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Erschienen in: Information Systems Frontiers 1/2022

02.03.2022

Advances on Data Management and Information Systems

verfasst von: Jérôme Darmont, Boris Novikov, Robert Wrembel, Ladjel Bellatreche

Erschienen in: Information Systems Frontiers | Ausgabe 1/2022

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The research and technological area of data management encompasses various concepts, techniques, algorithms and technologies, including data modeling, data integration and ingestion, transactional data management, query languages, query optimization, physical data storage, data structures, analytical techniques (including On-Line Analytical Processing – OLAP), as well as service creation and orchestration (Garcia-Molina et al., 2009). Data management technologies are core components of every information system, either centralized or distributed, deployed in an on-premise hardware architecture or in a cloud ecosystem. Data management technologies have been used in commercial, mature products for decades. They were originally developed for managing structured data (mainly expressed in the relational data model). …

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Literatur
Zurück zum Zitat Abelló, A., Romero, O., Pedersen, T.B., Llavori, R.B., Nebot, V., Cabo, M.J.A., & Simitsis, A. (2015). Using semantic web technologies for exploratory OLAP: a survey. IEEE Transactions on Knowledge and Data Enginering, 27(2), 571–588.CrossRef Abelló, A., Romero, O., Pedersen, T.B., Llavori, R.B., Nebot, V., Cabo, M.J.A., & Simitsis, A. (2015). Using semantic web technologies for exploratory OLAP: a survey. IEEE Transactions on Knowledge and Data Enginering, 27(2), 571–588.CrossRef
Zurück zum Zitat Ali, S.M.F., & Wrembel, R. (2017). From conceptual design to performance optimization of ETL workflows: current state of research and open problems. The VLDB Journal, 26(6), 777–801.CrossRef Ali, S.M.F., & Wrembel, R. (2017). From conceptual design to performance optimization of ETL workflows: current state of research and open problems. The VLDB Journal, 26(6), 777–801.CrossRef
Zurück zum Zitat Angles, R., Arenas, M., Barcelo, P., Boncz, P., Fletcher, G., Gutierrez, C., Lindaaker, T., Paradies, M., Plantikow, S., Sequeda, J., van Rest, O., & Voigt, H. (2018). G-core: a core for future graph query languages. In ACM SIGMOD Int. Conf. on management of data (pp. 1421–1432). Angles, R., Arenas, M., Barcelo, P., Boncz, P., Fletcher, G., Gutierrez, C., Lindaaker, T., Paradies, M., Plantikow, S., Sequeda, J., van Rest, O., & Voigt, H. (2018). G-core: a core for future graph query languages. In ACM SIGMOD Int. Conf. on management of data (pp. 1421–1432).
Zurück zum Zitat Azzini, A.S.B. Jr, Bellandi, V., Catarci, T., Ceravolo, P., Cudré-mauroux, P., Maghool, S., Pokorný, J., Scannapieco, M., Sédes, F., Tavares, G.M., & Wrembel, R. (2021). Advances in data management in the big data era. In Advancing research in information and communication technology, IFIP AICT, (Vol. 600 pp. 99–126). Springer. Azzini, A.S.B. Jr, Bellandi, V., Catarci, T., Ceravolo, P., Cudré-mauroux, P., Maghool, S., Pokorný, J., Scannapieco, M., Sédes, F., Tavares, G.M., & Wrembel, R. (2021). Advances in data management in the big data era. In Advancing research in information and communication technology, IFIP AICT, (Vol. 600 pp. 99–126). Springer.
Zurück zum Zitat Bengio, Y., Lecun, Y., & Hinton, G. (2021). Deep learning for ai. Communcations of the ACM, 64(7), 58–65.CrossRef Bengio, Y., Lecun, Y., & Hinton, G. (2021). Deep learning for ai. Communcations of the ACM, 64(7), 58–65.CrossRef
Zurück zum Zitat Biggio, B., Diaz, C., Paulheim, H., & Saukh, O. (2021). Big minds sharing their vision on the future of ai (panel). In Database and expert systems applications (DEXA), LNCS, Vol. 12923. Springer. Biggio, B., Diaz, C., Paulheim, H., & Saukh, O. (2021). Big minds sharing their vision on the future of ai (panel). In Database and expert systems applications (DEXA), LNCS, Vol. 12923. Springer.
Zurück zum Zitat Bilalli, B., Abelló, A., Aluja-banet, T., & Wrembel, R. (2019). PRESISTANT: learning based assistant for data pre-processing. Data & Knowledge Engineering 123. Bilalli, B., Abelló, A., Aluja-banet, T., & Wrembel, R. (2019). PRESISTANT: learning based assistant for data pre-processing. Data & Knowledge Engineering 123.
Zurück zum Zitat Bodria, F., Giannotti, F., Guidotti, R., Naretto, F., Pedreschi, D., & Rinzivillo, S. (2021). Benchmarking and survey of explanation methods for black box models. arXiv:2102.13076. Bodria, F., Giannotti, F., Guidotti, R., Naretto, F., Pedreschi, D., & Rinzivillo, S. (2021). Benchmarking and survey of explanation methods for black box models. arXiv:2102.​13076.
Zurück zum Zitat Bogatu, A., Paton, N.W., Fernandes, A.A.A., & Koehler, M. (2019). Towards automatic data format transformations: Data wrangling at scale. The Computer Journal, 62(7), 1044–1060.CrossRef Bogatu, A., Paton, N.W., Fernandes, A.A.A., & Koehler, M. (2019). Towards automatic data format transformations: Data wrangling at scale. The Computer Journal, 62(7), 1044–1060.CrossRef
Zurück zum Zitat Bouakkaz, M., Ouinten, Y., Loudcher, S., & Strekalova, Y.A. (2017). Textual aggregation approaches in OLAP context: a survey. Int. Journal of Information Management, 37(6), 684–692.CrossRef Bouakkaz, M., Ouinten, Y., Loudcher, S., & Strekalova, Y.A. (2017). Textual aggregation approaches in OLAP context: a survey. Int. Journal of Information Management, 37(6), 684–692.CrossRef
Zurück zum Zitat Brdjanin, D., Banjac, D., Banjac, G., & Maric, S. (2018). An online business process model-driven generator of the conceptual database model. In Int. Conf. on web intelligence, mining and semantics. Brdjanin, D., Banjac, D., Banjac, G., & Maric, S. (2018). An online business process model-driven generator of the conceptual database model. In Int. Conf. on web intelligence, mining and semantics.
Zurück zum Zitat Chen, H., Wu, B., Deng, S., Huang, C., Li, C., Li, Y., & Cheng, J. (2020). High performance distributed OLAP on property graphs with grasper. In Int. Conf. on management of data, SIGMOD (pp. 2705–2708). ACM. Chen, H., Wu, B., Deng, S., Huang, C., Li, C., Li, Y., & Cheng, J. (2020). High performance distributed OLAP on property graphs with grasper. In Int. Conf. on management of data, SIGMOD (pp. 2705–2708). ACM.
Zurück zum Zitat Codd, E., Codd, S., & Salley, C. (1993). Providing OLAP to User-Analysts: an IT mandate. E.F codd & associates. Codd, E., Codd, S., & Salley, C. (1993). Providing OLAP to User-Analysts: an IT mandate. E.F codd & associates.
Zurück zum Zitat Cuzzocrea, A. (2015). Data warehousing and OLAP over Big Data: a survey of the state-of-the-art, open problems and future challenges. Int. Journal of Business Process Integration and Management, 7(4), 372–377.CrossRef Cuzzocrea, A. (2015). Data warehousing and OLAP over Big Data: a survey of the state-of-the-art, open problems and future challenges. Int. Journal of Business Process Integration and Management, 7(4), 372–377.CrossRef
Zurück zum Zitat Danso, S.O., Zeng, Z., Muniz, G.T., & Ritchie, C. (2021). Developing an explainable machine learning-based personalised dementia risk prediction model: a transfer learning approach with ensemble learning algorithms. Frontiers Big Data, 613047, 4. Danso, S.O., Zeng, Z., Muniz, G.T., & Ritchie, C. (2021). Developing an explainable machine learning-based personalised dementia risk prediction model: a transfer learning approach with ensemble learning algorithms. Frontiers Big Data, 613047, 4.
Zurück zum Zitat Deutsch, A., & Papakonstantinou, Y. (2018). Graph data models, query languages and programming paradigms. Proc. VLDB Endow., 11(12), 2106–2109.CrossRef Deutsch, A., & Papakonstantinou, Y. (2018). Graph data models, query languages and programming paradigms. Proc. VLDB Endow., 11(12), 2106–2109.CrossRef
Zurück zum Zitat Deutsch, A., Xu, Y., Wu, M., & Lee, V.E. (2020). Aggregation support for modern graph analytics in tigergraph. In ACM SIGMOD Int. Conf. on management of data (pp. 377–392). Deutsch, A., Xu, Y., Wu, M., & Lee, V.E. (2020). Aggregation support for modern graph analytics in tigergraph. In ACM SIGMOD Int. Conf. on management of data (pp. 377–392).
Zurück zum Zitat Du, M., Liu, N., & Hu, X. (2019). Techniques for interpretable machine learning. Communcations of the ACM, 63(1), 68–77.CrossRef Du, M., Liu, N., & Hu, X. (2019). Techniques for interpretable machine learning. Communcations of the ACM, 63(1), 68–77.CrossRef
Zurück zum Zitat García-Magariño, I., Rajarajan, M., & Lloret, J. (2019). Human-centric AI for trustworthy iot systems with explainable multilayer perceptrons. IEEE Access, 7, 125562–125574.CrossRef García-Magariño, I., Rajarajan, M., & Lloret, J. (2019). Human-centric AI for trustworthy iot systems with explainable multilayer perceptrons. IEEE Access, 7, 125562–125574.CrossRef
Zurück zum Zitat Garcia-Molina, H., Ullman, J.D., & Widom, J. (2009). Database systems - the complete book. London: Pearson Education. Garcia-Molina, H., Ullman, J.D., & Widom, J. (2009). Database systems - the complete book. London: Pearson Education.
Zurück zum Zitat Ghrab, A., Romero, O., Jouili, S., & Skhiri, S. (2018). Graph BI & analytics: Current state and future challenges. In Int. Conf. on big data analytics and knowledge discovery DAWAK, LNCS, (Vol. 11031 pp. 3–18). Springer. Ghrab, A., Romero, O., Jouili, S., & Skhiri, S. (2018). Graph BI & analytics: Current state and future challenges. In Int. Conf. on big data analytics and knowledge discovery DAWAK, LNCS, (Vol. 11031 pp. 3–18). Springer.
Zurück zum Zitat Ghrab, A., Romero, O., Skhiri, S., & Zimányi, E. (2021). Topograph: an end-to-end framework to build and analyze graph cubes. Information Systems Frontiers, 23(1), 203–226.CrossRef Ghrab, A., Romero, O., Skhiri, S., & Zimányi, E. (2021). Topograph: an end-to-end framework to build and analyze graph cubes. Information Systems Frontiers, 23(1), 203–226.CrossRef
Zurück zum Zitat Giovanelli, J., Bilalli, B., & Abelló, A. (2021). Effective data pre-processing for automl. In Int. Workshop on design, optimization, languages and analytical processing of big data (DOLAP), CEUR workshop proceedings, (Vol. 2840 pp. 1–10). Giovanelli, J., Bilalli, B., & Abelló, A. (2021). Effective data pre-processing for automl. In Int. Workshop on design, optimization, languages and analytical processing of big data (DOLAP), CEUR workshop proceedings, (Vol. 2840 pp. 1–10).
Zurück zum Zitat Goebel, R., Chander, A., Holzinger, K., Lécué, F., Akata, Z., Stumpf, S., Kieseberg, P., & Holzinger, A. (2018). Explainable AI: the new 42?. In IFIP TC 5 Int. Cross-domain conf. on machine learning and knowledge extraction CD-MAKE, LNCS, (Vol. 11015 pp. 295–303). Springer. Goebel, R., Chander, A., Holzinger, K., Lécué, F., Akata, Z., Stumpf, S., Kieseberg, P., & Holzinger, A. (2018). Explainable AI: the new 42?. In IFIP TC 5 Int. Cross-domain conf. on machine learning and knowledge extraction CD-MAKE, LNCS, (Vol. 11015 pp. 295–303). Springer.
Zurück zum Zitat Griffith, R.L. (1982). Three principles of representation for semantic networks. ACM Transactions on Database Systems 417–442. Griffith, R.L. (1982). Three principles of representation for semantic networks. ACM Transactions on Database Systems 417–442.
Zurück zum Zitat Hai, R., Quix, C., & Jarke, M. (2021). Data lake concept and systems: a survey arXiv:2106.09592. Hai, R., Quix, C., & Jarke, M. (2021). Data lake concept and systems: a survey arXiv:2106.​09592.
Zurück zum Zitat Han, J. (1997). OLAP Mining: Integration of OLAP with data mining. In Conf. on database semantics (DS), IFIP conference proceedings, (Vol. 124 pp. 3–20). Han, J. (1997). OLAP Mining: Integration of OLAP with data mining. In Conf. on database semantics (DS), IFIP conference proceedings, (Vol. 124 pp. 3–20).
Zurück zum Zitat Han, J. (2017). OLAP, Spatial, (pp. 809–812). Berlin: Encyclopedia of GIS Springer. Han, J. (2017). OLAP, Spatial, (pp. 809–812). Berlin: Encyclopedia of GIS Springer.
Zurück zum Zitat Hernández, A.́B., Pérez, M.S., Gupta, S., & Muntés-mulero, V. (2018). Using machine learning to optimize parallelism in big data applications. Future Gener. Comput. Syst., 86, 1076–1092.CrossRef Hernández, A.́B., Pérez, M.S., Gupta, S., & Muntés-mulero, V. (2018). Using machine learning to optimize parallelism in big data applications. Future Gener. Comput. Syst., 86, 1076–1092.CrossRef
Zurück zum Zitat Holzschuher, F., & Peinl, R. (2013). Performance of graph query languages: Comparison of cypher, gremlin and native access in neo4j. In Joint EDBT/ICDT workshops (pp. 195–204). Holzschuher, F., & Peinl, R. (2013). Performance of graph query languages: Comparison of cypher, gremlin and native access in neo4j. In Joint EDBT/ICDT workshops (pp. 195–204).
Zurück zum Zitat Karimi, M., Wu, D., Wang, Z., & Shen, Y. (2021). Explainable deep relational networks for predicting compound-protein affinities and contacts. Journal of Chemical Information and Modeling, 61(1), 46–66.CrossRef Karimi, M., Wu, D., Wang, Z., & Shen, Y. (2021). Explainable deep relational networks for predicting compound-protein affinities and contacts. Journal of Chemical Information and Modeling, 61(1), 46–66.CrossRef
Zurück zum Zitat Kedziora, D.J., Musial, K., & Gabrys, B. (2020). Autonoml: Towards an integrated framework for autonomous machine learning. arXiv:2012.12600. Kedziora, D.J., Musial, K., & Gabrys, B. (2020). Autonoml: Towards an integrated framework for autonomous machine learning. arXiv:2012.​12600.
Zurück zum Zitat Koehler, M., Abel, E., Bogatu, A., Civili, C., Mazilu, L., Konstantinou, N., Fernandes, A.A.A., Keane, J.A., Libkin, L., & Paton, N.W. (2021). Incorporating data context to cost-effectively automate end-to-end data wrangling. IEEE Transactions on Big Data, 7(1), 169–186.CrossRef Koehler, M., Abel, E., Bogatu, A., Civili, C., Mazilu, L., Konstantinou, N., Fernandes, A.A.A., Keane, J.A., Libkin, L., & Paton, N.W. (2021). Incorporating data context to cost-effectively automate end-to-end data wrangling. IEEE Transactions on Big Data, 7(1), 169–186.CrossRef
Zurück zum Zitat Konstantinou, N., & Paton, N.W. (2020). Feedback driven improvement of data preparation pipelines. Information Systems, 92, 101480.CrossRef Konstantinou, N., & Paton, N.W. (2020). Feedback driven improvement of data preparation pipelines. Information Systems, 92, 101480.CrossRef
Zurück zum Zitat Langer, M., Oster, D., Speith, T., Hermanns, H., Kästner, L., Schmidt, E., Sesing, A., & Baum, K. (2021). What do we want from explainable artificial intelligence (xai)? - a stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research. Artifitial Intelligence, 296, 103473.CrossRef Langer, M., Oster, D., Speith, T., Hermanns, H., Kästner, L., Schmidt, E., Sesing, A., & Baum, K. (2021). What do we want from explainable artificial intelligence (xai)? - a stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research. Artifitial Intelligence, 296, 103473.CrossRef
Zurück zum Zitat Liang, Y., Li, S., Yan, C., Li, M., & Jiang, C. (2021). Explaining the black-box model: a survey of local interpretation methods for deep neural networks. Neurocomputing, 419, 168–182.CrossRef Liang, Y., Li, S., Yan, C., Li, M., & Jiang, C. (2021). Explaining the black-box model: a survey of local interpretation methods for deep neural networks. Neurocomputing, 419, 168–182.CrossRef
Zurück zum Zitat Loudcher, S., Jakawat, W., Soriano-Morales, E.P., & Favre, C. (2015). Combining OLAP and information networks for bibliographic data analysis: a survey. Scientometrics, 103(2), 471–487.CrossRef Loudcher, S., Jakawat, W., Soriano-Morales, E.P., & Favre, C. (2015). Combining OLAP and information networks for bibliographic data analysis: a survey. Scientometrics, 103(2), 471–487.CrossRef
Zurück zum Zitat Mahbooba, B., Timilsina, M., Sahal, R., & Serrano, M. (2021). Explainable artificial intelligence (XAI) to enhance trust management in intrusion detection systems using decision tree model. Complexity, 2021, 6634811:1–6634811:11. Mahbooba, B., Timilsina, M., Sahal, R., & Serrano, M. (2021). Explainable artificial intelligence (XAI) to enhance trust management in intrusion detection systems using decision tree model. Complexity, 2021, 6634811:1–6634811:11.
Zurück zum Zitat Mahboubi, H., Hachicha, M., & Darmont, J. (2009). XML Warehousing And OLAP, Encyclopedia of Data Warehousing and Mining, Second Edition, vol. IV, pp. 2109–2116 IGI Publishing. Mahboubi, H., Hachicha, M., & Darmont, J. (2009). XML Warehousing And OLAP, Encyclopedia of Data Warehousing and Mining, Second Edition, vol. IV, pp. 2109–2116 IGI Publishing.
Zurück zum Zitat Maniatis, A.S. (2004). The case for mobile OLAP. In Current trends in database technology – EDBT workshops, LNCS, (Vol. 3268 pp. 405–414). Maniatis, A.S. (2004). The case for mobile OLAP. In Current trends in database technology – EDBT workshops, LNCS, (Vol. 3268 pp. 405–414).
Zurück zum Zitat Marketos, G., & Theodoridis, Y. (2010). Ad-hoc OLAP on Trajectory Data. In Int. Conf. on mobile data management (MDM) (pp. 189–198). Marketos, G., & Theodoridis, Y. (2010). Ad-hoc OLAP on Trajectory Data. In Int. Conf. on mobile data management (MDM) (pp. 189–198).
Zurück zum Zitat McHugh, J., Abiteboul, S., Goldman, R., Quass, D., & Widom, J. (1997). Lore: a database management system for semistructured data. SIGMOD Record, 26(3), 54–66.CrossRef McHugh, J., Abiteboul, S., Goldman, R., Quass, D., & Widom, J. (1997). Lore: a database management system for semistructured data. SIGMOD Record, 26(3), 54–66.CrossRef
Zurück zum Zitat Meusel, R., Vigna, S., Lehmberg, O., & Bizer, C. (2014). Graph structure in the web — revisited: a trick of the heavy tail. In Int. Conf. on world wide web (pp. 427–432). Meusel, R., Vigna, S., Lehmberg, O., & Bizer, C. (2014). Graph structure in the web — revisited: a trick of the heavy tail. In Int. Conf. on world wide web (pp. 427–432).
Zurück zum Zitat Miller, T. (2019). Explanation in artificial intelligence: Insights from the social sciences. Artificial Intelligence, 267, 1–38.CrossRef Miller, T. (2019). Explanation in artificial intelligence: Insights from the social sciences. Artificial Intelligence, 267, 1–38.CrossRef
Zurück zum Zitat Moldovan, D.I. (1984). An associative array architecture intended for semantic network processing. In Annual conf. of the ACM on the fifth generation challenge (pp. 212–221). ACM. Moldovan, D.I. (1984). An associative array architecture intended for semantic network processing. In Annual conf. of the ACM on the fifth generation challenge (pp. 212–221). ACM.
Zurück zum Zitat Moradi, M., & Samwald, M. (2021). Explaining black-box models for biomedical text classification. IEEE Journal of Biomedical and Health Informatics, 25(8), 3112–3120.CrossRef Moradi, M., & Samwald, M. (2021). Explaining black-box models for biomedical text classification. IEEE Journal of Biomedical and Health Informatics, 25(8), 3112–3120.CrossRef
Zurück zum Zitat Ohana, J., Ohana, S., Benhamou, E., Saltiel, D., & Guez, B. (2021). Explainable AI (XAI) models applied to the multi-agent environment of financial markets. In Explainable and transparent AI and multi-agent systems, lecture notes in computer science, (Vol. 12688 pp. 189–207). Springer. Ohana, J., Ohana, S., Benhamou, E., Saltiel, D., & Guez, B. (2021). Explainable AI (XAI) models applied to the multi-agent environment of financial markets. In Explainable and transparent AI and multi-agent systems, lecture notes in computer science, (Vol. 12688 pp. 189–207). Springer.
Zurück zum Zitat Peng, P., Zou, L., Özsu, M.T., Chen, L., & Zhao, D. (2016). Processing sparql queries over distributed rdf graphs. The VLDB Journal, 25, 243–268.CrossRef Peng, P., Zou, L., Özsu, M.T., Chen, L., & Zhao, D. (2016). Processing sparql queries over distributed rdf graphs. The VLDB Journal, 25, 243–268.CrossRef
Zurück zum Zitat Pokorný, J. (2016). Conceptual and database modelling of graph databases. In Int. Symp. on database engineering and application systems (IDEAS) (pp. 370–377). Pokorný, J. (2016). Conceptual and database modelling of graph databases. In Int. Symp. on database engineering and application systems (IDEAS) (pp. 370–377).
Zurück zum Zitat Quemy, A. (2019). Data pipeline selection and optimization. In Int. Workshop on design, optimization, languages and analytical processing of big data, CEUR workshop proceedings, Vol. 2324. Quemy, A. (2019). Data pipeline selection and optimization. In Int. Workshop on design, optimization, languages and analytical processing of big data, CEUR workshop proceedings, Vol. 2324.
Zurück zum Zitat Quemy, A. (2020). Two-stage optimization for machine learning workflow. Information Systems, 92, 101483.CrossRef Quemy, A. (2020). Two-stage optimization for machine learning workflow. Information Systems, 92, 101483.CrossRef
Zurück zum Zitat Romero, O., & Wrembel, R. (2020). Data engineering for data science: Two sides of the same coin. Int. Conf. on big data analytics and knowledge discovery DAWAK, LNCS, vol. 12393, pp. 157–166. Springer. Romero, O., & Wrembel, R. (2020). Data engineering for data science: Two sides of the same coin. Int. Conf. on big data analytics and knowledge discovery DAWAK, LNCS, vol. 12393, pp. 157–166. Springer.
Zurück zum Zitat Romero, O., Wrembel, R., & Song, I. (2020). An alternative view on data processing pipelines from the DOLAP 2019 perspective. Information Systems 92. Romero, O., Wrembel, R., & Song, I. (2020). An alternative view on data processing pipelines from the DOLAP 2019 perspective. Information Systems 92.
Zurück zum Zitat Salka, C. (1998). Ending the MOLAP/ROLAP debate: Usage based aggregation and flexible HOLAP. In Int. Conf. on data engineering (ICDE) (p. 180). Salka, C. (1998). Ending the MOLAP/ROLAP debate: Usage based aggregation and flexible HOLAP. In Int. Conf. on data engineering (ICDE) (p. 180).
Zurück zum Zitat Sardianos, C., Varlamis, I., Chronis, C., Dimitrakopoulos, G., Alsalemi, A., Himeur, Y., Bensaali, F., & Amira, A. (2021). The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency. Int. Journal of Intelligent Systems, 36(2), 656– 680.CrossRef Sardianos, C., Varlamis, I., Chronis, C., Dimitrakopoulos, G., Alsalemi, A., Himeur, Y., Bensaali, F., & Amira, A. (2021). The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency. Int. Journal of Intelligent Systems, 36(2), 656– 680.CrossRef
Zurück zum Zitat Sawadogo, P.N., & Darmont, J. (2021). On data lake architectures and metadata management. Journal of Intelligent Information Systems, 56(1), 97–120.CrossRef Sawadogo, P.N., & Darmont, J. (2021). On data lake architectures and metadata management. Journal of Intelligent Information Systems, 56(1), 97–120.CrossRef
Zurück zum Zitat Schuetz, C.G., Bozzato, L., Neumayr, B., Schrefl, M., & Serafini, L. (2021). Knowledge graph OLAP. Semantic Web, 12(4), 649–683.CrossRef Schuetz, C.G., Bozzato, L., Neumayr, B., Schrefl, M., & Serafini, L. (2021). Knowledge graph OLAP. Semantic Web, 12(4), 649–683.CrossRef
Zurück zum Zitat Tsikrika, T., & Manolopoulos, Y. (2016). A retrospective study on the 20 years of the ADBIS conference. In New trends in databases and information systems, communications in computer and information science, (Vol. 637 pp. 1–15). Springer. Tsikrika, T., & Manolopoulos, Y. (2016). A retrospective study on the 20 years of the ADBIS conference. In New trends in databases and information systems, communications in computer and information science, (Vol. 637 pp. 1–15). Springer.
Zurück zum Zitat Vassiliadis, P., & Sellis, T.K. (1999). A survey of logical models for OLAP databases. SIGMOD Record, 28(4), 64–69.CrossRef Vassiliadis, P., & Sellis, T.K. (1999). A survey of logical models for OLAP databases. SIGMOD Record, 28(4), 64–69.CrossRef
Zurück zum Zitat Witt, C., Bux, M., Gusew, W., & Leser, U. (2019). Predictive performance modeling for distributed batch processing using black box monitoring and machine learning. Information Systems, 82, 33–52.CrossRef Witt, C., Bux, M., Gusew, W., & Leser, U. (2019). Predictive performance modeling for distributed batch processing using black box monitoring and machine learning. Information Systems, 82, 33–52.CrossRef
Zurück zum Zitat Wrembel, R., Abelló, A., & Song, I. (2019). DOLAP Data warehouse research over two decades: Trends and challenges. Information Systems, 85, 44–47.CrossRef Wrembel, R., Abelló, A., & Song, I. (2019). DOLAP Data warehouse research over two decades: Trends and challenges. Information Systems, 85, 44–47.CrossRef
Metadaten
Titel
Advances on Data Management and Information Systems
verfasst von
Jérôme Darmont
Boris Novikov
Robert Wrembel
Ladjel Bellatreche
Publikationsdatum
02.03.2022
Verlag
Springer US
Erschienen in
Information Systems Frontiers / Ausgabe 1/2022
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-021-10235-4

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