JOSE MIGUEL
BLANCO ARBE
PROFESORADO TITULAR DE UNIVERSIDAD
MARIA ARANZAZU
ILLARRAMENDI ECHAVE
PROFESORADO CATEDRATICO/A DE UNIVERSIDAD
Publicaciones en las que colabora con MARIA ARANZAZU ILLARRAMENDI ECHAVE (12)
2020
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A three level hierarchical architecture for an efficient storage of industry 4.0 data
Computers in Industry, Vol. 121
2019
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A Hierarchical Storage System for Industrial Time-Series Data
2019 IEEE 17TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN)
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A hierarchical storage system for industrial time-series data
IEEE International Conference on Industrial Informatics (INDIN)
2018
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I4TSRs: A system to assist a data engineer in time-series dimensionality reduction in industry 4.0 scenarios
International Conference on Information and Knowledge Management, Proceedings
2016
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Requirements for a Big Data capturing and integration architecture in a distributed manufacturing scenario
2016 IEEE 14TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN)
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Requirements for a big data capturing and integration architecture in a distributed manufacturing scenario
IEEE International Conference on Industrial Informatics (INDIN)
2015
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Business understanding, challenges and issues of Big Data Analytics for the servitization of a capital equipment manufacturer
Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015
1999
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Mapping among knowledge bases and data repositories: Precise definition of its syntax and semantics
Information Systems, Vol. 24, Núm. 4, pp. 275-301
1997
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An Optimal Cache for a Federated Database System
Journal of Intelligent Information Systems, Vol. 9, Núm. 2, pp. 125-155
1995
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MAINTAINING SCHEMATA CONSISTENCY FOR INTEROPERABLE DATABASE-SYSTEMS
DATABASE SYSTEMS FOR ADVANCED APPLICATIONS '95
1994
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BUILDING A FEDERATED RELATIONAL DATABASE SYSTEM - AN APPROACH USING A KNOWLEDGE-BASED SYSTEM
INTERNATIONAL JOURNAL OF INTELLIGENT & COOPERATIVE INFORMATION SYSTEMS, Vol. 3, Núm. 4, pp. 415-455
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Making the Knowledge Base Systems More Efficient: A Method to Detect Inconsistent Queries
IEEE Transactions on Knowledge and Data Engineering, Vol. 6, Núm. 4, pp. 634-639