Name
Abstract | ||
|---|---|---|
As the amount of available data continues to increase, more and more effective means for discovering important patterns and relationships within that data are required. Al- though the power of automated tools continues to increase, we contend that greater gains can be achieved by coordin- ating results from a variety of tools and by enhancing the user's ability to direct the application of these tools. A sys- tem which can rely on multiple modalities for processing in- formation has a distinct benefit in terms of user-confidence in the final results. We set forth an approach which permits a flexible, user-controllable model of the information space within which basic tools can be integrated. The analysis of data, whether it be through visualization or data min- ing, for example, is an exercise in problem-solving and any computer-based tool to support the analysis process should be designed to support problem-solving activities. The pro- cess by which a user can develop and interact with this model is described and the benefits of this approach are dis- cussed. This integration can be extremely useful both for the development of new hypotheses regarding the data and for verification of existing hypotheses. |
Year | Venue | Field |
|---|---|---|
2004 | Workshop on Web-based Support Systems | Data science,Information processing,Data analysis,Visualization,Multiple modalities,Computer science,Information space,Artificial intelligence,Seven Basic Tools of Quality,Machine learning |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
23 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daryl H. Hepting | 1 | 80 | 15.55 |
| Cory J. Butz | 2 | 383 | 40.80 |