Matteo Riondato
Matteo Riondato
Assistant Professor of Computer Science, Amherst College
Verified email at amherst.edu - Homepage
Title
Cited by
Cited by
Year
Fast approximation of betweenness centrality through sampling
M Riondato, EM Kornaropoulos
Data Mining and Knowledge Discovery 30 (2), 438-475, 2016
2092016
Learning-based query performance modeling and prediction
M Akdere, U Cetintemel, M Riondato, E Upfal, SB Zdonik
2012 IEEE 28th International Conference on Data Engineering, 390-401, 2012
1972012
PARMA: A Parallel Randomized Algorithm for Approximate Association Rules Mining in MapReduce
M Riondato, JA DeBrabant, R Fonseca, E Upfal
CIKM 2012, 2012
1532012
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
1082017
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
932018
Graph Summarization with Quality Guarantees
M Riondato, D Garcıa-Soriano, F Bonchi
ICDM, 2015
772015
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
712012
Efficient discovery of association rules and frequent itemsets through sampling with tight performance guarantees
M Riondato, E Upfal
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
532012
The Case for Predictive Database Systems: Opportunities and Challenges.
M Akdere, U Cetintemel, M Riondato, E Upfal, SB Zdonik
CIDR 2011, 167-174, 2011
462011
Mining frequent itemsets through progressive sampling with Rademacher averages
M Riondato, E Upfal
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
452015
Mining top-K frequent itemsets through progressive sampling
A Pietracaprina, M Riondato, E Upfal, F Vandin
Data Mining and Knowledge Discovery 21 (2), 310-326, 2010
422010
The VC-dimension of SQL queries and selectivity estimation through sampling
M Riondato, M Akdere, U Çetintemel, SB Zdonik, E Upfal
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
312011
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
242016
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
222015
Finding the True Frequent Itemsets
M Riondato, F Vandin
arXiv preprint arXiv:1301.1218, 2013
152013
SPuManTE: Significant pattern mining with unconditional testing
L Pellegrina, M Riondato, F Vandin
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
112019
Prosecco: Progressive sequence mining with convergence guarantees
S Servan-Schreiber, M Riondato, E Zgraggen
Knowledge and Information Systems, 1-28, 2019
82019
MiSoSouP: Mining interesting subgroups with sampling and pseudodimension
M Riondato, F Vandin
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (5), 1-31, 2020
72020
CaDET: interpretable parametric conditional density estimation with decision trees and forests
C Cousins, M Riondato
Machine Learning 108 (8), 1613-1634, 2019
72019
MCRapper: Monte-Carlo Rademacher averages for poset families and approximate pattern mining
L Pellegrina, C Cousins, F Vandin, M Riondato
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
52020
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Articles 1–20