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
1892016
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
1802012
PARMA: A Parallel Randomized Algorithm for Approximate Association Rules Mining in MapReduce
M Riondato, JA DeBrabant, R Fonseca, E Upfal
CIKM 2012, 2012
1482012
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
942017
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
792018
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
682012
Graph Summarization with Quality Guarantees
M Riondato, D Garcıa-Soriano, F Bonchi
ICDM, 2015
662015
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
482012
The Case for Predictive Database Systems: Opportunities and Challenges.
M Akdere, U Cetintemel, M Riondato, E Upfal, SB Zdonik
CIDR 2011, 167-174, 2011
422011
Mining frequent itemsets through progressive sampling with Rademacher averages
M Riondato, E Upfal
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
392015
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
392010
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
252011
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
232015
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
172016
Finding the True Frequent Itemsets
M Riondato, F Vandin
arXiv preprint arXiv:1301.1218, 2013
132013
SPuManTE: Significant Pattern Mining with Unconditional Testing
L Pellegrina, M Riondato, F Vandin
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
82019
ProSecCo: Progressive sequence mining with convergence guarantees
S Servan-Schreiber, M Riondato, E Zgraggen
Knowledge and Information Systems, 1-28, 2019
72019
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
62020
Wiggins: Detecting Valuable Information in Dynamic Networks Using Limited Resources
A Mahmoody, M Riondato, E Upfal
Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016
52016
Sampling-based data mining algorithms: modern techniques and case studies
M Riondato
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
52014
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