Searched for: "uncertainty in data integration"
- Data Management (16)
- Business Intelligence (6)
- Networking (5)
- Tablets (4)
- Mobility (3)
- Cloud (2)
- It Employment (2)
- Leadership (2)
- Legal (2)
- Security (2)
- Banking (1)
- Big Data (1)
- Browser (1)
- Channel (1)
- Collaboration (1)
- Data Centers (1)
- E-Commerce (1)
- Enterprise 2.0 (1)
- Eu (1)
- Government (1)
- Hardware (1)
- Open Source (1)
- Project Management (1)
- Social Enterprise (1)
About 62 results for "uncertainty in data integration"
Numerous available techniques to integrate information source reliability in an uncertainty representation, but there are only a few works focusing on the problem of evaluating thi...
Data warehousing is gaining in eminence as organizations become awake of the benefits of decision oriented and business intelligence oriented data bases. Informed decision-making i...
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.
Classical algorithms for query optimization presuppose the absence of inconsistencies or uncertainties in the database and exploit only valid semantic knowledge provided, e.g., by ...
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...