International Conference on Data Science and Advanced Analytics
GPTKB entity
Statements (56)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Conference
|
| gptkbp:accepts |
Varies by year
|
| gptkbp:admission_fee |
Varies by year
|
| gptkbp:collaborations |
International
Encouraged Facilitated through networking |
| gptkbp:community |
Data science community
|
| gptkbp:community_engagement |
Promoted through activities
|
| gptkbp:community_involvement |
Possible
|
| gptkbp:communityEvents |
Organized for networking
|
| gptkbp:culturalHeritage |
Encouraged in participation
|
| gptkbp:duration |
Typically 2-3 days
|
| gptkbp:exhibits |
Technology companies
|
| gptkbp:feedback |
Collected from participants
Surveys conducted |
| gptkbp:field |
Advanced Analytics
Data_Science |
| gptkbp:focus |
Emerging trends in data science
|
| gptkbp:frequency |
Annual
|
| gptkbp:future_plans |
Discussed during sessions
|
| gptkbp:hasVersion |
Held in various countries
|
| https://www.w3.org/2000/01/rdf-schema#label |
International Conference on Data Science and Advanced Analytics
|
| gptkbp:impact |
Influences data science policies
Influences research directions |
| gptkbp:language |
English
|
| gptkbp:location |
Various locations
|
| gptkbp:networking_opportunities |
Yes
|
| gptkbp:notableFeature |
Leading experts in the field
|
| gptkbp:organizer |
Various organizations
|
| gptkbp:outcome |
Networking
Skill development Knowledge sharing Research dissemination |
| gptkbp:participants |
Academics
Researchers Industry professionals |
| gptkbp:partnerships |
Yes
|
| gptkbp:publications |
Conference proceedings
Announced annually |
| gptkbp:relatedPatent |
Yes
|
| gptkbp:reviews |
Yes
|
| gptkbp:scholarships |
Available for students
|
| gptkbp:sponsor |
Available
|
| gptkbp:subject |
Artificial Intelligence
Data Mining Machine Learning Statistical Analysis Big_Data |
| gptkbp:submissionDeadline |
Varies by year
|
| gptkbp:sustainability |
Promoted through practices
|
| gptkbp:website |
[Conference website URL]
|
| gptkbp:workshops |
Yes
Data visualization Predictive analytics Data governance Data ethics |