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Graham Cormode

Publications

  • AMS Sketch
  • Misra-Gries Summaries
  • Continuous sampling from distributed streams
  • A second look at counting triangles in graph streams (corrected)
  • What does an associate editor actually do?
  • Parameterized Streaming: Maximal Matching and Vertex Cover
  • On the Tradeoff between Stability and Fit
  • PrivBayes
  • L p Samplers and Their Applications
  • A second look at counting triangles in graph streams
  • An evaluation of multi-probe locality sensitive hashing for computing similarities over web-scale query logs
  • AMS Sketch
  • The continuous distributed monitoring model
  • Count-Min Sketch
  • Misra-Gries Summaries
  • Count-Min Sketch
  • Data sketching
  • Approximating Data with the Count-Min Sketch
  • Differentially Private Spatial Decompositions
  • Studying the source code of scientific research
  • Streaming Methods in Data Analysis
  • First author advantage
  • Join Sizes, Frequency Moments, and Applications
  • Stable Distributions in Streaming Computations
  • A Dataset Search Engine for the Research Document Corpus
  • UMicS
  • Corrigendum to “A second look at counting triangles in graph streams” [Theoret. Comput. Sci. 552 (2014) 44–51]
  • People like us
  • Modeling collaboration in academia
  • Quantiles over data streams
  • Mergeable summaries
  • Summary Data Structures for Massive Data
  • DPT
  • Sampling for big data
  • Socializing the h-index
  • Conservative or liberal? Personalized differential privacy
  • Aggregate Query Answering on Possibilistic Data with Cardinality Constraints
  • Information Cost Tradeoffs for Augmented Index and Streaming Language Recognition
  • Lightweight authentication of linear algebraic queries on data streams
  • Annotations for Sparse Data Streams
  • On Unifying the Space of ℓ0-Sampling Algorithms
  • Don't let the negatives bring you down
  • A unifying framework for ℓ 0-sampling algorithms
  • Privacy at Scale
  • Mergeable summaries
  • Conditional heavy hitters: detecting interesting correlations in data streams
  • Don't let the negatives bring you down
  • Accurate and efficient private release of datacubes and contingency tables
  • Empirical privacy and empirical utility of anonymized data
  • Correlation Clustering in Data Streams
  • Exponentially Decayed Aggregates on Data Streams
  • Histograms and Wavelets on Probabilistic Data
  • Finding frequent items in data streams
  • Streaming in a connected world
  • Algorithms for Next Generation Networks
  • Key differences between Web 1.0 and Web 2.0
  • Approximate continuous querying over distributed streams
  • On Signatures for Communication Graphs
  • Verifying computations with streaming interactive proofs
  • Conquering the Divide: Continuous Clustering of Distributed Data Streams
  • Anonymized Data: Generation, models, usage
  • Semantics of Ranking Queries for Probabilistic Data and Expected Ranks
  • How NOT to review a paper
  • Privacy in dynamic social networks
  • The string edit distance matching problem with moves
  • Structure-aware sampling on data streams
  • Streaming Graph Computations with a Helpful Advisor
  • Algorithms for distributed functional monitoring
  • Finding the frequent items in streams of data
  • Discrete Methods in Epidemiology
  • Time-decayed correlated aggregates over data streams
  • Selected data mining concepts
  • Streaming in a connected world
  • Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches
  • Semantics of Ranking Queries for Probabilistic Data
  • Optimal sampling from distributed streams
  • Methods for finding frequent items in data streams
  • Space-optimal heavy hitters with strong error bounds
  • Estimating the confidence of conditional functional dependencies
  • Probabilistic histograms for probabilistic data
  • Anonymized data
  • Continuous distributed monitoring
  • A manifesto for modeling and measurement in social media
  • Practical verified computation with streaming interactive proofs
  • Annotations in Data Streams
  • Anonymizing bipartite graph data using safe groupings
  • Time-Decayed Correlated Aggregates over Data Streams
  • Approximation algorithms for clustering uncertain data
  • Set cover algorithms for very large datasets
  • Forward Decay: A Practical Time Decay Model for Streaming Systems
  • Personal privacy vs population privacy
  • Anonymizing bipartite graph data using safe groupings
  • Finding hierarchical heavy hitters in streaming data
  • Small synopses for group-by query verification on outsourced data streams
  • Class-based graph anonymization for social network data
  • Minimizing minimality and maximizing utility
  • A near-optimal algorithm for estimating the entropy of a stream
  • Streaming Graph Computations with a Helpful Advisor
  • Information Cost Tradeoffs for Augmented Index and Streaming Language Recognition
  • Semantics of Ranking Queries for Probabilistic Data
  • Edit Distance Under Block Operations, 2000; Cormode, Paterson, Sahinalp, Vishkin 2000; Muthukrishnan, Sahinalp
  • Combinatorial Algorithms for Compressed Sensing
  • The string edit distance matching problem with moves
  • Combinatorial Algorithms for Compressed Sensing
  • Time-decaying sketches for sensor data aggregation
  • Finding Hierarchical Heavy Hitters in Data Streams
  • Sketching probabilistic data streams
  • Fast Approximate Wavelet Tracking on Streams
  • What's hot and what's not
  • Holistic aggregates in a networked world
  • What's hot and what's not: tracking most frequent items dynamically
  • Comparing Data Streams Using Hamming Norms (How to Zero In)
  • Holistic UDAFs at streaming speeds
  • Summarizing and Mining Skewed Data Streams
  • An improved data stream summary: the count-min sketch and its applications
  • What's new: Finding significant differences in network data streams
  • Communication-efficient distributed monitoring of thresholded counts
  • Space- and time-efficient deterministic algorithms for biased quantiles over data streams
  • Estimating Dominance Norms of Multiple Data Streams
  • An Improved Data Stream Summary: The Count-Min Sketch and Its Applications
  • What's new: finding significant differences in network data streams
  • Comparing data streams using hamming norms (how to zero in)
  • Applications of Sketching and Pathways to Impact
  • PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy
  • Relative Error Streaming Quantiles
  • Interactive Proofs For Differentially Private Counting
  • Federated computation: a survey of concepts and challenges

Graham Cormode's public data