Data-Pipelining is a widely used model to represent streaming applications. Incremental decomposition and optimization of a data-pipelining application onto a multi-processor plat...
Bo-Cheng Charles Lai, Patrick Schaumont, Wei Qin, ...
Nowadays, there are an emergence of spatial or geographic data stored in several and heterogeneous databases, mostly in Geographic Information Systems (GIS). The diversity of GIS a...
Research in relational data mining has two major directions: finding global models of a relational database and the discovery of local relational patterns within a database. While...
The rapid increase in the availability of geospatial data has motivated the effort to seamlessly integrate this information into an information-rich and realistic 3D environment. ...
Cyrus Shahabi, Yao-Yi Chiang, Kelvin Chung, Kai-Ch...
We developed Relational Data Mining approach which allows to overcome essential limitations of the Data Mining and Knowledge Discovery techniques. In the paper the approach was im...
I. V. Khomicheva, Eugenii E. Vityaev, Elena A. Ana...