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Title:
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Ronen Feldman: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ronen Feldman, Yonatan Aumann, Amihood Amir, Heikki Mannila
    Efficient Algorithms for Discovering Frequent Sets in Incremental Databases. [Citation Graph (3, 0)][DBLP]
    DMKD, 1997, pp:0-0 [Conf]
  2. Ronen Feldman, Ido Dagan
    Knowledge Discovery in Textual Databases (KDT). [Citation Graph (2, 0)][DBLP]
    KDD, 1995, pp:112-117 [Conf]
  3. Ronen Feldman, Haym Hirsh
    Mining Associations in Text in the Presence of Background Knowledge. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:343-346 [Conf]
  4. Ronen Feldman, Willi Klösgen, Amir Zilberstein
    Visualization Techniques to Explore Data Mining Results for Document Collections. [Citation Graph (1, 0)][DBLP]
    KDD, 1997, pp:16-23 [Conf]
  5. Ronen Feldman, Martin Charles Golumbic
    Ineractive Scheduling as a Constraint Satisfiability Problem. [Citation Graph (1, 0)][DBLP]
    Ann. Math. Artif. Intell., 1990, v:1, n:, pp:49-73 [Journal]
  6. Ronen Feldman, Ido Dagan, Haym Hirsh
    Mining Text Using Keyword Distributions. [Citation Graph (1, 0)][DBLP]
    J. Intell. Inf. Syst., 1998, v:10, n:3, pp:281-300 [Journal]
  7. Devika Subramanian, Ronen Feldman
    The Utility of EBL in Recursive Domain Theories. [Citation Graph (0, 0)][DBLP]
    AAAI, 1990, pp:942-949 [Conf]
  8. Binyamin Rosenfeld, Ronen Feldman
    URES : an Unsupervised Web Relation Extraction System. [Citation Graph (0, 0)][DBLP]
    ACL, 2006, pp:- [Conf]
  9. Ronen Feldman, Yonatan Aumann, Michal Finkelstein-Landau, Eyal Hurvitz, Yizhar Regev, Ariel Yaroshevich
    A Comparative Study of Information Extraction Strategies. [Citation Graph (0, 0)][DBLP]
    CICLing, 2002, pp:349-359 [Conf]
  10. Ronen Feldman, Yonatan Aumann, Yair Liberzon, Kfir Ankori, Yonatan Schler, Binyamin Rosenfeld
    A Domain Independent Environment for Creating Information Extraction Modules. [Citation Graph (0, 0)][DBLP]
    CIKM, 2001, pp:586-588 [Conf]
  11. Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
    A hybrid approach to NER by MEMM and manual rules. [Citation Graph (0, 0)][DBLP]
    CIKM, 2005, pp:361-362 [Conf]
  12. Binyamin Rosenfeld, Ronen Feldman, Yonatan Aumann
    Structural extraction from visual layout of documents. [Citation Graph (0, 0)][DBLP]
    CIKM, 2002, pp:203-210 [Conf]
  13. Binyamin Rosenfeld, Ronen Feldman, Moshe Fresko, Jonathan Schler, Yonatan Aumann
    TEG: a hybrid approach to information extraction. [Citation Graph (0, 0)][DBLP]
    CIKM, 2004, pp:589-596 [Conf]
  14. Binyamin Rosenfeld, Ronen Feldman
    High-Performance Unsupervised Relation Extraction from Large Corpora. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:1032-1037 [Conf]
  15. Ronen Feldman, Alberto Maria Segre, Moshe Koppel
    Incremental Refinement of Approximate Domain Theories. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:500-504 [Conf]
  16. Moshe Koppel, Alberto Maria Segre, Ronen Feldman
    Getting the Most from Flawed Theories. [Citation Graph (0, 0)][DBLP]
    ICML, 1994, pp:139-147 [Conf]
  17. Ronen Feldman, Martin Charles Golumbic
    Constraint Satisfiability Algorithms for Interactive Student Scheduling. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1989, pp:1010-1016 [Conf]
  18. Ronen Feldman, Willi Klösgen, Amir Zilberstein
    Document Explorer: Discovering Knowledge in Document Collections. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1997, pp:137-146 [Conf]
  19. Ronen Feldman, Binyamin Rosenfeld, Stephen Soderland, Oren Etzioni
    Self-supervised Relation Extraction from the Web. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2006, pp:755-764 [Conf]
  20. Ronen Feldman
    Mining Unstructured Data. [Citation Graph (0, 0)][DBLP]
    KDD Tutorial Notes, 1999, pp:182-236 [Conf]
  21. Ronen Feldman, Yonatan Aumann, Amihood Amir, Amir Zilberstein, Willi Klösgen
    Maximal Association Rules: A New Tool for Mining for Keyword Co-Occurrences in Document Collections. [Citation Graph (0, 0)][DBLP]
    KDD, 1997, pp:167-170 [Conf]
  22. Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, Yonatan Schler, Jonathan Stoppi
    A framework for specifying explicit bias for revision of approximate information extraction rules. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:189-197 [Conf]
  23. 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]
  24. Ronen Feldman, Moshe Fresko, Haym Hirsh, Yonatan Aumann, Orly Liphstat, Yonatan Schler, Martin Rajman
    Knowledge Management: A Text Mining Approach. [Citation Graph (0, 0)][DBLP]
    PAKM, 1998, pp:- [Conf]
  25. Amihood Amir, Ronen Feldman, Reuven Kashi
    A New and Versatile Method for Association Generation. [Citation Graph (0, 0)][DBLP]
    PKDD, 1997, pp:221-231 [Conf]
  26. Yonatan Aumann, Ronen Feldman, Yaron Ben-Yehuda, David Landau, Orly Liphstat, Yonatan Schler
    Circle Graphs: New Visualization Tools for Text-Mining. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:277-282 [Conf]
  27. Ronen Feldman
    Practical Text Mining. [Citation Graph (0, 0)][DBLP]
    PKDD, 1998, pp:478- [Conf]
  28. Ronen Feldman, Yonatan Aumann, Moshe Fresko, Orly Liphstat, Binyamin Rosenfeld, Yonatan Schler
    Text Mining via Information Extraction. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:165-173 [Conf]
  29. Ronen Feldman, Yonatan Aumann, Amir Zilberstein, Yaron Ben-Yehuda
    Trend Graphs: Visualizing the Evolution of Concept Relationships in Large Document Collections. [Citation Graph (0, 0)][DBLP]
    PKDD, 1998, pp:38-46 [Conf]
  30. Ronen Feldman, Moshe Fresko, Yakkov Kinar, Yehuda Lindell, Orly Liphstat, Martin Rajman, Yonatan Schler, Oren Zamir
    Text Mining at the Term Level. [Citation Graph (0, 0)][DBLP]
    PKDD, 1998, pp:65-73 [Conf]
  31. Ronen Feldman, Willi Klösgen, Yaniv Ben-Yehuda, Gil Kedar, Vladimir Reznikov
    Pattern Based Browsing in Document Collections. [Citation Graph (0, 0)][DBLP]
    PKDD, 1997, pp:112-122 [Conf]
  32. David Landau, Ronen Feldman, Yonatan Aumann, Moshe Fresko, Yehuda Lindell, Orly Liphstat, Oren Zamir
    TextVis: An Integrated Visual Environment for Text Mining. [Citation Graph (0, 0)][DBLP]
    PKDD, 1998, pp:56-64 [Conf]
  33. Binyamin Rosenfeld, Moshe Fresko, Ronen Feldman
    A Systematic Comparison of Feature-Rich Probabilistic Classifiers for NER Tasks. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:217-227 [Conf]
  34. Binyamin Rosenfeld, Ronen Feldman, Moshe Fresko
    A Systematic Cross-Comparison of Sequence Classifiers. [Citation Graph (0, 0)][DBLP]
    SDM, 2006, pp:- [Conf]
  35. Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko, Brian D. Davison
    Hybrid semantic tagging for information extraction. [Citation Graph (0, 0)][DBLP]
    WWW (Special interest tracks and posters), 2005, pp:1022-1023 [Conf]
  36. Ronen Feldman, Martin Charles Golumbic
    Optimization Algorithms for Student Scheduling via Constraint Satisfiability. [Citation Graph (0, 0)][DBLP]
    Comput. J., 1990, v:33, n:4, pp:356-364 [Journal]
  37. Moshe Koppel, Ronen Feldman, Alberto Maria Segre
    Bias-Driven Revision of Logical Domain Theories [Citation Graph (0, 0)][DBLP]
    CoRR, 1994, v:0, n:, pp:- [Journal]
  38. Ronen Feldman, Binyamin Rosenfeld, Ronen Lazar, Joshua Livnat, Benjamin Segal
    Computerized retrieval and classification: An application to reasons for late filings with the securities and exchange commission. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2006, v:10, n:2, pp:183-195 [Journal]
  39. Amihood Amir, Ronen Feldman, Reuven Kashi
    A New and Versatile Method for Association Generation. [Citation Graph (0, 0)][DBLP]
    Inf. Syst., 1997, v:22, n:6/7, pp:333-347 [Journal]
  40. Moshe Koppel, Ronen Feldman, Alberto Maria Segre
    Bias-Driven Revision of Logical Domain Theories. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1994, v:1, n:, pp:159-208 [Journal]
  41. Hagit Shatkay, Ronen Feldman
    Mining the Biomedical Literature in the Genomic Era: An Overview. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2003, v:10, n:6, pp:821-855 [Journal]
  42. Amihood Amir, Yonatan Aumann, Ronen Feldman, Moshe Fresko
    Maximal Association Rules: A Tool for Mining Associations in Text. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2005, v:25, n:3, pp:333-345 [Journal]
  43. Yonatan Aumann, Ronen Feldman, Orly Liphstat, Heikki Mannila
    Borders: An Efficient Algorithm for Association Generation in Dynamic Databases. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 1999, v:12, n:1, pp:61-73 [Journal]
  44. Ronen Feldman, Haym Hirsh
    Exploiting Background Information in Knowledge Discovery from Text. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 1997, v:9, n:1, pp:83-97 [Journal]
  45. Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko
    TEG-a hybrid approach to information extraction. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2006, v:9, n:1, pp:1-18 [Journal]
  46. Yonatan Aumann, Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, Jonathan Schler
    Visual information extraction. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2006, v:10, n:1, pp:1-15 [Journal]
  47. Ronen Feldman, Willi Klösgen
    Data Mining on the Web: A Promising Challenge? [Citation Graph (0, 0)][DBLP]
    KI, 1998, v:12, n:1, pp:35-36 [Journal]
  48. Yizhar Regev, Michal Finkelstein-Landau, Ronen Feldman
    Rule-based Extraction of Experimental Evidence in the Biomedical Domain - the Kdd Cup (Task 1). [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2002, v:4, n:2, pp:90-92 [Journal]
  49. 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]
  50. Shaul Ben Michael, Ronen Feldman
    Visual Query and Exploration System for Temporal Relational Database. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining, 2007, pp:283-295 [Conf]

  51. Using Corpus Statistics on Entities to Improve Semi-supervised Relation Extraction from the Web. [Citation Graph (, )][DBLP]


  52. Clustering for unsupervised relation identification. [Citation Graph (, )][DBLP]


  53. Using sequence classification for filtering web pages. [Citation Graph (, )][DBLP]


  54. Extracting Product Comparisons from Discussion Boards. [Citation Graph (, )][DBLP]


  55. Boosting Unsupervised Relation Extraction by Using NER. [Citation Graph (, )][DBLP]


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