Publikationen, an denen er mitarbeitet MARIA ARANZAZU ILLARRAMENDI ECHAVE (12)

2020

  1. A three level hierarchical architecture for an efficient storage of industry 4.0 data

    Computers in Industry, Vol. 121

2019

  1. A Hierarchical Storage System for Industrial Time-Series Data

    2019 IEEE 17TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN)

  2. A hierarchical storage system for industrial time-series data

    IEEE International Conference on Industrial Informatics (INDIN)

2018

  1. 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

  1. Requirements for a Big Data capturing and integration architecture in a distributed manufacturing scenario

    2016 IEEE 14TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN)

  2. Requirements for a big data capturing and integration architecture in a distributed manufacturing scenario

    IEEE International Conference on Industrial Informatics (INDIN)

2015

  1. 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

  1. Mapping among knowledge bases and data repositories: Precise definition of its syntax and semantics

    Information Systems, Vol. 24, Núm. 4, pp. 275-301

1997

  1. An Optimal Cache for a Federated Database System

    Journal of Intelligent Information Systems, Vol. 9, Núm. 2, pp. 125-155

1995

  1. MAINTAINING SCHEMATA CONSISTENCY FOR INTEROPERABLE DATABASE-SYSTEMS

    DATABASE SYSTEMS FOR ADVANCED APPLICATIONS '95

1994

  1. 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

  2. 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