Results 311 to 320 of about 1,093,487 (365)
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Information enhancement for data mining
WIREs Data Mining and Knowledge Discovery, 2011AbstractInformation enhancement techniques are desired in many areas such as data mining, machine learning, business intelligence, and web data analysis. Information enhancement mainly includes the following topics: data cleaning, data preparation and transformation, missing values imputation, feature and instance selection, feature construction ...
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Privacy enhancement for data outsourcing
2015 International Conference on Information and Communication Technology Convergence (ICTC), 2015The demand of storing and processing data online grows quickly to adapt to the rapid change of business. It could lead to crisis if the cloud service provider is compromised and data of users are exposed to attackers in plaintext. In this paper, we introduce a practical scheme that dynamically protects and outsources data on demand, as well as propose ...
Long Nguyen-Vu +3 more
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Enhancing Open Government Data With Data Provenance
Proceedings of the 11th International Conference on Management of Digital EcoSystems, 2019The Brazilian Government has adhered to the Linked Open Government Data publication policy. Thus, promoting a more transparent and open administration, allowing greater participation of society, the strengthening of democracy, and combating corruption. All of these matters can be affected by how open data is published.
Cleyton P. dos Reis +5 more
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Journal of Management Analytics, 2021
Data narratives are an emerging form of communication that employs enhanced media for effective knowledge transfer of complex information.
Judd D. Bradbury, Rosanna E. Guadagno
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Data narratives are an emerging form of communication that employs enhanced media for effective knowledge transfer of complex information.
Judd D. Bradbury, Rosanna E. Guadagno
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An Enhanced Technique to Clean Data in the Data Warehouse
2011 Developments in E-systems Engineering, 2011Data quality is a critical factor for the success of data warehousing projects. Improving the quality of data is important in data warehouse, because it is used in the process of decision support, which requires accurate data. There are many errors and inconsistencies that occur in the data sets when brought in from several sources.
Mortadha M. Hamad, Alaa Abdulkhar Jihad
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Enhancement of secure data transmission
Proceedings of the 2007 Euro American conference on Telematics and information systems, 2007The growth of high-speed networks has explored means of new business, science, entertainment and social opportunities. This has been achieved through client-server technology. Compression and encryption places a vital role in client-server technology.
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Data-Centric Transformations for Locality Enhancement
International Journal of Parallel Programming, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Induprakas Kodukula, Keshav Pingali
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Data Enhancement for Binary Classification of Relational Data
Proceedings of the ACM on Management of DataThis paper studies enhancement of training data D to improve the robustness of machine learning (ML) classifiers M against adversarial attacks on relational data. Data enhancing aims to (a) defuse poisoned imperceptible features embedded in
Wenfei Fan +3 more
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Enhanced Querying of Open Data Portals
2018Open Data portals have become a common service provided by many Public Administrations around the world, where they openly publish many data sets concerning citizens and territories, in order to increase the amount of information made available for people, firms and public administrators.
Pelucchi, Mauro +2 more
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Dynamic Memories with Enhanced Data Access
IEEE Transactions on Computers, 1972Dynamic memories are commonly constructed as circulating shift registers, and thus have access times that are proportional to the size of memory. When each word in a dynamic memory is connected to r words, r ? 2, access time can be proportional to the base r logarithm of the size of memory.
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