Name
Abstract | ||
|---|---|---|
In resource-constrained devices, adaptation of data stream processing to variations of data rates and availability of resources is crucial for consistency and continuity of running applications. However, to enhance and maximize the benefits of adaptation, there is a need to go beyond mere computational and device capabilities to encompass the full spectrum of context-awareness. This paper presents a general approach for context-aware adaptive mining of data streams that aims to dynamically and autonomously adjust data stream mining parameters according to changes in context and situations. We perform intelligent and real-time analysis of data streams generated from sensors that is under-pinned using context-aware adaptation. A prototype of the proposed architecture is implemented and evaluated in the paper through a real-world scenario in the area of healthcare monitoring. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.3233/IDA-2009-0374 | Intell. Data Anal. |
Keywords | Field | DocType |
full spectrum,data stream mining parameter,device capability,context-aware adaptive mining,healthcare monitoring,general approach,data stream processing,data rate,context-aware adaptive data stream,data stream,context-aware adaptation,computing,data stream mining | Data mining,Data stream mining,Architecture,Data stream processing,Data analysis,Computer science,Fuzzy logic,STREAMS,Database | Journal |
Volume | Issue | ISSN |
13 | 3 | 1088-467X |
Citations | PageRank | References |
12 | 0.76 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pari Delir Haghighi | 1 | 157 | 19.86 |
| Arkady Zaslavsky | 2 | 1133 | 81.03 |
| Shonali Priyadarsini Krishnaswamy | 3 | 1439 | 104.01 |
| Mohamed Medhat Gaber | 4 | 1081 | 71.17 |
| Seng Loke | 5 | 74 | 4.72 |