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Graham Cormode: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Gultekin Özsoyoglu, Nevzat Hurkan Balkir, Graham Cormode, Z. Meral Özsoyoglu
    Electronic Books in Digital Libraries. [Citation Graph (0, 0)][DBLP]
    ADL, 2000, pp:5-14 [Conf]
  2. Graham Cormode, Minos N. Garofalakis, Dimitris Sacharidis
    Fast Approximate Wavelet Tracking on Streams. [Citation Graph (0, 0)][DBLP]
    EDBT, 2006, pp:4-22 [Conf]
  3. Graham Cormode, S. Muthukrishnan
    Estimating Dominance Norms of Multiple Data Streams. [Citation Graph (0, 0)][DBLP]
    ESA, 2003, pp:148-160 [Conf]
  4. Graham Cormode, S. Muthukrishnan, Süleyman Cenk Sahinalp
    Permutation Editing and Matching via Embeddings. [Citation Graph (0, 0)][DBLP]
    ICALP, 2001, pp:481-492 [Conf]
  5. Graham Cormode, Piotr Indyk, Nick Koudas, S. Muthukrishnan
    Fast Mining of Massive Tabular Data via Approximate Distance Computations. [Citation Graph (0, 0)][DBLP]
    ICDE, 2002, pp:605-0 [Conf]
  6. Graham Cormode, Flip Korn, S. Muthukrishnan, Divesh Srivastava
    Effective Computation of Biased Quantiles over Data Streams. [Citation Graph (0, 0)][DBLP]
    ICDE, 2005, pp:20-31 [Conf]
  7. Graham Cormode, S. Muthukrishnan, Wei Zhuang
    What's Different: Distributed, Continuous Monitoring of Duplicate-Resilient Aggregates on Data Streams. [Citation Graph (0, 0)][DBLP]
    ICDE, 2006, pp:57- [Conf]
  8. Graham Cormode, S. Muthukrishnan
    What's New: Finding Significant Differences in Network Data Streams. [Citation Graph (0, 0)][DBLP]
    INFOCOM, 2004, pp:- [Conf]
  9. Graham Cormode, S. Muthukrishnan
    An Improved Data Stream Summary: The Count-Min Sketch and Its Applications. [Citation Graph (0, 0)][DBLP]
    LATIN, 2004, pp:29-38 [Conf]
  10. Graham Cormode, Flip Korn, S. Muthukrishnan, Divesh Srivastava
    Space- and time-efficient deterministic algorithms for biased quantiles over data streams. [Citation Graph (0, 0)][DBLP]
    PODS, 2006, pp:263-272 [Conf]
  11. Graham Cormode, S. Muthukrishnan
    What's hot and what's not: tracking most frequent items dynamically. [Citation Graph (0, 0)][DBLP]
    PODS, 2003, pp:296-306 [Conf]
  12. Graham Cormode, S. Muthukrishnan
    Space efficient mining of multigraph streams. [Citation Graph (0, 0)][DBLP]
    PODS, 2005, pp:271-282 [Conf]
  13. Graham Cormode, S. Muthukrishnan
    Summarizing and Mining Skewed Data Streams. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  14. Graham Cormode, Minos N. Garofalakis, S. Muthukrishnan, Rajeev Rastogi
    Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2005, pp:25-36 [Conf]
  15. Graham Cormode, Flip Korn, S. Muthukrishnan, Divesh Srivastava
    Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2004, pp:155-166 [Conf]
  16. Graham Cormode, Theodore Johnson, Flip Korn, S. Muthukrishnan, Oliver Spatscheck, Divesh Srivastava
    Holistic UDAFs at streaming speeds. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2004, pp:35-46 [Conf]
  17. Ram Keralapura, Graham Cormode, Jeyashankher Ramamirtham
    Communication-efficient distributed monitoring of thresholded counts. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2006, pp:289-300 [Conf]
  18. Graham Cormode, S. Muthukrishnan
    Combinatorial Algorithms for Compressed Sensing. [Citation Graph (0, 0)][DBLP]
    SIROCCO, 2006, pp:280-294 [Conf]
  19. Graham Cormode, S. Muthukrishnan
    The string edit distance matching problem with moves. [Citation Graph (0, 0)][DBLP]
    SODA, 2002, pp:667-676 [Conf]
  20. Graham Cormode, S. Muthukrishnan
    Substring compression problems. [Citation Graph (0, 0)][DBLP]
    SODA, 2005, pp:321-330 [Conf]
  21. Graham Cormode, Mike Paterson, Süleyman Cenk Sahinalp, Uzi Vishkin
    Communication complexity of document exchange. [Citation Graph (0, 0)][DBLP]
    SODA, 2000, pp:197-206 [Conf]
  22. Graham Cormode, Mayur Datar, Piotr Indyk, S. Muthukrishnan
    Comparing Data Streams Using Hamming Norms (How to Zero In). [Citation Graph (0, 0)][DBLP]
    VLDB, 2002, pp:335-345 [Conf]
  23. Graham Cormode, Minos N. Garofalakis
    Sketching Streams Through the Net: Distributed Approximate Query Tracking. [Citation Graph (0, 0)][DBLP]
    VLDB, 2005, pp:13-24 [Conf]
  24. Graham Cormode, Minos N. Garofalakis
    Streaming in a Connected World. [Citation Graph (0, 0)][DBLP]
    VLDB, 2006, pp:1266- [Conf]
  25. Graham Cormode, Flip Korn, S. Muthukrishnan, Divesh Srivastava
    Finding Hierarchical Heavy Hitters in Data Streams. [Citation Graph (0, 0)][DBLP]
    VLDB, 2003, pp:464-475 [Conf]
  26. Graham Cormode, S. Muthukrishnan, Irina Rozenbaum
    Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling. [Citation Graph (0, 0)][DBLP]
    VLDB, 2005, pp:25-36 [Conf]
  27. Graham Cormode, Minos N. Garofalakis
    Efficient Strategies for Continuous Distributed Tracking Tasks. [Citation Graph (0, 0)][DBLP]
    IEEE Data Eng. Bull., 2005, v:28, n:1, pp:33-39 [Journal]
  28. Graham Cormode, S. Muthukrishnan
    An improved data stream summary: the count-min sketch and its applications. [Citation Graph (0, 0)][DBLP]
    J. Algorithms, 2005, v:55, n:1, pp:58-75 [Journal]
  29. Graham Cormode, S. Muthukrishnan
    The string edit distance matching problem with moves. [Citation Graph (0, 0)][DBLP]
    ACM Transactions on Algorithms, 2007, v:3, n:1, pp:- [Journal]
  30. Graham Cormode, Mayur Datar, Piotr Indyk, S. Muthukrishnan
    Comparing Data Streams Using Hamming Norms (How to Zero In). [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2003, v:15, n:3, pp:529-540 [Journal]
  31. Gultekin Özsoyoglu, Nevzat Hurkan Balkir, Z. Meral Özsoyoglu, Graham Cormode
    On Automated Lesson Construction from Electronic Textbooks. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2004, v:16, n:3, pp:317-331 [Journal]
  32. Graham Cormode, S. Muthukrishnan
    What's hot and what's not: tracking most frequent items dynamically. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Database Syst., 2005, v:30, n:1, pp:249-278 [Journal]
  33. Graham Cormode, S. Muthukrishnan
    What's new: finding significant differences in network data streams. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Netw., 2005, v:13, n:6, pp:1219-1232 [Journal]
  34. Sumit Ganguly, Graham Cormode
    On Estimating Frequency Moments of Data Streams. [Citation Graph (0, 0)][DBLP]
    APPROX-RANDOM, 2007, pp:479-493 [Conf]
  35. Graham Cormode, S. Muthukrishnan, Wei Zhuang
    Conquering the Divide: Continuous Clustering of Distributed Data Streams. [Citation Graph (0, 0)][DBLP]
    ICDE, 2007, pp:1036-1045 [Conf]
  36. Graham Cormode, Srikanta Tirthapura, Bojian Xu
    Time-decaying sketches for sensor data aggregation. [Citation Graph (0, 0)][DBLP]
    PODC, 2007, pp:215-224 [Conf]
  37. Graham Cormode, Minos N. Garofalakis
    Streaming in a connected world: querying and tracking distributed data streams. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2007, pp:1178-1181 [Conf]
  38. Graham Cormode, Minos N. Garofalakis
    Sketching probabilistic data streams. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2007, pp:281-292 [Conf]
  39. Amit Chakrabarti, Graham Cormode, Andrew McGregor
    A near-optimal algorithm for computing the entropy of a stream. [Citation Graph (0, 0)][DBLP]
    SODA, 2007, pp:328-335 [Conf]

  40. Streaming in a connected world: querying and tracking distributed data streams. [Citation Graph (, )][DBLP]


  41. Streaming Graph Computations with a Helpful Advisor. [Citation Graph (, )][DBLP]


  42. Annotations in Data Streams. [Citation Graph (, )][DBLP]


  43. On Signatures for Communication Graphs. [Citation Graph (, )][DBLP]


  44. Exponentially Decayed Aggregates on Data Streams. [Citation Graph (, )][DBLP]


  45. Histograms and Wavelets on Probabilistic Data. [Citation Graph (, )][DBLP]


  46. Semantics of Ranking Queries for Probabilistic Data and Expected Ranks. [Citation Graph (, )][DBLP]


  47. Forward Decay: A Practical Time Decay Model for Streaming Systems. [Citation Graph (, )][DBLP]


  48. Anonymized Data: Generation, models, usage. [Citation Graph (, )][DBLP]


  49. Applying Link-Based Classification to Label Blogs. [Citation Graph (, )][DBLP]


  50. Space-optimal heavy hitters with strong error bounds. [Citation Graph (, )][DBLP]


  51. Approximation algorithms for clustering uncertain data. [Citation Graph (, )][DBLP]


  52. Optimal sampling from distributed streams. [Citation Graph (, )][DBLP]


  53. Time-decaying aggregates in out-of-order streams. [Citation Graph (, )][DBLP]


  54. Time-Decayed Correlated Aggregates over Data Streams. [Citation Graph (, )][DBLP]


  55. Estimating the confidence of conditional functional dependencies. [Citation Graph (, )][DBLP]


  56. Anonymized data: generation, models, usage. [Citation Graph (, )][DBLP]


  57. Algorithms for distributed functional monitoring. [Citation Graph (, )][DBLP]


  58. Summarizing Two-Dimensional Data with Skyline-Based Statistical Descriptors. [Citation Graph (, )][DBLP]


  59. Robust lower bounds for communication and stream computation. [Citation Graph (, )][DBLP]


  60. Privacy in dynamic social networks. [Citation Graph (, )][DBLP]


  61. Finding the frequent items in streams of data. [Citation Graph (, )][DBLP]


  62. Histograms and Wavelets on Probabilistic Data [Citation Graph (, )][DBLP]


  63. Streaming Graph Computations with a Helpful Advisor [Citation Graph (, )][DBLP]


  64. Information Cost Tradeoffs for Augmented Index and Streaming Language Recognition [Citation Graph (, )][DBLP]


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