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Li, Jieyu; Huang, Chunlan; Wang, Xiuhong; Wu, Shengli – Information Research: An International Electronic Journal, 2016
Introduction: In the big data age, we have to deal with a tremendous amount of information, which can be collected from various types of sources. For information search systems such as Web search engines or online digital libraries, the collection of documents becomes larger and larger. For some queries, an information search system needs to…
Descriptors: Search Engines, Data Processing, Database Management Systems, Data
Rorison, Jamey; Voight, Mamie – Institute for Higher Education Policy, 2015
Students, policymakers and institutions all need to have high quality data about how today's students access and pay for higher education--and what contributes to their success. But the data that are available now are woefully inadequate. We need to improve the national postsecondary data infrastructure The report thoroughly explores seven options…
Descriptors: Postsecondary Education, Data, Database Management Systems, Information Management
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Ivan, Ion; Ciurea, Cristian; Pavel, Sorin – Journal of Applied Quantitative Methods, 2010
The collaborative system with finite number of states is defined. A very large database is structured. Operations on large databases are identified. Repetitive procedures for collaborative systems operations are derived. The efficiency of such procedures is analyzed. (Contains 6 tables, 5 footnotes and 3 figures.)
Descriptors: Foreign Countries, Cooperation, Databases, Efficiency
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King, Michael A. – Journal of Information Technology Education, 2009
Business intelligence derived from data warehousing and data mining has become one of the most strategic management tools today, providing organizations with long-term competitive advantages. Business school curriculums and popular database textbooks cover data warehousing, but the examples and problem sets typically are small and unrealistic. The…
Descriptors: Strategic Planning, Problem Sets, Corporations, Statistics