Algorithmic Data Science

2024

Cost-Aware Retraining for Machine Learning

Mahadevan, A. & Mathioudakis, M., 18 mars 2024, I: Knowledge-Based Systems. 293

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Optimizing a Data Science System for Text Reuse Analysis

Mahadevan, A., Mathioudakis, M., Mäkelä, E. & Tolonen, M., jan. 2024, (Insänt) (arXiv e-prints).

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WaZI: A Learned and Workload-aware Z-Index

Pai, S. G., Mathioudakis, M. & Wang, Y., 18 mars 2024, I: Advances in Database Technology. 27, 3, s. 559-571 13 s.

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2023

A Comparative text similarity analysis of the works of Bernard Mandeville

Ryan, Y. C., Mahadevan, A. & Tolonen, M., 22 dec. 2023, I: Digital Enlightenment Studies. 1, 1, s. 28-58 31 s.

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Graph Summarization via Node Grouping: A Spectral Algorithm

Merchant, A., Mathioudakis, M. & Wang, Y., feb. 2023, Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining. Association for Computing Machinery

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Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms

Wang, Y., Mathioudakis, M., Li, J. & Fabbri, F., 2023, Proceedings of the 2023 SIAM International Conference on Data Mining (SDM). Shekhar, S., Zhou, Z.-H., Chiang, Y.-Y. & Stiglic, G. (red.). Society for Industrial and Applied Mathematics, s. 91 - 99

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Reception Reader: Exploring Text Reuse in Early Modern British Publications

Rosson, D. E., Mäkelä, E., Vaara, V., Mahadevan, A., Ryan, Y. C. & Tolonen, M., 17 apr. 2023, I: Journal of open humanities data. 9, 11 s.

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2022

Certifiable Unlearning Pipelines for Logistic Regression: An Experimental Study

Mahadevan, A. & Mathioudakis, M., 22 juni 2022, I: Machine learning and knowledge extraction. 4, 3, s. 591-620 30 s.

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Designing Affirmative Action Policies under Uncertainty

Hertweck, C. I., Castillo, C. & Mathioudakis, M., 31 aug. 2022, I: Journal of learning analytics . 9, 2, s. 121-137 17 s.

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Joint Use of Node Attributes and Proximity for Node Classification

Merchant, A. & Mathioudakis, M., 1 jan. 2022, COMPLEX NETWORKS & THEIR APPLICATIONS X, VOL 2: Complex Networks & Their Applications X. Benito, R. M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L. M. & Sales-Pardo, M. (red.). Springer, Cham, s. 511-522 12 s. (Studies in Computational Intelligence; vol. 1016).

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Provable randomized rounding for minimum-similarity diversification

Ordozgoiti, B., Mahadevan, A., Matakos, A. & Gionis, A., mars 2022, I: Data Mining and Knowledge Discovery. 36, s. 709-738 30 s.

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Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways

Fabbri, F., Wang, Y., Bonchi, F., Castillo, C. & Mathioudakis, M., apr. 2022, WWW'22: Proceedings of the ACM Web Conference 2022. Association for Computing Machinery, s. 2719–2728 10 s.

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Robustness of Sketched Linear Classifiers to Adversarial Attacks

Mahadevan, A., Merchant, A., Wang, Y. & Mathioudakis, M., okt. 2022, International Conference on Information and Knowledge Management (CIKM). Association for Computing Machinery, s. 4319-4323 5 s.

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Scalably Using Node Attributes and Graph Structure for Node Classification

Merchant, A., Mahadevan, A. & Mathioudakis, M., 30 juni 2022, I: Entropy. 24, 7, s. 511-522 18 s., 906.

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Streaming Algorithms for Diversity Maximization with Fairness Constraints

Wang, Y., Fabbri, F. & Mathioudakis, M., 2 aug. 2022, 2022 IEEE 38TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2022): ICDE 2022. IEEE, s. 41-53 13 s. (IEEE International Conference on Data Engineering).

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Succinct Graph Representations as Distance Oracles: An Experimental Evaluation

Merchant, A., Gionis, A. & Mathioudakis, M., sep. 2022, I: Proceedings of the VLDB Endowment. 15, 11, s. 2297 - 2306 10 s.

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Towards an Instance-Optimal Z-Index

Pai, S. G., Mathioudakis, M. & Wang, Y., 5 sep. 2022. 4 s.

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Workload-Aware Materialization of Junction Trees

Ciaperoni, M., Aslay, C., Gionis, A. & Mathioudakis, M., 2022, EDBT: 25th International Conference on Extending Database Technology: EDBT 2022. OpenProceedings.org, s. 65-77 13 s. (Advances in Database Technology; vol. 25).

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2021

(So) Big Data and the transformation of the city

Andrienko, G., Andrienko, N., Boldrini, C., Caldarelli, G., Cintia, P., Cresci, S., Facchini, A., Giannotti, F., Gionis, A., Guidotti, R., Mathioudakis, M., Muntean, C. I., Pappalardo, L., Pedreschi, D., Pournaras, E., Pratesi, F., Tesconi, M. & Trasarti, R., maj 2021, I: International Journal of Data Science and Analytics. 11, s. 311–340 30 s.

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A Fully Dynamic Algorithm for k-Regret Minimizing Sets

Wang, Y., Li, Y., Wong, R.C.-W. & Tan, K.-L., 2021, 2021 IEEE 37th International Conference on Data Engineering (ICDE). IEEE, s. 1631-1642 12 s. (IEEE International Conference on Data Engineering).

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A survey of typical attributed graph queries

Wang, Y., Li, Y., Fan, J., Ye, C. & Chai, M., jan. 2021, I: World Wide Web (New York). 24, s. 297-346 50 s.

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Certifiable Machine Unlearning for Linear Models

Mahadevan, A. & Mathioudakis, M., 2021, (Insänt) (arXiv e-prints).

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Fair and Representative Subset Selection from Data Streams

Wang, Y., Fabbri, F. & Mathioudakis, M., 2021, Proceedings of the Web Conference 2021 (WWW '21). ACM, s. 1340–1350

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Minimum Coresets for Maxima Representation of Multidimensional Data

Wang, Y., Mathioudakis, M., Li, Y. & Tan, K.-L., 2021, Proceedings of the 40th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS '21). ACM, s. 138–152

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Workload-aware materialization for efficient variable elimination on Bayesian networks

Aslay, C., Ciaperoni, M., Gionis, A. & Mathioudakis, M., 19 apr. 2021, 2021 IEEE 37th International Conference on Data Engineering (ICDE). s. 1152-1163 12 s. (IEEE International Conference on Data Engineering).

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2020

Affirmative Action Policies for Top-k Candidates Selection, With an Application to the Design of Policies for University Admissions

Mathioudakis, M., Castillo, C., Barnabo, G. & Celis, S., 2020, PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20). New York: ACM, s. 440-449 10 s.

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Evaluating Decision Makers over Selectively Labelled Data: A Causal Modelling Approach

Laine, R., Hyttinen, A. & Mathioudakis, M., 2020, Discovery Science: DS 2020. Cham: Springer, s. 3-18 16 s. (Lecture Notes in Computer Science; vol. 12323).

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Graph Summarization and Graph Embeddings: Towards A Spectral Connection

Merchant, A. & Mathioudakis, M., 2020.

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Towards Data-Driven Affirmative Action Policies under Uncertainty

Hertweck, C. I., Castillo, C. & Mathioudakis, M., 2020.

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2018

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Reducing Controversy by Connecting Opposing Views

Garimella, K., De Francisci Morales, G., Gionis, A. & Mathioudakis, M., juli 2018, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence: IJCAI-18. Lang, J. (red.). International Joint Conference on Artificial Intelligence, Inc, s. 5249-5253 5 s.

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Algorithmic Data Science

Cost-Aware Retraining for Machine Learning

Optimizing a Data Science System for Text Reuse Analysis

WaZI: A Learned and Workload-aware Z-Index

A Comparative text similarity analysis of the works of Bernard Mandeville

Graph Summarization via Node Grouping: A Spectral Algorithm

Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms

Reception Reader: Exploring Text Reuse in Early Modern British Publications

Certifiable Unlearning Pipelines for Logistic Regression: An Experimental Study

Designing Affirmative Action Policies under Uncertainty

Joint Use of Node Attributes and Proximity for Node Classification

Provable randomized rounding for minimum-similarity diversification

Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways

Robustness of Sketched Linear Classifiers to Adversarial Attacks

Scalably Using Node Attributes and Graph Structure for Node Classification

Streaming Algorithms for Diversity Maximization with Fairness Constraints

Succinct Graph Representations as Distance Oracles: An Experimental Evaluation

Towards an Instance-Optimal Z-Index

Workload-Aware Materialization of Junction Trees

(So) Big Data and the transformation of the city

A Fully Dynamic Algorithm for k-Regret Minimizing Sets

A survey of typical attributed graph queries

Certifiable Machine Unlearning for Linear Models

Fair and Representative Subset Selection from Data Streams

Minimum Coresets for Maxima Representation of Multidimensional Data

Workload-aware materialization for efficient variable elimination on Bayesian networks

Affirmative Action Policies for Top-k Candidates Selection, With an Application to the Design of Policies for University Admissions

Evaluating Decision Makers over Selectively Labelled Data: A Causal Modelling Approach

Graph Summarization and Graph Embeddings: Towards A Spectral Connection

Towards Data-Driven Affirmative Action Policies under Uncertainty

Fake News Detection in Social Networks via Crowd Signals

Markov Chain Monitoring

Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship

Reducing Controversy by Connecting Opposing Views

Algorithmic Data Science

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