--The networked application environment has motivated the development of multitasking operating systems for sensor networks and other low-power electronic devices, but thei...