Name
Title | ||
|---|---|---|
It's about time: purpose, methods, and challenges of temporal analyses of multiple data streams |
Abstract | ||
|---|---|---|
Recent studies of learning have involved concurrent collection of multiple types of data (e.g., computer activity logs and online discussion) or have applied multi-dimensional coding, resulting in related data streams. These data highlight the dynamic nature of learning and require analyses from a temporal perspective. This workshop explores issues emerging from integrating data streams by identifying a set of analytic difficulties researchers commonly face, and illustrating the application of specific methods that address these challenges. |
Year | Venue | Keywords |
|---|---|---|
2010 | ICLS | concurrent collection,related data stream,computer activity log,analytic difficulties researcher,multiple type,multiple data stream,recent study,temporal analysis,dynamic nature,multi-dimensional coding,data stream,online discussion |
Field | DocType | Citations |
Data science,Data stream mining,Multiple data,Computer science,Coding (social sciences),Data type,STREAMS,Online discussion | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Britte Haugan Cheng | 1 | 6 | 2.14 |
| Inge Molenaar | 2 | 36 | 7.81 |
| Ming Ming Chiu | 3 | 95 | 11.45 |
| Vanessa Svihla | 4 | 2 | 6.06 |
| Alyssa Wise | 5 | 213 | 19.86 |
| Vanessa Peters | 6 | 10 | 2.04 |
| Katerina Zourou | 7 | 0 | 0.68 |