Name
Abstract | ||
|---|---|---|
Most modern businesses can access mountains of data electronically驴the trick is effectively using that data. In practice, this means summarizing large data sets to find the data that really matters. Most data miners are zealous hunters seeking detailed summaries and generating extensive and lengthy descriptions. The authors take a different approach and assume that busy people don't need驴or can't use驴complex models. Rather, they want only the data they need to achieve the most benefits.Instead of finding extensive descriptions of things, their data mining tool hunts for a minimal difference set between things because they believe a list of essential differences is easier to read and understand than detailed descriptions. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/MC.2003.1244531 | IEEE Computer |
Keywords | DocType | Volume |
busy people,extensive description,complex model,Busy People,large data,Data Mining,data miner,essential difference,different approach,detailed description,detailed summary,data mining tool | Journal | 36 |
Issue | ISSN | Citations |
11 | 0018-9162 | 28 |
PageRank | References | Authors |
1.64 | 11 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tim Menzies | 1 | 2886 | 151.44 |
| Ying Hu | 2 | 312 | 28.67 |