The knowledge grid
M Cannataro, D Talia - Communications of the ACM, 2003 - dl.acm.org
The knowledge grid Page 1 A VAST amount of information is currently stored in digital data
repositories, yet it is often difficult to understand what is the important and useful information in …
repositories, yet it is often difficult to understand what is the important and useful information in …
Communication paradigms for mobile grid users
This paper wishes to investigate the converging field of mobile and Grid computing by
defining an architecture for the provision of Grid services, which Is based on standards …
defining an architecture for the provision of Grid services, which Is based on standards …
[图书][B] Service-oriented distributed knowledge discovery
Data analysis techniques and services are needed to mine the massive amount of data
available and to extract useful knowledge from it. e service-oriented architecture (SOA) is …
available and to extract useful knowledge from it. e service-oriented architecture (SOA) is …
[PDF][PDF] Gridminer: An infrastructure for data mining on computational grids
Abstract Knowledge discovery in datasets integrated into Grids is a challenging research
task. These large datasets are being collected and accumulated across a wide variety of …
task. These large datasets are being collected and accumulated across a wide variety of …
Parallel data intensive computing in scientific and commercial applications
Applications that explore, query, analyze, visualize, and, in general, process very large scale
data sets are known as Data Intensive Applications. Large scale data intensive computing …
data sets are known as Data Intensive Applications. Large scale data intensive computing …
[PDF][PDF] A survey on distributed data mining and its trends
S Devi - International Journal of Research in Engineering & …, 2014 - impactjournals.us
Data mining technology has emerged as a means for identifying patterns and trends from
large quantities of data. The Data Mining technology normally adopts data integration …
large quantities of data. The Data Mining technology normally adopts data integration …
[图书][B] Intelligent technologies for information analysis
Intelligent Information Technology (iiT) encompasses the theories and ap plications of
artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data …
artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data …
Parallelism in knowledge discovery techniques
D Talia - International Workshop on Applied Parallel Computing, 2002 - Springer
Abstract Knowledge discovery in databases or data mining is the semi-automated analysis
of large volumes of data, looking for the relationships and knowledge that are implicit in …
of large volumes of data, looking for the relationships and knowledge that are implicit in …
Towards better understanding of context-aware knowledge transformation
M Owoc, P Weichbroth… - … Federated Conference on …, 2017 - ieeexplore.ieee.org
Considering different aspects of knowledge functioning, context is poorly understood in spite
of intuitively identifying this concept with environmental recognition. For dynamic knowledge …
of intuitively identifying this concept with environmental recognition. For dynamic knowledge …
[图书][B] Learning classifiers from distributed, semantically heterogeneous, autonomous data sources
D Caragea - 2004 - search.proquest.com
Recent advances in computing, communications, and digital storage technologies, together
with development of high throughput data acquisition technologies have made it possible to …
with development of high throughput data acquisition technologies have made it possible to …