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[1]
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G. Cormode, C. M. Procopiuc, E. Shen, D. Srivastava, and T. Yu.
Empirical privacy and empirical utility of anonymized data.
In Privacy-Preserving Data Publication and Analysis (PrivDB),
2013.
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[2]
|
G. Cormode, K. Mirylenka, T. Palpanas, and D. Srivastava.
Finding interesting correlations with conditional heavy hitters.
In International Conference on Data Engineering (ICDE), 2013.
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[3]
|
G. Cormode, C. M. Procopiuc, D. Srivastava, and G. Yaroslavtsev.
Accurate and efficient private release of datacubes and contingency
tables.
In International Conference on Data Engineering (ICDE), 2013.
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[4]
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G. Cormode and D. Firmani.
On unifying the space of l0-sampling algorithms.
In SIAM Meeting on Algorithm Engineering and Experiments,
2013.
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[5]
|
G. Cormode, J. Thaler, and K. Yi.
Verifying computations with streaming interactive proofs.
In International Conference on Very Large Data Bases (VLDB),
Sept. 2012.
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[6]
|
A. Goyal, H. Daumé III, and G. Cormode.
Sketch algorithms for estimating point queries in NLP.
In EMNLP-CoNLL, pages 1093-1103, 2012.
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[7]
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P. Agarwal, G. Cormode, Z. Huang, J. Phillips, Z. Wei, and K. Yi.
Mergeable summaries.
In ACM Principles of Database Systems (PODS), 2012.
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[8]
|
E. Cohen, G. Cormode, and N. Duffield.
Don't let the negatives bring you down: Sampling from streams of
signed updates.
In ACM Conference on Measurement and Modeling of Computer
Systems (SIGMETRICS), 2012.
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[9]
|
G. Cormode and K. Yi.
Tracking distributed aggregates over time-based sliding windows.
In Scientific and Statistical Database Management (SSDBM),
2012.
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[10]
|
G. Cormode, S. Muthukrishnan, and J. Yan.
Scienceography: the study of how science is written.
In Proceedings of the International Conference on Fun with
Algorithms (FUN), 2012.
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[11]
|
G. Cormode, M. Procopiuc, D. Srivastava, and T. Tran.
Differentially private publication of sparse data.
In International Conference on Database Theory (ICDT), 2012.
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[12]
|
G. Cormode, M. Procopiuc, E. Shen, D. Srivastava, and T. Yu.
Differentially private spatial decompositions.
In International Conference on Data Engineering (ICDE), 2012.
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[13]
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M. Lu, S. Bangalore, G. Cormode, M. Hadjieleftheriou, and D. Srivastava.
A dataset search engine for the research document corpus.
In International Conference on Data Engineering (ICDE), 2012.
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[14]
|
G. Cormode, E. Shen, D. Srivastava, and T. Yu.
Aggregate query answering on possibilistic data with cardinality
constraints.
In International Conference on Data Engineering (ICDE), 2012.
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[15]
|
G. Cormode, M. Mitzenmacher, and J. Thaler.
Practical verified computation with streaming interactive proofs.
In Innovations in Theoretical Computer Science (ITCS), 2012.
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[16]
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P. Agarwal, G. Cormode, Z. Huang, J. Phillips, Z. Wei, and K. Yi.
Mergeable coresets.
In Third Workshop on Massive Data Algorithmics (MASSIVE), 2011.
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[17]
|
G. Cormode.
Personal privacy vs population privacy: Learning to attack
anonymization.
In ACM SIGKDD Conference, 2011.
|
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[18]
|
E. Cohen, G. Cormode, and N. Duffield.
Structure-aware sampling: Flexible and accurate summarization.
In International Conference on Very Large Data Bases (VLDB),
2011.
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[19]
|
G. Cormode and K. Yi.
Tracking distributed aggregates over time-based sliding windows
(brief announcement).
In ACM Principles of Distributed Computing (PODC), 2011.
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[20]
|
E. Cohen, G. Cormode, and N. Duffield.
Structure-aware sampling on data streams.
In ACM Conference on Measurement and Modeling of Computer
Systems (SIGMETRICS), 2011.
|
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[21]
|
G. Cormode, H. Karloff, and T. Wirth.
Set cover algorithms for very large datasets.
In ACM Conference on Information and Knowledge Management
(CIKM), 2010.
|
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[22]
|
G. Cormode, S. Muthukrishnan, K. Yi, and Q. Zhang.
Optimal sampling from distributed streams.
In ACM Principles of Database Systems (PODS), 2010.
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[23]
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S. Bhagat, G. Cormode, B. Krishnamurthy, and D. Srivastava.
Privacy in dynamic social networks.
In World Wide Web Conference (WWW), 2010.
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[24]
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G. Cormode, M. Mitzenmacher, and J. Thaler.
Streaming graph computations with a helpful advisor.
In European Symposium on Algorithms, 2010.
|
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[25]
|
A. Chakrabarti, G. Cormode, R. Kondapally, and A. McGregor.
Information cost tradeoffs for augmented index and streaming language
recognition.
In IEEE Foundations of Computer Science (FOCS), 2010.
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|
[26]
|
G. Cormode, N. Li, T. Li, and D. Srivastava.
Minimizing minimality and maximizing utility: Analyzing method-based
attacks on anonymized data.
In International Conference on Very Large Data Bases (VLDB),
2010.
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[27]
|
S. Bhagat, G. Cormode, B. Krishnamurthy, and D. Srivastava.
Prediction promotes privacy in dynamic social networks.
In Workshop on Online Social Networks (WOSN), 2010.
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[28]
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S. Bhagat, G. Cormode, B. Krishnamurthy, and D. Srivastava.
Class-based graph anonymization for social network data.
In International Conference on Very Large Data Bases (VLDB),
2009.
|
|
[29]
|
G. Cormode, A. Deligiannakis, M. Garofalakis, and A. McGregor.
Probabilistic histograms for probabilistic data.
In International Conference on Very Large Data Bases (VLDB),
2009.
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[30]
|
A. Chakrabarti, G. Cormode, and A. McGregor.
Annotations in data streams.
In International Colloquium on Automata, Languages and
Programming (ICALP), 2009.
|
|
[31]
|
G. Cormode, L. Golab, F. Korn, A. McGregor, D. Srivastava, and X. Zhang.
Estimating the confidence of conditional functional dependencies.
In ACM SIGMOD International Conference on Management of Data
(SIGMOD), 2009.
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[32]
|
R. Berinde, G. Cormode, P. Indyk, and M. Strauss.
Space-optimal heavy hitters with strong error bounds.
In ACM Principles of Database Systems (PODS), 2009.
|
|
[33]
|
G. Cormode, S. Tirthapura, and B. Xu.
Time-decayed correlated aggregates over data streams.
In SIAM Conference on Data Mining (SDM), 2009.
|
|
[34]
|
G. Cormode and M. Garofalakis.
Histograms and wavelets on probabilistic data.
In International Conference on Data Engineering (ICDE), 2009.
Best paper award.
|
|
[35]
|
G. Cormode, F. Li, and K. Yi.
Semantics of ranking queries for probabilistic data and expected
ranks.
In International Conference on Data Engineering (ICDE), 2009.
|
|
[36]
|
G. Cormode, V. Shkapenyuk, D. Srivastava, and B. Xu.
Forward decay: A practical time decay model for streaming systems.
In International Conference on Data Engineering (ICDE), 2009.
|
|
[37]
|
G. Cormode and M. Hadjieleftheriou.
Finding frequent items in data streams.
In International Conference on Very Large Data Bases (VLDB),
2008.
Best paper award.
|
|
[38]
|
G. Cormode, D. Srivastava, T. Yu, and Q. Zhang.
Anonymizing bipartite graph data using safe groupings.
In International Conference on Very Large Data Bases (VLDB),
2008.
|
|
[39]
|
G. Cormode, F. Korn, and S. Tirthapura.
Time-decaying aggregates in out-of-order streams.
In ACM Principles of Database Systems (PODS), 2008.
|
|
[40]
|
G. Cormode and A. McGregor.
Approximation algorithms for clustering uncertain data.
In ACM Principles of Database Systems (PODS), 2008.
|
|
[41]
|
G. Cormode, F. Korn, S. Muthukrishnan, and D. Srivastava.
Summarizing two-dimensional data with skyline-based statistical
descriptors.
In Scientific and Statistical Database Management (SSDBM),
2008.
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[42]
|
A. Chakrabarti, G. Cormode, and A. McGregor.
Robust lower bounds for communication and stream computation.
In ACM Symposium on Theory of Computing (STOC), 2008.
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[43]
|
G. Cormode, F. Korn, S. Muthukrishnan, and Y. Wu.
On signatures for communication graphs.
In International Conference on Data Engineering (ICDE), 2008.
|
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[44]
|
G. Cormode, F. Korn, and S. Tirthapura.
Exponentially decayed aggregates on data streams.
In International Conference on Data Engineering (ICDE), 2008.
|
|
[45]
|
G. Cormode, S. Muthukrishnan, and K. Yi.
Algorithms for distributed, functional monitoring.
In ACM-SIAM Symposium on Discrete Algorithms (SODA),
2008.
|
|
[46]
|
S. Bhagat, G. Cormode, and I. Rozenbaum.
Applying link-based classification to label blogs.
In Joint WEBKDD and SNA-KDD Workshop, 2007.
|
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[47]
|
S. Ganguly and G. Cormode.
On estimating frequency moments of data streams.
In Proceedings of RANDOM, 2007.
|
|
[48]
|
G. Cormode, S. Tirthapura, and B. Xu.
Time-decaying sketches for sensor data aggregation.
In ACM Principles of Distributed Computing (PODC), 2007.
|
|
[49]
|
G. Cormode and M. Garofalakis.
Sketching probabilistic data streams.
In ACM SIGMOD International Conference on Management of Data
(SIGMOD), 2007.
|
|
[50]
|
S. Bhagat, G. Cormode, S. Muthukrishnan, I. Rozenbaum, and H. Xue.
No blog is an island analyzing connections across information
networks.
In International Conference on Weblogs and Social Media, 2007.
|
|
[51]
|
G. Cormode, S. Muthukrishnan, and W. Zhuang.
Conquering the divide: Continuous clustering of distributed data
streams.
In International Conference on Data Engineering (ICDE), 2007.
|
|
[52]
|
A. Chakrabarti, G. Cormode, and A. McGregor.
A near-optimal algorithm for computing the entropy of a stream.
In ACM-SIAM Symposium on Discrete Algorithms (SODA),
2007.
|
|
[53]
|
G. Cormode and S. Muthukrishnan.
Combinatorial algorithms for compressed sensing.
In SIROCCO, 2006.
|
|
[54]
|
G. Cormode, F. Korn, S. Muthukrishnan, and D. Srivastava.
Space- and time-efficient deterministic algorithms for biased
quantiles over data streams.
In ACM Principles of Database Systems (PODS), 2006.
|
|
[55]
|
G. Cormode, R. Keralapura, and J. Ramimirtham.
Communication-efficient distributed monitoring of thresholded counts.
In ACM SIGMOD International Conference on Management of Data
(SIGMOD), 2006.
|
|
[56]
|
G. Cormode, M. Garofalakis, and D. Sacharidis.
Fast approximate wavelet tracking on streams.
In Extending Database Technology, pages 4-22, 2006.
|
|
[57]
|
G. Cormode, S. Muthukrishnan, and W. Zhuang.
What's different: Distributed, continuous monitoring of
duplicate-resilient aggregates on data streams.
In International Conference on Data Engineering (ICDE), pages
20-31, 2006.
|
|
[58]
|
G. Cormode, S. Muthukrishnan, and I. Rozenbaum.
Summarizing and mining inverse distributions on data streams via
dynamic inverse sampling.
In International Conference on Very Large Data Bases (VLDB),
pages 25-36, 2005.
|
|
[59]
|
G. Cormode and M. Garofalakis.
Sketching streams through the net: Distributed approximate query
tracking.
In International Conference on Very Large Data Bases (VLDB),
pages 13-24, 2005.
|
|
[60]
|
G. Cormode and S. Muthukrishnan.
Space efficient mining of multigraph streams.
In ACM Principles of Database Systems (PODS), pages
271-282, 2005.
|
|
[61]
|
G. Cormode, M. Garofalakis, S. Muthukrishnan, and R. Rastogi.
Holistic aggregates in a networked world: Distributed tracking of
approximate quantiles.
In ACM SIGMOD International Conference on Management of Data
(SIGMOD), pages 25-36, 2005.
|
|
[62]
|
G. Cormode and S. Muthukrishnan.
Summarizing and mining skewed data streams.
In SIAM Conference on Data Mining (SDM), 2005.
|
|
[63]
|
G. Cormode, F. Korn, S. Muthukrishnan, and D. Srivastava.
Effective computation of biased quantiles over data streams.
In International Conference on Data Engineering (ICDE), pages
20-31, 2005.
|
|
[64]
|
G. Cormode and S. Muthukrishnan.
Substring compression problems.
In ACM-SIAM Symposium on Discrete Algorithms (SODA),
pages 321-330, 2005.
|
|
[65]
|
G. Cormode, F. Korn, S. Muthukrishnan, and D. Srivastava.
Diamond in the rough: Finding hierarchical heavy hitters in
multi-dimensional data.
In ACM SIGMOD International Conference on Management of Data
(SIGMOD), pages 155-166, 2004.
|
|
[66]
|
G. Cormode, F. Korn, S. Muthukrishnan, T. Johnson, O. Spatscheck, and
D. Srivastava.
Holistic UDAFs at streaming speeds.
In ACM SIGMOD International Conference on Management of Data
(SIGMOD), pages 35-46, 2004.
|
|
[67]
|
G. Cormode.
The hardness of the lemmings game, or Oh no, more NP-completeness
proofs.
In Proceedings of Third International Conference on Fun with
Algorithms, pages 65-76, 2004.
|
|
[68]
|
G. Cormode, A. Czumaj, and S. Muthukrishnan.
How to increase the acceptance ratios of top conferences.
In Proceedings of Third International Conference on Fun with
Algorithms, pages 262-273, 2004.
|
|
[69]
|
G. Cormode and S. Muthukrishnan.
What's new: Finding significant differences in network data streams.
In Proceedings of IEEE Infocom, pages 1534-1545, 2004.
|
|
[70]
|
G. Cormode and S. Muthukrishnan.
An improved data stream summary: The count-min sketch and its
applications.
In Proceedings of Latin American Theoretical Informatics
(LATIN), pages 29-38, 2004.
|
|
[71]
|
G. Cormode.
Stable distributions for stream computations: it's as easy as 0,1,2.
In Workshop on Management and Processing of Massive Data Streams
at FCRC, 2003.
|
|
[72]
|
G. Cormode and S. Muthukrishnan.
What's hot and what's not: Tracking most frequent items dynamically.
In ACM Principles of Database Systems (PODS), pages
296-306, 2003.
|
|
[73]
|
G. Cormode, F. Korn, S. Muthukrishnan, and D. Srivastava.
Finding hierarchical heavy hitters in data streams.
In International Conference on Very Large Data Bases (VLDB),
pages 464-475, 2003.
|
|
[74]
|
G. Cormode and S. Muthukrishnan.
Estimating dominance norms of multiple data streams.
In European Symposium on Algorithms, volume 2838 of LNCS,
2003.
|
|
[75]
|
G. Cormode, M. Datar, P. Indyk, and S. Muthukrishnan.
Comparing data streams using Hamming norms.
In International Conference on Very Large Data Bases (VLDB),
pages 335-345, 2002.
|
|
[76]
|
G. Cormode, P. Indyk, N. Koudas, and S. Muthukrishnan.
Fast mining of tabular data via approximate distance computations.
In International Conference on Data Engineering (ICDE), pages
605-616, 2002.
|
|
[77]
|
G. Cormode and S. Muthukrishnan.
The string edit distance matching problem with moves.
In ACM-SIAM Symposium on Discrete Algorithms (SODA),
pages 667-676, 2002.
|
|
[78]
|
G. Cormode, S. Muthukrishnan, and S. C. Sahinalp.
Permutation editing and matching via embeddings.
In International Colloquium on Automata, Languages and
Programming (ICALP), volume 2076, pages 481-492, 2001.
|
|
[79]
|
G. Cormode, M. Paterson, S. C. Sahinalp, and U. Vishkin.
Communication complexity of document exchange.
In ACM-SIAM Symposium on Discrete Algorithms (SODA),
pages 197-206, 2000.
|
|
[80]
|
G. Ozsoyoglu, N. H. Balkir, G. Cormode, and Z. M. Ozsoyoglu.
Electronic books in digital libraries.
In Proceedings of IEEE Advances in Digital Libraries (ADL),
pages 5-14, 2000.
|
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[1]
|
G. Cormode, S. Muthukrishnan, K. Yi, and Q. Zhang.
Continuous sampling from distributed streams.
Journal of the ACM (JACM), 59(2), Apr. 2012.
|
|
[2]
|
G. Cormode, M. Mitzenmacher, and J. Thaler.
Streaming graph computations with a helpful advisor.
Algorithmica, 2012.
|
|
[3]
|
G. Cormode and S. Muthukrishnan.
Approximating data with the count-min data structure.
IEEE Software, 2012.
|
|
[4]
|
G. Cormode, S. Muthukrishnan, and K. Yi.
Algorithms for distributed functional monitoring.
ACM Transactions on Algorithms, 7(2):1-21, 2011.
|
|
[5]
|
G. Cormode, J. Jestes, F. Li, and K. Yi.
Semantics of ranking queries for probabilistic data.
IEEE Transactions on Knowledge and Data Engineering,
23(12):1903-1917, 2011.
|
|
[6]
|
G. Cormode, B. Krishnamurthy, and W. Willinger.
A manifesto for modeling and measurement in social media.
First Monday, 15(9), Sept. 2010.
|
|
[7]
|
G. Cormode and M. Garofalakis.
Histograms and wavelets on probabilistic data.
IEEE Transactions on Knowledge and Data Engineering,
22(8):1142-1157, Aug. 2010.
|
|
[8]
|
A. Chakrabarti, G. Cormode, and A. McGregor.
A near-optimal algorithm for computing the entropy of a stream.
ACM Transactions on Algorithms, 6(3), 2010.
|
|
[9]
|
R. Berinde, G. Cormode, P. Indyk, and M. Strauss.
Space-optimal heavy hitters with strong error bounds.
ACM Transactions on Database Systems, 35(4), 2010.
|
|
[10]
|
G. Cormode, D. Srivastava, T. Yu, and Q. Zhang.
Anonymizing bipartite graph data using safe groupings.
The VLDB Journal, 19(1):115-139, 2010.
|
|
[11]
|
G. Cormode and M. Hadjieleftheriou.
Methods for finding frequent items in data streams.
The VLDB Journal, 19(1):3-20, 2010.
|
|
[12]
|
G. Cormode, S. Tirthapura, and B. Xu.
Time-decaying sketches for robust aggregation of sensor data.
SIAM Journal on Computing (SICOMP), 39(4):1309-1339, 2009.
|
|
[13]
|
G. Cormode, S. Tirthapura, and B. Xu.
Time-decayed correlated aggregates over data streams.
Statistical Analysis and Data Mining, 2(5-6):294-310, 2009.
|
|
[14]
|
K. Yi, F. Li, G. Cormode, M. Hadjieleftheriou, G. Kollios, and D. Srivastava.
Small synopses for group-by query verification on outsourced data
streams.
ACM Transactions on Database Systems, 34(3), 2009.
|
|
[15]
|
G. Cormode and M. Hadjieleftheriou.
Finding the frequent items in streams of data.
Communications of the ACM (CACM), 52(10):97-105, 2009.
|
|
[16]
|
G. Cormode.
How not to review a paper: The tools and techniques of the
adversarial reviewer.
SIGMOD Record, 37(4):100-104, Dec. 2008.
|
|
[17]
|
G. Cormode and B. Krishnamurthy.
Key differences between web 1.0 and web 2.0.
First Monday, 13(6), June 2008.
|
|
[18]
|
G. Cormode and M. Garofalakis.
Approximate continuous querying over distributed streams.
ACM Transactions on Database Systems, 33(2), June 2008.
|
|
[19]
|
G. Cormode, F. Korn, S. Muthukrishnan, and D. Srivastava.
Finding hierarchical heavy hitters in streaming data.
ACM Transactions on Knowledge Discovery from Data (TKDD),
1(4), Jan. 2008.
|
|
[20]
|
G. Cormode and S. Muthukrishnan.
The string edit distance matching problem with moves.
ACM Transactions on Algorithms, 3(1), 2007.
|
|
[21]
|
G. Cormode and S. Muthukrishnan.
What's new: Finding significant differences in network data streams.
Transactions on Networking, 13(6):1219-1232, December 2005.
|
|
[22]
|
G. Cormode and S. Muthukrishnan.
An improved data stream summary: The count-min sketch and its
applications.
Journal of Algorithms, 55(1):58-75, April 2005.
|
|
[23]
|
G. Cormode and S. Muthukrishnan.
What's hot and what's not: Tracking most frequent items dynamically.
ACM Transactions on Database Systems, 30(1):249-278, March
2005.
|
|
[24]
|
G. Cormode.
Representations of the research student in popular culture.
Annals of Improbable Research, 10(1):26-27, 2004.
|
|
[25]
|
G. Ozsoyoglu, N. H. Balkir, G. Cormode, and Z. M. Ozsoyoglu.
Electronic books in digital libraries.
IEEE Transactions on Knowledge and Data Engineering,
16(3):317-331, 2004.
|
|
[26]
|
G. Cormode, M. Datar, P. Indyk, and S. Muthukrishnan.
Comparing data streams using Hamming norms.
IEEE Transactions on Knowledge and Data Engineering,
15(3):529-541, 2003.
|
|
[1]
|
G. Cormode.
Continuous distributed monitoring: A short survey.
In Paper accompanying invited talk at Algorithms and Models for
Distributed Event Processing (AlMoDEP). ACM, Sept. 2011.
|
|
[2]
|
G. Cormode.
Sketch techniques for massive data.
In G. Cormode, M. Garofalakis, P. Haas, and C. Jermaine, editors,
Synposes for Massive Data: Samples, Histograms, Wavelets and Sketches,
Foundations and Trends in Databases. NOW publishers, 2011.
|
|
[3]
|
S. Bhagat, G. Cormode, and S. Muthukrishnan.
Node classification in social networks.
In C. C. Aggarwal, editor, Social Network Data Analytics.
Springer, 2011.
|
|
[4]
|
G. Cormode, J. Thaler, and K. Yi.
Verifying computations with streaming interactive proofs.
Technical Report TR10-159, Electronic Colloquium on Computational
Complexity (ECCC), 2010.
|
|
[5]
|
G. Cormode.
Individual privacy vs population privacy: Learning to attack
anonymization.
Technical Report arXiv:1011.2511, arXiv, 2010.
|
|
[6]
|
G. Cormode.
Encyclopedia entry on 'Count-Min Sketch'.
In L. Liu and M. T. Ozsu, editors, Encyclopedia of Database
Systems, pages 511-516. Springer, 2009.
|
|
[7]
|
G. Cormode and M. Garofalakis.
Histograms and wavelets on probabilistic data.
Technical Report arXiv:0806.1071, arXiv, 2008.
|
|
[8]
|
G. Cormode, F. Korn, and S. Tirthapura.
Time decaying aggregates in out-of-order streams.
Technical Report 2007-10, Center for Discrete Mathematics and
Computer Science (DIMACS), 2007.
|
|
[9]
|
G. Cormode.
Computational fundamentals of analyzing and mining data streams.
In Workshop on Data Stream Analysis. 2007.
|
|
[10]
|
G. Cormode and S. Muthukrishnan.
Combinatorial algorithms for compressed sensing.
In Proceedings of Conference on Information Sciences and Systems
(CISS). 2006.
Invited submission.
|
|
[11]
|
G. Cormode.
Some key concepts in data mining - clustering.
In Discrete Methods in Epidemiology, volume 70 of DIMACS,
pages 2-9. AMS, 2006.
|
|
[12]
|
G. Cormode and M. Garofalakis.
Join sizes, frequency moments, and applications.
In M. Garofalakis, J. Gehrke, and R. Rastogi, editors, Data
Stream Management: Processing High-Speed Data Streams. Springer, 2006.
|
|
[13]
|
G. Cormode and P. Indyk.
Stable distributions in streaming computations.
In M. Garofalakis, J. Gehrke, and R. Rastogi, editors, Data
Stream Management: Processing High-Speed Data Streams. Springer, 2006.
(The book containing this chapter has yet to be published).
|
|
[14]
|
G. Cormode and M. Garofalakis.
Efficient strategies for continuous distributed tracking tasks.
In IEEE Data Engineering Bulletin, pages 33-39. IEEE, March
2005.
|
|
[15]
|
G. Cormode and S. Muthukrishnan.
Combinatorial algorithms for compressed sensing.
Technical Report 2005-40, Center for Discrete Mathematics and
Computer Science (DIMACS), 2005.
|
|
[16]
|
G. Cormode and S. Muthukrishnan.
Towards an algorithmic theory of compressed sensing.
Technical Report 2005-25, Center for Discrete Mathematics and
Computer Science (DIMACS), 2005.
|
|
[17]
|
G. Cormode, S. Muthukrishnan, and I. Rozenbaum.
Summarizing and mining inverse distributions on data streams via
dynamic inverse sampling.
Technical Report 2005-11, Center for Discrete Mathematics and
Computer Science (DIMACS), 2005.
|
|
[18]
|
G. Cormode.
The hardness of the lemmings game, or, “Oh no, more
NP-Completeness proofs”.
Technical Report 2004-11, Center for Discrete Mathematics and
Computer Science (DIMACS), 2004.
|
|
[19]
|
J. Abello and G. Cormode.
Report on DIMACS working group meeting: Data mining and
epidemiology, March 18-19, 2004.
Technical Report 2004-37, Center for Discrete Mathematics and
Computer Science (DIMACS), 2004.
|
|
[20]
|
G. Cormode, A. Czumaj, and S. Muthukrishnan.
How to increase the acceptance ratios of top conferences.
Technical Report 2004-12, Center for Discrete Mathematics and
Computer Science (DIMACS), 2004.
|
|
[21]
|
G. Cormode and S. Muthukrishnan.
Radial histograms for spatial streams.
Technical Report 2003-11, Center for Discrete Mathematics and
Computer Science (DIMACS), 2003.
|
|
[22]
|
G. Cormode and S. Muthukrishnan.
Estimating dominance norms of multiple data streams.
Technical Report 2002-35, Center for Discrete Mathematics and
Computer Science (DIMACS), 2002.
|
|
[23]
|
G. Cormode and S. Muthukrishnan.
The string edit distance matching problem with moves.
Technical Report 2001-26, Center for Discrete Mathematics and
Computer Science (DIMACS), 2001.
|
|
[24]
|
G. Cormode.
Topic dependencies for electronic books.
(unpublished manuscript), 1999.
|
|
[25]
|
G. Cormode.
Springs and sound layouts.
(unpublished manuscript), 1998.
|
|
[1]
|
Data-driven concerns in private data release, Sept. 2012.
Talk at Stevens Institute of Technology; AT&T Labs; UMass Amherst;
Rutgers University-Newark; Bell Labs.
|
|
[2]
|
Small summaries for big data, 2012.
Talk at Duke ARO workshop on Big Data at Large; MSR Cambridge.
|
|
[3]
|
Continuous distributed monitoring: A short survey, Sept. 2011.
Invited talk at Algorithms and Models for Distributed Event
Processing (AlMoDEP).
|
|
[4]
|
Some sketchy results, May 2011.
Talk at DIMACS Workshop on Algorithms in the Field (8F).
|
|
[5]
|
Mergeable summaries, Apr. 2011.
Talk at Harvard University; DIMACS; Johns Hopkins; University of
Pennsylvania; AT&T Labs; Warwick University.
|
|
[6]
|
Data anonymization, Mar. 2011.
Guest lecture in 'Dealing with Massive Data' at Columbia University.
|
|
[7]
|
Distributed summaries, 2011.
Talk at DIMACS workshop on Parallelism: a 2020 vision.
|
|
[8]
|
G. Cormode and D. Srivastava.
Anonymized data: Generation, models, usage, Mar. 2010.
Tutorial at ICDE 2010.
|
|
[9]
|
Sipping from the firehose: Streaming interactive proofs for verifying
computations, February 2010.
Talk at Bristol Algorithms Days 2010; Maryland.
|
|
[10]
|
Progress in data anonymization: from k-anonymity to the minimality attack,
February 2010.
Talk in Bristol.
|
|
[11]
|
Anonymization and uncertainty in social network data, Oct. 2009.
Talk at DBIR Day 2009 at NYU Poly.
|
|
[12]
|
G. Cormode and D. Srivastava.
Anonymized data: Generation, models, usage, July 2009.
Tutorial at SIGMOD 2009.
|
|
[13]
|
Processing graph streams: Upper and lower bounds, June 2009.
Talk at Workshop on Algorithms and Models for Complex Networks,
Bristol UK.
|
|
[14]
|
Finding frequent items in data streams, March 2009.
Talk at DIMACS Working group on Streaming, Coding and Compressive
Sensing; AT&T Labs; UMass Amherst; Dartmouth College.
|
|
[15]
|
On 'selection and sorting with limited storage', Sept. 2008.
Talk at Mike66 Workshop celebrating Mike Paterson.
|
|
[16]
|
Algorithms for distributed functional monitoring, Aug. 2008.
Talk at Dagstuhl Seminar on Sublinear Algorithms.
|
|
[17]
|
Data stream algorithms, July 2008.
Tutorial at Bristol Summer School on Probabilistic Techniques in
Computer Science.
|
|
[18]
|
G. Cormode and M. Garofalakis.
Streaming in a connected world: Querying and tracking distributed
data streams, March 2008.
Tutorial at VLDB 2006, SIGMOD 2007, EDBT 2008.
|
|
[19]
|
Analyzing web 2.0, blogs and social networks, Dec. 2007.
Talk at AT&T Labs.
|
|
[20]
|
Computational fundamentals of analyzing and mining data streams, March 2007.
Tutorial at Workshop on Data Stream Analysis, Caserta, Italy.
|
|
[21]
|
Computing the entropy of a stream, December 2006.
AT&T Labs; Bell Labs; DyDAn Center.
|
|
[22]
|
A compact survey of compressed sensing, December 2006.
Workshop on Algorithms for Data Streams, IIT Kanpur, India.
|
|
[23]
|
Biased quantiles, June 2006.
Bertinoro.
|
|
[24]
|
Cluster and data stream analysis, March 2006.
Tutorial at DIMACS Workshop on Data Mining and Epidemiology.
|
|
[25]
|
Tracking inverse distributions of massive data streams, July 2005.
Network Sampling Workshop in Paris, Bell Labs Research Seminar.
|
|
[26]
|
Towards an algorithmic theory of compressed sensing, July 2005.
Schloss Dagstuhl.
|
|
[27]
|
Summarizing and mining skewed data streams, May 2005.
NJIT.
|
|
[28]
|
Algorithms for processing massive data at network line speed, March 2004.
Talk at U. Iowa; U. Minnesota; Dartmouth; Google; AT&T; CWRU; Poly.
|
|
[29]
|
How hard are computer games?, February 2004.
Talk at DIMACS.
|
|
[30]
|
What's hot, what's not, what's new and what's next, October 2003.
Bell Labs; DIMACS Mixer at AT&T Labs.
|
|
[31]
|
Zeroing in on the l0 metric, August 2003.
DIMACS Workshop on Discrete Metric Spaces and their Algorithmic
Applications at Princeton.
|
|
[32]
|
Tracking frequent items dynamically, 2003.
Institute of Advanced Studies; DIMACS; Stonybroo; U. Pennsylvania.
|
|
[33]
|
Algorithmic embeddings for comparing large text streams, June 2002.
CCR/DIMACS Workshop/Tutorial on Mining Massive Data Sets and Streams:
Mathematical Methods and Algorithms for Homeland Defense.
|
|
[34]
|
Embeddings of metrics on strings and permuations, March 2002.
Workshop on Discrete Metric Spaces and their Algorithmic Applications
in Haifa, Israel; BCTCS.
|
|
[35]
|
Short string signatures, September 2000.
DIMACS Workshop on Sublinear Algorithms in Princeton, NJ.
|
|
[36]
|
Sketches: Past, present and future.
Invited Panel on Sketching and Streaming at SAMSI Workshop, 2012.
|