Searched for: "uncertainty in data integration"
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About 64 results for "uncertainty in data integration"
Uncertainty is a major barrier in knowledge discovery from complex problem domains. Knowledge discovery in such domains requires qualitative rather than quantitative analysis. Ther...
In many real time applications like sensors monitoring system, location based system and data integration are inexact in nature. It is difficult to extract frequent Item sets from ...
For years, Postgres lived in MySQL's shadow -- but now, a "perfect storm" is propelling its rise.
Database systems for uncertain and probabilistic data promise to have many applications. Query processing on uncertain data occurs in the contexts of data warehousing, data integra...
This briefing takes a look at how to plan for uncertainties across all time horizons in the oil and gas industry. The industry provides unique and challenging planning puzzles that...
Secure in-network aggregation in wireless sensor networks is a necessary and challenging task. Secure in-network aggregation refers to acquiring the sensed data from the sensors an...
Uncertainty generated during a data integration process is often used to avoid information loss. This uncertainty could exist in the resulting data itself, but also in the generate...
Will Kelly offers some suggestions to CIOs for formulating a tablet strategy in 2014.
There are many available methods to combine information source reliability in an uncertainty representation, but there are only a few works focusing on the problem of evaluating th...
In recent years dealing with uncertainty has gained increasing attention in the past few years in both static and streaming data management and mining. Data uncertainty is inherent...