Difference between revisions of "JBIDM 2009"
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{{Event | {{Event | ||
| + | | Acronym = JBIDM 2009 | ||
| + | | Title = Journal of Business Intelligence and Data Mining | ||
| + | | Type = Conference | ||
| + | | Series = | ||
| Field = Machine learning | | Field = Machine learning | ||
| + | | Homepage = www.engineering-press.org/journals/jbidm/cfp.htm | ||
| + | | Start date = N/A | ||
| + | | End date = | ||
| + | | City= N/A | ||
| + | | State = | ||
| + | | Country = N/A | ||
| Abstract deadline = | | Abstract deadline = | ||
| Submission deadline = TBD | | Submission deadline = TBD | ||
| Notification = | | Notification = | ||
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Revision as of 00:13, 25 October 2021
"N/A" contains an extrinsic dash or other characters that are invalid for a date interpretation.
Event Rating
| median | worst |
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List of all ratings can be found at JBIDM 2009/rating
| JBIDM 2009 | |
|---|---|
Journal of Business Intelligence and Data Mining
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| Dates | N/A - |
| Homepage: | www.engineering-press.org/journals/jbidm/cfp.htm |
| Location | |
| Location: | N/A, N/A |
| Important dates | |
| Submissions: | TBD |
| Table of Contents | |
JBIDM publishes original research results, surveys and tutorials of important areas and techniques, detailed descriptions of significant applications, technical advances and news items concerning use of intelligent data analysis technique in business applications. IJBIDM puts a heavy emphasis on new data analysis architectures, methodologies, and techniques and their applications in business. Journal of Business Intelligence and Data Mining,ISSN 2072-1455 (Print) is Published in 4 issues per year by Internatonal Computer Science Publisher. These areas include, but are not limited to, the following: Business Intelligence: Data extraction and reporting,OLAP, Data cleaning and pre-processing,Decision analysis, Causal modelling, Reasoning under uncertainty, Uncertainty and noise in data, Business intelligence cycle, and model specification/selection/estimation, Intelligent Techniques:Fuzzy, neural, and evolutionary approaches, Web technology, mining and agents, Genetic algorithms, Machine learning,Expert systems, Hybrid systems, Bayesian inference, bootstrap and randomisation Applications and Tools: Applications (e.g. commerce, engineering, finance, manufacturing, science) , Human-computer interaction in intelligence data analysis, Business intelligence and data analysis systems and tools
This CfP was obtained from WikiCFP