Name
Abstract | ||
|---|---|---|
ICU is a typical environment where data stream has been applied to real-life scenarios. Medical data streams share the characteristic of real-time, complex semantics as well as meaningful patterns. Since traditional query methods or pattern process are inherently unable to satisfy real time analysis on various medical data streams, we introduce a novel concept of composite pattern, generalize it to the SQL-like query expression, and propose a method to support ad hoc queries with complex semantic patterns. Our experiments show it is feasible and effective on medical data streams. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/BMEI.2009.5302070 | BMEI |
Keywords | Field | DocType |
intensive care unit,medical information systems,base pattern,medical data streams,icu,real-time semantics,complex semantic patterns,sql-like query expression,composite pattern query expression,query processing,sql,real time,satisfiability | SQL,Data mining,Data stream mining,Computer science,Data stream,Composite pattern,Real time analysis,Semantics | Conference |
ISSN | ISBN | Citations |
1948-2914 | 978-1-4244-4134-1 | 1 |
PageRank | References | Authors |
0.36 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feifei Li | 1 | 1 | 0.70 |
| Hongyan Li | 2 | 269 | 64.39 |
| qiang qu | 3 | 83 | 12.15 |