Current Research Projects
A platform for dynamic exploration of the cooperative health research in South Tyrol study data via multi-level network medicine (DyHealthNet)
Aims at developing a network-based software platform for dynamic and explorative analysis of the cohort data from the Cooperative Health Research in South Tyrol (CHRIS) study, the largest population cohort in Italy. The project is a collaboration between unibz, EURAC Research, the Friedrich-Alexander-University Erlangen-Nürnberg, and TU Munich. [more]Data Driven Anomaly Detection for Sustainable Water and Energy Smart Grids Management (DIADEM)
Aims at developing a framework for the sustainable use of energy and drinking water by supporting smart distribution systems with data driven managing tools. The project is a collaboration between the Faculty of Science and Technology and the Faculty of Computer Science at unibz. [more]Finished Research Projects
Predictive Maintenance for Industrial Equipment (PREMISE)
Aims at developing a framework for predictive maintenance for industrial assets. The project is a collaboration between unibz and the two industrial partners Durst and TechnoAlpin. [more]Enabling Industrial-Strength, Open-Source Temporal Query Processing (ISTeP)
Aims aims at boosting the efficiency and scalability of query processing in the temporal alignment framework. The tasks are to develop new temporal primitives, improving cost estimates, and providing equivalence rules. [more]Temporal Relational Database Management Systems
Aims at extending RDBMs with support for querying interval-timestamped data under sequenced semantics. The basic idea is to reduce the temporal operators to the non-temporal counterparts. Our solution is implemented in the kernel of PostgreSQL. [more]An Intelligent Analysis Platform for Stock Market Data (ISMarD)
Aims at building a data management and analysis framework for stock market time series data that supports various forms of historical analyses. [more]Temporal Data Analytics
Aims at developing solutions for analyzing temporal data. Specific addressed research problems include the development of algorithms for efficient computation of aggregation operators, the computation of approximation of aggregation result sets, support for visual data analysis. [more]GEDLIB
GEDLIB is an easily extensible C++ library for (suboptimally) computing the graph edit distance (GED) between two labeled graphs. GED is defined as the minimum cost of a sequence of elementary edit operations that transforms one graph into another. There are six elementary edit operations: changing the label of an existing node, inserting an isolated node, deleting an isolated node, changing the label of an existing edge, inserting an an edge between two existing nodes, and deleting an edge. GEDLIB implements several state of the art methods for computing GED and comes with predefined edit costs for some benchmark datasets. Further methods and edit costs can easily be implemented by the user. [more]Book chapter published in Synthetic Promoters
The book chapter "Chemical Reaction Models in Synthetic Promoter Design in Bacteria" by O. Kahramanogullari has been published in Synthetic Promoters. [link]
Demo accepted at VLDB 2024
The demo paper "SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications" by L. Althaus, M. Khayati, A. Khelifati, A. Dignös, D. Difallah, and P. Cudre-Mauroux has been accepted for publication at VLDB 2024 in Guangzhou, China.
Presentation accepted at ISBRA 2024
Our paper "Causal Analysis in Bio-pathways via Stochastically Simulated Perturbations" by O. Kahramanogullari, A. Dignös, and J. Gamper has been accepted for presentation at ISBRA 2024 in Kunming, China.
Paper accepted in ACM Computing Surveys
Our paper "Self-tuning Database Systems: A Systematic Literature Review of Automatic Schema Design and Tuning" by M. Mozaffari, A. Dignös, J. Gamper, and U. Störl has been accepted for publication in ACM Computing Surveys.
Paper accepted at DAWAK 2024
Our paper "Comparison of Measures for Characterizing the Difficulty of Time Series Classification" by A. Charane, M. Ceccarello, and J. Gamper has been accepted for publication at DAWAK 2024 in Naples, Italy.
Paper accepted at DAWAK 2024
Our paper "QPAVE: A Multi-task Question Answering Approach for Fine-Grained Product Attribute Value Extraction" by K. Sabeh, M. Kacimi, and J. Gamper has been accepted for publication at DAWAK 2024 in Naples, Italy.
Paper accepted in Information Systems Frontiers
Our paper "Efficiently labeling and retrieving temporal anomalies in relational databases" by C. Khnaisser, H. Hamrouni, D. B. Blumenthal, A. Dignös, and J. Gamper has been accepted for publication in Information Systems Frontiers.
Paper accepted at LPAR 2024
Our paper "Proof Search in Deep Inference: The Need for Shallow Inference" by O. Kahramanogullari has been accepted for publication at LPAR 2024 in Port Louis, Mauritius.
Paper accepted at DASFAA 2024
Our paper "Parallel Processing of Temporal Anti-Joins in Memory" by I. Reppas, M. Mirabi, L. Fathi, C. Binnig, A. Dignös, and J. Gamper has been accepted for publication at DASFAA 2024 in Gifu, Japan.
Paper accepted at DOLAP 2024
Our paper "Shapelets Evaluation using Silhouettes for Time Series Classification" by A. Charane, M. Ceccarello, and J. Gamper has been accepted for publication at DOLAP 2024 in Paestum, Italy.
Best Paper Award at SSDBM 2023
Our paper "Indexing Temporal Relations for Range-Duration Queries" by M. Ceccarello, A. Dignös, J. Gamper, and C. Khnaisser has been selected for the best paper award at SSDBM 2023 in Los Angeles, CA, USA. Congratulations!
Paper accepted at VLDB 2023
Our paper "TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications" by A. Khelifati, M. Khayati, A. Dignös, D. Difallah, and P. Cudre-Mauroux has been accepted for publication at VLDB 2023 in Vancouver, Canada.
Best Paper Award at ADBIS 2022
Our paper "Querying Temporal Anomalies in Healthcare Information Systems and Beyond" by C. Khnaisser, H. Hamrouni, D. B. Blumenthal, A. Dignös, and J. Gamper has been selected for the best paper award at ADBIS 2022 in Torino, Italy. Congratulations!
Paper accepted at VLDB 2023
Our paper "Fast and Scalable Mining of Time Series Motifs with Probabilistic Guarantees" by M. Ceccarello and J. Gamper has been accepted for publication at VLDB 2023 in Vancouver, Canada.
Paper accepted in Information Sciences
Our paper "Enumerating dissimilar minimum cost perfect and error-correcting bipartite matchings for robust data matching" by D. B. Blumenthal, S. Bougleux, A. Dignös and J. Gamper has been accepted in Information Sciences. [link]
Paper published in The Journal of Supercomputing
Our paper "APT-Dt-KC: advanced persistent threat detection based on kill-chain model" by M. Panahnejad and M. Mirabi has been published in The Journal of Supercomputing. [link]
Former PhD student David B. Blumenthal won the best PhD student award
We congratulate our former PhD student David B. Blumenthal for winning the best PhD student award from the Faculty of Computer Science of the Free University of Bozen-Bolzano for the year 2020. Congratulations David!
Paper published in The Journal of Supercomputing
Our paper "Controller placement in software defined networks using multi-objective antlion algorithm" by M. M. Kazemian and M. Mirabi has been published in The Journal of Supercomputing. [link]
Paper accepted in The VLDB Journal
Our paper "Leveraging Range Joins for the Computation of Overlap Joins" by A. Dignös, M. H. Böhlen, J. Gamper, C. S. Jensen and P. Moser has been accepted for publication in The VLDB Journal.
Paper published in The Journal of Supercomputing
Our paper "Efficient XML data placement schemes over multiple mobile wireless broadcast channels" by S. F. Ozonbolagh and M. Mirabi has been published in The Journal of Supercomputing. [link]
Paper accepted in Information Systems
Our paper "The Role of Local Dimensionality Measures in Benchmarking Nearest Neighbor Search" by M. Ceccarello and Martin Aumüller has been accepted for publication in Information Systems.
Paper accepted in Information Systems
Our paper "Scalable generalized median graph estimation and its manifold use in bioinformatics, clustering, classification, and indexing" by D. B. Blumenthal, N. Boria, S. Bougleux, L. Brun, J. Gamper and B. Gaüzère has been accepted for publication in Information Systems.
Demo accepted at EDBT 2021
Our demo paper "Correlation graph analytics for stock time series data" by T. Liu, P. Coletti, A. Dignös, J. Gamper and M. Murgia has been accepted for publication at EDBT 2021 in Nicosia, Cyprus.
Paper accepted in The VLDB Journal
Our paper "Cache-Efficient Sweeping-Based Interval Joins for Extended Allen Relation Predicates" by D. Piatov, S. Helmer, A. Dignös, and F. Persia has been accepted for publication in The VLDB Journal.
Paper accepted at ICDE 2021
Our research paper "Approximating multidimensional range counts with maximum error guarantees" by M. Shekelyan, A. Dignös, J. Gamper, and M. Garofalakis has been accepted for publication at ICDE 2021 in Chania, Greece.
Paper published in TKDD
Our paper "A General Coreset-Based Approach to Diversity Maximization under Matroid Constraints" by M. Ceccarello, A. Pietracaprina, and G. Pucci has been published in ACM Transactions on Knowledge Discovery from Data. [link]
Johann Gamper Demo Co-Chair of ICDE 2021
Johann has been appointed Demo Co-Chair of ICDE 2021 in Chania, Crete, Greece.
Johann Gamper re-nominated Vice-Rector of unibz
We congratulate Johann for being re-nominated vice-rector for research and innovation at unibz. [more]
PhD defense of Giovani Mahlknecht
Giovani successfully defended his PhD thesis entitled "Temporal Aggregation for Data Analytics". Congratulations Giovanni!
Paper accepted in The VLDB Journal
Our paper "Finding k-Shortest Paths with Limited Overlap" by T. Chondrogiannis, P. Bouros, J. Gamper, U. Leser, and D. B. Blumenthal has been accepted for publication in The VLDB Journal.
Paper accepted in Future Generation Computer Systems
Our paper "Improving orienteering-based tourist trip planning with social sensing" by F. Persia, G. Pilato, M. Ge, P. Bolzoni, D. D'Auria, and S. Helmer has been accepted for publication in Future Generation Computer Systems.
PhD defense of David B. Blumenthal
David successfully defended his PhD thesis entitled "New Techniques for Graph Edit Distance Computation". Congratulations David!
Paper accepted at SSTD 2019
Our research paper "Period Index: A Learned 2D Hash Index for Range and Duration Queries" by A. Behrend, A. Dignös, J. Gamper, P. Schmiegelt, H. Voigt, M. Rottmann, and K. Kahl has been accepted for publication at SSTD 2019 in Vienna, Austria.
Demo accepted at SSTD 2019
Our demo paper "HOTPERIODS: Visual Correlation Analysis of Interval Data" by N. Duran, G. Mahlknecht, A. Dignös and J. Gamper has been accepted for publication at SSTD 2019 in Vienna, Austria.
Paper accepted in The VLDB Journal
Our paper "Comparing heuristics for graph edit distance computation" by D. B. Blumenthal, N. Boria, J. Gamper, S. Bougleux, and L. Brun has been accepted for publication in The VLDB Journal.
Paper accepted at GbRPR 2019
Our paper "GEDLIB: A C++ Library for Graph Edit Distance Computation" by D. B. Blumenthal, S. Bougleux, J. Gamper, and L. Brun has been accepted for publication at GbRPR 2019 in Tours, France. Check out the code here.
Paper accepted at VLDB 2019
Our paper "Snapshot semantics for temporal mutliset relations" by A. Dignös, B. Glavic, X. Niu, J. Gamper, and M. H. Böhlen has been accepted for publication at VLDB 2019 in Los Angeles, USA.
Johann Gamper nominated Vice-Rector of unibz
We congratulate Johann for being nominated vice-rector for research and innovation at unibz. [more]
SSDBM 2018 in Bozen-Bolzano
We successfully concluded the SSDBM in Bozen-Bolzano. Pictures of the conference and mountain tour are available here.