Name
Abstract | ||
|---|---|---|
Nowadays doctors are generating a huge amount of raw data. These data, analyzed with data mining techniques, could be sources of new knowledge. Unluckily such tasks need skilled data analysts, and not so much researchers in Medicine are also data mining experts. In this paper we present a web based system for knowledge discovery assistance in Medicine able to advice a medical researcher in this kind of tasks. The user must define only the experiment specifications in a formal language we have defined. The system GUI helps users in their composition. Then the system plans a Knowledge Discovery Process (KDP) on the basis of rules in a knowledge base. Finally the system executes the KDP and produces a model as result. The system works through the co-operation of different web services specialized in different tasks. The system is still under development. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74782-6_68 | AI*IA |
Keywords | Field | DocType |
data mining expert,knowledge discovery assistant,towards mkda,knowledge discovery assistance,knowledge base,new knowledge,system work,different task,raw data,system gui,skilled data analyst,data mining technique,formal language,knowledge discovery,data mining,web service | Data science,Knowledge integration,Domain knowledge,Computer science,Knowledge-based systems,Knowledge engineering,Knowledge extraction,Knowledge base,Open Knowledge Base Connectivity,Software mining | Conference |
Volume | ISSN | Citations |
4733 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 9 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vincenzo Cannella | 1 | 18 | 5.98 |
| Giuseppe Russo | 2 | 41 | 8.74 |
| Daniele Peri | 3 | 24 | 10.14 |
| Roberto Pirrone | 4 | 140 | 36.09 |
| Edoardo Ardizzone | 5 | 239 | 40.79 |