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Matteo Riondato
Matteo Riondato
Associate Professor of Computer Science, Amherst College
amherst.edu의 이메일 확인됨 - 홈페이지
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Fast approximation of betweenness centrality through sampling
M Riondato, EM Kornaropoulos
Proceedings of the 7th ACM international conference on Web search and data …, 2014
3002014
Learning-based query performance modeling and prediction
M Akdere, U Çetintemel, M Riondato, E Upfal, SB Zdonik
2012 IEEE 28th International Conference on Data Engineering, 390-401, 2012
2762012
PARMA: A Parallel Randomized Algorithm for Approximate Association Rules Mining in MapReduce
M Riondato, JA DeBrabant, R Fonseca, E Upfal
CIKM 2012, 2012
1682012
Triest: Counting local and global triangles in fully dynamic streams with fixed memory size
LD Stefani, A Epasto, M Riondato, E Upfal
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (4), 1-50, 2017
1562017
Abra: Approximating betweenness centrality in static and dynamic graphs with rademacher averages
M Riondato, E Upfal
ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (5), 1-38, 2018
1392018
Graph Summarization with Quality Guarantees
M Riondato, D Garcıa-Soriano, F Bonchi
ICDM, 2015
1362015
Space-round tradeoffs for MapReduce computations
A Pietracaprina, G Pucci, M Riondato, F Silvestri, E Upfal
Proceedings of the 26th ACM international conference on Supercomputing, 235-244, 2012
812012
Efficient discovery of association rules and frequent itemsets through sampling with tight performance guarantees
M Riondato, E Upfal
ACM Transactions on Knowledge Discovery from Data (TKDD) 8 (4), 1-32, 2014
702014
Mining frequent itemsets through progressive sampling with rademacher averages
M Riondato, E Upfal
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
662015
The Case for Predictive Database Systems: Opportunities and Challenges.
M Akdere, U Cetintemel, M Riondato, E Upfal, SB Zdonik
CIDR 2011, 167-174, 2011
542011
Mining top-K frequent itemsets through progressive sampling
A Pietracaprina, M Riondato, E Upfal, F Vandin
Data Mining and Knowledge Discovery 21, 310-326, 2010
502010
Centrality measures on big graphs: Exact, approximated, and distributed algorithms
F Bonchi, G De Francisci Morales, M Riondato
Proceedings of the 25th international conference companion on world wide web …, 2016
382016
The VC-dimension of SQL queries and selectivity estimation through sampling
M Riondato, M Akdere, U Çetintemel, SB Zdonik, E Upfal
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011
362011
SPuManTE: Significant pattern mining with unconditional testing
L Pellegrina, M Riondato, F Vandin
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
332019
Repbublik: Reducing polarized bubble radius with link insertions
S Haddadan, C Menghini, M Riondato, E Upfal
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
272021
The importance of being expert: Efficient max-finding in crowdsourcing
A Anagnostopoulos, L Becchetti, A Fazzone, I Mele, M Riondato
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
252015
MaNIACS: Approximate Mining of Frequent Subgraph Patterns through Sampling
G Preti, G De Francisci Morales, M Riondato
ACM Transactions on Intelligent Systems and Technology 14 (3), 1-29, 2023
232023
MCRapper: Monte-Carlo Rademacher averages for poset families and approximate pattern mining
L Pellegrina, C Cousins, F Vandin, M Riondato
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (6), 1-29, 2022
232022
Finding the True Frequent Itemsets
M Riondato, F Vandin
arXiv preprint arXiv:1301.1218, 2013
222013
Hypothesis testing and statistically-sound pattern mining
L Pellegrina, M Riondato, F Vandin
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
212019
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