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Advances in Databases and Information Systems: 26th European Conference, ADBIS 2022, Turin, Italy, September 5-8, 2022, Proceedings

1, 2022

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Breakthroughs on Cross-Cutting Data Management, Data Analytics, and Applied Data Science

Information systems frontiers, 2021-02, Vol.23 (1), p.1-7

2021

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Towards an Automated, Fast and Interpretable Estimation Model of Heating Energy Demand: A Data-Driven Approach Exploiting Building Energy Certificates

Energies (Basel), 2019-04, Vol.12 (7), p.1273

2019

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Editorial special issue on data analytics for engineering, science and society

Computing, 2020-05, Vol.102 (5), p.1093-1096

2020

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New Trends in Database and Information Systems: ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022, Proceedings

1, 2022

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Characterizing Situations of Dock Overload in Bicycle Sharing Stations

Applied sciences, 2018-12, Vol.8 (12), p.2521

2018

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Analysis of Twitter Data Using a Multiple-level Clustering Strategy

Model and Data Engineering, 2013, Vol.8216, p.13-24

2013

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Complementing Location-Based Social Network Data With Mobility Data: A Pattern-Based Approach

IEEE transactions on intelligent transportation systems, 2022-11, Vol.23 (11), p.1-12

2022

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New Trends in Databases and Information Systems: ADBIS 2018 Short Papers and Workshops, AIQA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND, DC, Budapest, Hungary, September, 2-5, 2018, Proceedings

1st ed. 2018., 2018

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Big Data Analytics and Knowledge Discovery: 26th International Conference, DaWaK 2024, Naples, Italy, August 26-28, 2024, Proceedings

2024th edition, 2024

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Exploiting clustering algorithms in a multiple-level fashion: A comparative study in the medical care scenario

Expert systems with applications, 2016-08, Vol.55, p.297-312

2016

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Advances on data management systems

Information systems (Oxford), 2025-01, Vol.127, p.102467, Article 102467

2025

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Twitter data laid almost bare: An insightful exploratory analyser

Expert systems with applications, 2017-12, Vol.90, p.501-517

2017

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Characterizing unpredictable patterns in Wireless Sensor Network data

Information sciences, 2018-10, Vol.467, p.149-162

2018

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Big Data Analytics for Smart Cities

Electronics (Basel), 2021-06, Vol.10 (12), p.1439

2021

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A Knowledge-Based Approach to Support Analytic Query Answering in Semantic Data Lakes

Advances in Databases and Information Systems, 2022, p.179-192

2022

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Advances in Databases and Information Systems: 26th European Conference, ADBIS 2022, Turin, Italy, September 5–8, 2022, Proceedings

2022

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Feature Ranking from Random Forest Through Complex Network’s Centrality Measures: A Robust Ranking Method Without Using Out-of-Bag Examples

Advances in Databases and Information Systems, 2022, p.330-343

2022

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Predicting critical conditions in bicycle sharing systems

Computing, 2017, Vol.99 (1), p.39-57

2017

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A Lazy Approach to Associative Classification

IEEE transactions on knowledge and data engineering, 2008-02, Vol.20 (2), p.156-171

2008

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Predicting Car Availability in Free Floating Car Sharing Systems: Leveraging Machine Learning in Challenging Contexts

Electronics (Basel), 2020-08, Vol.9 (8), p.1322

2020

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An explainable data-driven approach to web directory taxonomy mapping

Procedia computer science, 2020, Vol.176, p.1101-1110

2020

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Digging deep into weighted patient data through multiple-level patterns

Information sciences, 2015-11, Vol.322, p.51-71

2015

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Guest editorial: Papers selected from European conference on advances in databases and information systems

Computer Science and Information Systems, 2024-06, Vol.21 (3), p.v-v

2024

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Analysis of diabetic patients through their examination history

Expert systems with applications, 2013-09, Vol.40 (11), p.4672-4678

2013

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Advances in Databases and Information Systems: 26th European Conference, ADBIS 2022, Turin, Italy, September 5-8, 2022, Proceedings

Breakthroughs on Cross-Cutting Data Management, Data Analytics, and Applied Data Science

Towards an Automated, Fast and Interpretable Estimation Model of Heating Energy Demand: A Data-Driven Approach Exploiting Building Energy Certificates

Editorial special issue on data analytics for engineering, science and society

New Trends in Database and Information Systems: ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022, Proceedings

Characterizing Situations of Dock Overload in Bicycle Sharing Stations

Analysis of Twitter Data Using a Multiple-level Clustering Strategy

Complementing Location-Based Social Network Data With Mobility Data: A Pattern-Based Approach

New Trends in Databases and Information Systems: ADBIS 2018 Short Papers and Workshops, AIQA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND, DC, Budapest, Hungary, September, 2-5, 2018, Proceedings

Big Data Analytics and Knowledge Discovery: 26th International Conference, DaWaK 2024, Naples, Italy, August 26-28, 2024, Proceedings

Exploiting clustering algorithms in a multiple-level fashion: A comparative study in the medical care scenario

Advances on data management systems

Twitter data laid almost bare: An insightful exploratory analyser

Characterizing unpredictable patterns in Wireless Sensor Network data

Big Data Analytics for Smart Cities

A Knowledge-Based Approach to Support Analytic Query Answering in Semantic Data Lakes

Advances in Databases and Information Systems: 26th European Conference, ADBIS 2022, Turin, Italy, September 5–8, 2022, Proceedings

Feature Ranking from Random Forest Through Complex Network’s Centrality Measures: A Robust Ranking Method Without Using Out-of-Bag Examples

Predicting critical conditions in bicycle sharing systems

A Lazy Approach to Associative Classification

Predicting Car Availability in Free Floating Car Sharing Systems: Leveraging Machine Learning in Challenging Contexts

An explainable data-driven approach to web directory taxonomy mapping

Digging deep into weighted patient data through multiple-level patterns

Guest editorial: Papers selected from European conference on advances in databases and information systems

Analysis of diabetic patients through their examination history

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