Name
Title | ||
|---|---|---|
Evaluating and Improving Integration Quality for Heterogeneous Data Sources Using Statistical Analysis |
Abstract | ||
|---|---|---|
A time series (or equivalently a data stream) consists of data arriving in time order. Single or multiple data streams arise in fields including physics, finance, medicine, and music, to name a few. Often the data comes from sensors (in physics and medicine ... |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/IDEAS.2005.25 | IDEAS |
Keywords | Field | DocType |
time series,time order,heterogeneous data sources,improving integration quality,statistical analysis,multiple data stream,data stream,semi structured data,uncertainty,latent class analysis,data engineering,distributed databases,computer science,databases,information systems,data mining | Data mining,Computer science,Trustworthiness,Latent class model,Distributed database,Database,Structured data analysis,Statistical analysis | Conference |
ISBN | Citations | PageRank |
0-7695-2404-4 | 2 | 0.38 |
References | Authors | |
5 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Evgeniya Altareva | 1 | 2 | 0.38 |
| Stefan Conrad | 2 | 168 | 105.91 |