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Lise Getoor: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Lise Getoor, Greger Ottosson, Markus P. J. Fromherz, Björn Carlson
    Effective Redundant Constraints for Online Scheduling. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:302-307 [Conf]
  2. Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio
    Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models. [Citation Graph (0, 0)][DBLP]
    ACL, 2004, pp:287-294 [Conf]
  3. Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton
    05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis. [Citation Graph (0, 0)][DBLP]
    Probabilistic, Logical and Relational Learning, 2005, pp:- [Conf]
  4. Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton
    05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis. [Citation Graph (0, 0)][DBLP]
    Probabilistic, Logical and Relational Learning, 2005, pp:- [Conf]
  5. Indrajit Bhattacharya, Lise Getoor
    Iterative record linkage for cleaning and integration. [Citation Graph (0, 0)][DBLP]
    DMKD, 2004, pp:11-18 [Conf]
  6. Marie desJardins, Priyang Rathod, Lise Getoor
    Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:485-496 [Conf]
  7. Mustafa Bilgic, Louis Licamele, Lise Getoor, Ben Shneiderman
    D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. [Citation Graph (0, 0)][DBLP]
    Graph Drawing, 2005, pp:505-507 [Conf]
  8. Vivek Sehgal, Lise Getoor, Peter Viechnicki
    Entity resolution in geospatial data integration. [Citation Graph (0, 0)][DBLP]
    GIS, 2006, pp:83-90 [Conf]
  9. Edward Hung, Lise Getoor, V. S. Subrahmanian
    PXML: A Probabilistic Semistructured Data Model and Algebra. [Citation Graph (0, 0)][DBLP]
    ICDE, 2003, pp:467-0 [Conf]
  10. Lisa Singh, Lise Getoor, Louis Licamele
    Pruning Social Networks Using Structural Properties and Descriptive Attributes. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:773-776 [Conf]
  11. Louis Licamele, Lise Getoor
    Social Capital in Friendship-Event Networks. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:959-964 [Conf]
  12. Edward Hung, Lise Getoor, V. S. Subrahmanian
    Probabilistic Interval XML. [Citation Graph (0, 0)][DBLP]
    ICDT, 2003, pp:358-374 [Conf]
  13. Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar
    Learning Probabilistic Models of Relational Structure. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:170-177 [Conf]
  14. Qing Lu, Lise Getoor
    Link-based Classification. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:496-503 [Conf]
  15. Prithviraj Sen, Lise Getoor
    Cost-sensitive learning with conditional Markov networks. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:801-808 [Conf]
  16. Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer
    Learning Probabilistic Relational Models. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:1300-1309 [Conf]
  17. Amy L. Lansky, Lise Getoor
    Scope and Abstraction: Two Criteria for Localized Planning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:1612-1619 [Conf]
  18. Lise Getoor
    Tutorial on Statistical Relational Learning. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:415- [Conf]
  19. Indrajit Bhattacharya, Lise Getoor, Louis Licamele
    Query-time entity resolution. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:529-534 [Conf]
  20. Gregory Piatetsky-Shapiro, Robert Grossman, Chabane Djeraba, Ronen Feldman, Lise Getoor, Mohammed Javeed Zaki
    Is there a grand challenge or X-prize for data mining? [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:954-956 [Conf]
  21. Rezarta Islamaj, Lise Getoor, W. John Wilbur
    A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:553-560 [Conf]
  22. Marie desJardins, Lise Getoor, Daphne Koller
    Using Feature Hierarchies in Bayesian Network Learning. [Citation Graph (0, 0)][DBLP]
    SARA, 2000, pp:260-270 [Conf]
  23. Lise Getoor
    Learning Probabilistic Relational Models. [Citation Graph (0, 0)][DBLP]
    SARA, 2000, pp:322-323 [Conf]
  24. Christopher P. Diehl, Lise Getoor, Galileo Namata
    Name Reference Resolution in Organizational Email Archives. [Citation Graph (0, 0)][DBLP]
    SDM, 2006, pp:- [Conf]
  25. Indrajit Bhattacharya, Lise Getoor
    A Latent Dirichlet Model for Unsupervised Entity Resolution. [Citation Graph (0, 0)][DBLP]
    SDM, 2006, pp:- [Conf]
  26. Lise Getoor, Benjamin Taskar, Daphne Koller
    Selectivity Estimation using Probabilistic Models. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2001, pp:461-472 [Conf]
  27. Kristina Lerman, Lise Getoor, Steven Minton, Craig A. Knoblock
    Using the Structure of Web Sites for Automatic Segmentation of Tables. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2004, pp:119-130 [Conf]
  28. Urszula Chajewska, Lise Getoor, Joseph Norman, Yuval Shahar
    Utility Elicitation as a Classification Problem. [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:79-88 [Conf]
  29. Yves Lespérance, Gerd Wagner, William P. Birmingham, Kurt D. Bollacker, Alexander Nareyek, J. Paul Walser, David W. Aha, Timothy W. Finin, Benjamin N. Grosof, Nathalie Japkowicz, Robert Holte, Lise Getoor, Carla P. Gomes, Holger H. Hoos, Alan C. Schultz, Miroslav Kubat, Tom M. Mitchell, Jörg Denzinger, Yolanda Gil, Karen L. Myers, Claudio Bettini, Angelo Montanari
    AAAI 2000 Workshop Reports. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2001, v:22, n:1, pp:127-136 [Journal]
  30. Lise Getoor, Jeanne T. Rhee, Daphne Koller, Peter Small
    Understanding tuberculosis epidemiology using structured statistical models. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2004, v:30, n:3, pp:233-256 [Journal]
  31. Indrajit Bhattacharya, Lise Getoor
    Collective Entity Resolution In Relational Data. [Citation Graph (0, 0)][DBLP]
    IEEE Data Eng. Bull., 2006, v:29, n:2, pp:4-12 [Journal]
  32. Lise Getoor
    Learning Structure From Statistical Models. [Citation Graph (0, 0)][DBLP]
    IEEE Data Eng. Bull., 2003, v:26, n:3, pp:11-18 [Journal]
  33. Lise Getoor
    An Introduction to Probabilistic Graphical Models for Relational Data. [Citation Graph (0, 0)][DBLP]
    IEEE Data Eng. Bull., 2006, v:29, n:1, pp:32-39 [Journal]
  34. Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar
    Learning Probabilistic Models of Link Structure. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:679-707 [Journal]
  35. Lise Getoor, John Grant
    PRL: A probabilistic relational language. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:62, n:1-2, pp:7-31 [Journal]
  36. Lise Getoor
    Link mining: a new data mining challenge. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2003, v:5, n:1, pp:84-89 [Journal]
  37. Lise Getoor, Christopher P. Diehl
    Introduction to the special issue on link mining. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2005, v:7, n:2, pp:1-2 [Journal]
  38. Lise Getoor, Christopher P. Diehl
    Link mining: a survey. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2005, v:7, n:2, pp:3-12 [Journal]
  39. Andreas Hotho, York Sure, Lise Getoor
    A workshop report: mining for and from the Semantic Web at KDD 2004. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2004, v:6, n:2, pp:142-143 [Journal]
  40. Gregory Piatetsky-Shapiro, Chabane Djeraba, Lise Getoor, Robert Grossman, Ronen Feldman, Mohammed Javeed Zaki
    What are the grand challenges for data mining?: KDD-2006 panel report. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2006, v:8, n:2, pp:70-77 [Journal]
  41. Mustafa Bilgic, Lise Getoor
    VOILA: Efficient Feature-value Acquisition for Classification. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1225-1230 [Conf]
  42. Indrajit Bhattacharya, Lise Getoor
    Online Collective Entity Resolution. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1606-1609 [Conf]
  43. Christopher P. Diehl, Galileo Namata, Lise Getoor
    Relationship Identification for Social Network Discovery. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:546-552 [Conf]
  44. Hyunmo Kang, Vivek Sehgal, Lise Getoor
    GeoDDupe: A Novel Interface for Interactive Entity Resolution in Geospatial Data. [Citation Graph (0, 0)][DBLP]
    IV, 2007, pp:489-496 [Conf]
  45. Lisa Singh, Mitchell Beard, Lise Getoor, M. Brian Blake
    Visual Mining of Multi-Modal Social Networks at Different Abstraction Levels. [Citation Graph (0, 0)][DBLP]
    IV, 2007, pp:672-679 [Conf]
  46. Octavian Udrea, Lise Getoor, Renée J. Miller
    Leveraging data and structure in ontology integration. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2007, pp:449-460 [Conf]
  47. Lisa Singh, Lise Getoor
    Increasing the Predictive Power of Affiliation Networks. [Citation Graph (0, 0)][DBLP]
    IEEE Data Eng. Bull., 2007, v:30, n:2, pp:41-50 [Journal]
  48. Edward Hung, Lise Getoor, V. S. Subrahmanian
    Probabilistic interval XML. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Comput. Log., 2007, v:8, n:4, pp:- [Journal]
  49. Indrajit Bhattacharya, Lise Getoor
    Collective entity resolution in relational data. [Citation Graph (0, 0)][DBLP]
    TKDD, 2007, v:1, n:1, pp:- [Journal]

  50. Active Inference for Collective Classification. [Citation Graph (, )][DBLP]


  51. A dual-view approach to interactive network visualization. [Citation Graph (, )][DBLP]


  52. Leveraging social context for searching social media. [Citation Graph (, )][DBLP]


  53. 07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis. [Citation Graph (, )][DBLP]


  54. Representing Tuple and Attribute Uncertainty in Probabilistic Databases. [Citation Graph (, )][DBLP]


  55. Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction. [Citation Graph (, )][DBLP]


  56. Combining Collective Classification and Link Prediction. [Citation Graph (, )][DBLP]


  57. Active Learning for Networked Data. [Citation Graph (, )][DBLP]


  58. Graph Identification. [Citation Graph (, )][DBLP]


  59. Preserving the Privacy of Sensitive Relationships in Graph Data. [Citation Graph (, )][DBLP]


  60. Effective label acquisition for collective classification. [Citation Graph (, )][DBLP]


  61. Co-evolution of social and affiliation networks. [Citation Graph (, )][DBLP]


  62. Identifying graphs from noisy and incomplete data. [Citation Graph (, )][DBLP]


  63. Growing a tree in the forest: constructing folksonomies by integrating structured metadata. [Citation Graph (, )][DBLP]


  64. Using Friendship Ties and Family Circles for Link Prediction. [Citation Graph (, )][DBLP]


  65. Learning Algorithms for Link Prediction Based on Chance Constraints. [Citation Graph (, )][DBLP]


  66. FutureRank: Ranking Scientific Articles by Predicting their Future PageRank. [Citation Graph (, )][DBLP]


  67. On Maximum Coverage in the Streaming Model & Application to Multi-topic Blog-Watch. [Citation Graph (, )][DBLP]


  68. To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles. [Citation Graph (, )][DBLP]


  69. Constructing folksonomies by integrating structured metadata. [Citation Graph (, )][DBLP]


  70. Graph Identification. [Citation Graph (, )][DBLP]


  71. Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification. [Citation Graph (, )][DBLP]


  72. The Dynamics of Actor Loyalty to Groups in Affiliation Networks. [Citation Graph (, )][DBLP]


  73. Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context. [Citation Graph (, )][DBLP]


  74. Preface. [Citation Graph (, )][DBLP]


  75. Features generated for computational splice-site prediction correspond to functional elements. [Citation Graph (, )][DBLP]


  76. Indirect two-sided relative ranking: a robust similarity measure for gene expression data. [Citation Graph (, )][DBLP]


  77. Learning Structured Bayesian Networks: Combining Abstraction Hierarchies and Tree-Structured Conditional Probability Tables. [Citation Graph (, )][DBLP]


  78. Integrating Structured Metadata with Relational Affinity Propagation [Citation Graph (, )][DBLP]


  79. Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata [Citation Graph (, )][DBLP]


  80. Cost-sensitive learning with conditional Markov networks. [Citation Graph (, )][DBLP]


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