Results 41 to 50 of about 21,301,259 (161)
Securing Document Warehouses against Brute Force Query Attacks
The paper presents the scheme of data management and protocols for securing document collection against adversary users who try to abuse their access rights to find out the full content of confidential documents.
Sergey Vladimirovich Zapechnikov
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Architecture and Quality in Data Warehouses [PDF]
Most database researchers have studied data warehouses (DW) in their role as buffers of materialized views, mediating between updateintensive OLTP systems and query-intensive decision support. This neglects the organizational role of data warehousing as a means of centralized information flow control. As a consequence, a large number of quality aspects
Vassiliadis, P. +3 more
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Multi-Level Mining of Association Rules from Warehouse Schema
The integration of data mining techniques with data warehousing is becoming an interesting domain. The reason behind this popularity is the ability to extract knowledge from large data sets.
Muhammad Usman, Muhammad Usman
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The development and use of data warehousing in clinical settings: a scoping review
IntroductionThe emergence of data warehousing in clinical settings has greatly enhanced data analysis capabilities, facilitating the accurate and comprehensive extraction of valuable information.
Shiyang Lyu +5 more
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Towards to a Predictive Model of Academic Performance Using Data Mining in the UTN - FRRe [PDF]
Students completing the courses required to become an Engineer in Information Systems in the Resistencia Regional Fac-ulty, National Technological University, Argentine (UTN-FRRe), face the chal-lenge of attending classes and fulfilling course ...
David L. La Red Martínez +3 more
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Goal oriented requirements engineering in data warehouses: A comparative study
Data warehouses provide historical information about the organization that needs to be analyzed by the decision makers; therefore, it is essential to develop them in the context of a strategic business plan.
Ania Cravero Leal +4 more
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Data Science Driven Analysis of the Impact of COVID-19 [PDF]
In the context of a pandemic that emerged with lightning speed, data science has become a cornerstone for governments decision-making processes. By analyzing numerous centralized databases, researchers have been able to identify trends, the spread of the
Serban Gabriel TIMOFTE +4 more
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A PROPOSAL OF DATA QUALITY FOR DATA WAREHOUSES ENVIRONMENT
The quality of the data provided is critical to the success of data warehousing initiatives. There is strong evidence that many organisations have significant data quality problems, and that these have substantial social and economic impacts.
Leo Willyanto Santoso, Kartika Gunadi
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LOD for Data Warehouses: Managing the Ecosystem Co-Evolution
For more than 30 years, data warehouses (DWs) have attracted particular interest both in practice and in research. This success is explained by their ability to adapt to their evolving environment.
Selma Khouri, Ladjel Bellatreche
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Harvesting Information from a Library Data Warehouse
Data warehousing technology has been defined by John Ladley as "a set of methods, techniques, and tools that are leveraged together and used to produce a vehicle that delivers data to end users on an integrated platform." (1) This concept h s been ...
Siew-Phek T. Su, Ashwin Needamangala
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