Name
Abstract | ||
|---|---|---|
We will demonstrate a distributed recursive method, i.e., Lexical Link Analysis (LLA) and an infrastructure, i.e., Collaborative Learning Agents (CLA) to discover high-value information. The combined system is a unified methodology of discovering high-value information from structured and unstructured heterogeneous data sources. We will demonstrate the LLA/CLA system using a crowdsourcing data source and show how it can be used to discover new knowledge for a widening range of applications and heterogeneous data types.
|
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3110025.3121242 | ASONAM '17: Advances in Social Networks Analysis and Mining 2017
Sydney
Australia
July, 2017 |
Keywords | Field | DocType |
lexical link analysis,collaborative learning agent,unsupervised learning,high-value information,crowdsourcing,heterogeneous data | Data source,Collaborative learning,Link analysis,Computer science,Crowdsourcing,Unsupervised learning,Data type,Artificial intelligence,Machine learning,Recursion | Conference |
ISSN | ISBN | Citations |
2473-9928 | 978-1-4503-4993-2 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Y. Zhao | 1 | 10 | 5.43 |
| Douglas J. MacKinnon | 2 | 0 | 1.01 |
| Charles C. Zhou | 3 | 0 | 1.69 |