Learning-based Query Performance Modeling and Prediction Mert Akdere, Uˇgur C¸etintemel, Matteo Riondato, Eli Upfal, Stanley B. Zdonik Brown University, Providence, RI, USA {makdere,ugur,matteo,eli,sbz}@cs.brown.edu

Source URL: matteo.rionda.to

Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic Lorenzo De Stefani, Alessandro Epasto, Eli Upfal Fabio Vandin

Source URL: www.epasto.org

• Permutations
• Mathematics
• Randomness
• Monte Carlo methods
• Permutation
• Mathematical analysis
• Random permutation
• Resampling
• Permutation pattern
• Skew and direct sums of permutations

Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic Lorenzo De Stefani, Alessandro Epasto, Eli Upfal Fabio Vandin

Source URL: www.epasto.org

• Mathematics
• Permutations
• Permutation
• Random permutation
• Resampling
• Inversion
• Permutation pattern
• Skew and direct sums of permutations

Wiggins: Detecting Valuable Information in Dynamic Networks Using Limited Resources Ahmad Mahmoody∗, Matteo Riondato†, Eli Upfal* {ahmad,eli}@cs.brown.edu, March 2, 2016 “Have you found it, Wigg

Source URL: matteo.rionda.to

• Interpolation
• Polynomials
• Operations research
• Dynamic programming
• Lebesgue constant

Abstract of “Sampling-based Randomized Algorithms for Big Data Analytics” by Matteo Riondato, Ph.D., Brown University, MayAnalyzing huge datasets becomes prohibitively slow when the dataset does not fit in mai

Source URL: matteo.rionda.to

• Network theory
• Mathematics
• Graph theory
• Discrete mathematics
• Networks
• Network analysis
• Betweenness centrality
• Centrality
• Association rule learning
• Eli Upfal
• Shortest path problem

XX ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rademacher Averages MATTEO RIONDATO, Two Sigma Investments, LP ELI UPFAL, Brown University

Source URL: matteo.rionda.to

• Network theory
• Graph theory
• Graph connectivity
• Networks
• Edsger W. Dijkstra
• Centrality
• Betweenness centrality
• Shortest path problem
• Randomized algorithm
• Connected component
• Line graph

PARMA: A Parallel Randomized Algorithm for Approximate Association Rules Mining in MapReduce Matteo Riondato, Justin A. DeBrabant, Rodrigo Fonseca, and Eli Upfal Dept. of Computer Science, Brown University Providence, RI

Source URL: matteo.rionda.to

• Data mining
• Parallel computing
• Distributed computing architecture
• Association rule learning
• Data management
• MapReduce
• RANSAC
• Apache Hadoop
• Algorithm

The Case for Predictive Database Systems: Opportunities and Challenges Mert Akdere, Ugur Cetintemel, Matteo Riondato, Eli Upfal, Stan Zdonik Department of Computer Science Brown University, Providence, RI, USA

Source URL: matteo.rionda.to

• Database management systems
• Business intelligence
• Statistical models
• Machine learning
• SQL
• Predictive analytics
• Oracle Data Mining
• Predictive modelling
• Cross-validation
• Prediction
• Database
• Query plan

Errata II: Second Printing of Mitzenmacher/Upfal Probability and Computing Michael Mitzenmacher and Eli Upfal October 30, 2014 The following errors were found after the posting the first errata, and

Source URL: www.eecs.harvard.edu

• Generalized functions
• Markov processes
• Markov chain
• Fourier analysis

Errata: First Printing of Mitzenmacher/Upfal Probability and Computing Michael Mitzenmacher and Eli Upfal October 10, 2006 We would like to thank the many of you who have bought our book, and we would especially like to

Source URL: www.eecs.harvard.edu

• Diophantine approximation
• Differential equations