2012
DOI: 10.1007/978-3-642-23241-1_4
|View full text |Cite
|
Sign up to set email alerts
|

A Visual Environment for Designing and Running Data Mining Workflows in the Knowledge Grid

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2012
2012
2014
2014

Publication Types

Select...
2
1

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(4 citation statements)
references
References 9 publications
0
4
0
Order By: Relevance
“…Contrarily to many related frameworks like Triana [18], Knowledge Grid [4] or GridAnt [11], JASMIN is based on standards. The above frameworks are based on self-defined notations to compose their workflow models.…”
Section: Resultsmentioning
confidence: 99%
“…Contrarily to many related frameworks like Triana [18], Knowledge Grid [4] or GridAnt [11], JASMIN is based on standards. The above frameworks are based on self-defined notations to compose their workflow models.…”
Section: Resultsmentioning
confidence: 99%
“…First, the architecture of JASMIN is application-free. It is not related to any particular application domain and does not require any specific environment to work, as opposed to others like Triana [17] and Knowledge Grid [31], which are oriented to work within distributed data mining applications on grids. Other frameworks like Taverna [15] and Kepler [13] provide workflow specifications and enactment tools for bioinformatics.…”
Section: Discussion and Related Workmentioning
confidence: 99%
“…Furthermore, models generated by self-defined notations are difficult to verify and validate since corresponding toolkits do not provide any verification tool. For example, the Knowledge Grid in its recent workflow-based version proposes a workspace where nodes can be data sources, algorithms, tools, or models [31]. These kinds of notations are not compliant with the workflow basics defined by the workflow management coalition (WfMC).…”
Section: Discussion and Related Workmentioning
confidence: 99%
“…Following the approach proposed in [5] and [6], we model a knowledge discovery workflow as a graph whose nodes represent resources (datasets, data mining tools, data mining models), implemented as Cloud services, and whose edges represent dependencies between resources.…”
Section: Cloud Knowledge Discovery Workflowsmentioning
confidence: 99%