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Usama M. Fayyad, Ph.D.

Usama M. Fayyad, Ph.D.

Chairman & Founder, Open Insights and Inaugural Executive Director of the Institute for Experiential AI @ Northeastern University. First Chief Data Officer at Yahoo!. Former Global CDO, Barclays Bank. Founding Exec Chairman @ Oasis500

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Patents & Publications

Sample Articles in IT Trade Magazines or Handbooks 
May 13, 2003May 3, 2018

Fayyad, U. “Optimizing Customer Insight”, Intelligent Enterprise

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When it comes to data, many multi-channel retail businesses face an embarrassment of riches. What’s missing is timely, actionable insight. Data mining is the

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Patents 
April 15, 2003September 16, 2016

6,549,907 Multi-dimensional database and data cube compression for aggregate query support on numeric dimensions

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6,549,907

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Patents 
December 17, 2002September 16, 2016

6,496,208 Method and apparatus for visualizing and exploring large hierarchical structures

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Abstract

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Patents 
December 3, 2002May 8, 2018

6,490,582 Iterative validation and sampling-based clustering using error-tolerant frequent item sets

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Abstract Iterative validation for efficiently determining error-tolerant frequent itemsets is disclosed. A description of the application of error-tolerant frequent itemsets to efficiently determining clusters

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Patents 
September 10, 2002September 16, 2016

6,499,612 Varying cluster number in a scalable clustering system for use with large databases

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6,499,612

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Edited Collections 
August 1, 2002September 16, 2016

Communications of the ACM special issue on Data Mining – Guest Editor

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Patents 
April 15, 2002May 9, 2018

6,374,251 Scalable system for clustering of large databases

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Abstract A data mining system for use in finding clusters of data items in a database or any other data storage medium. The clusters

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Edited Collections 
December 1, 2001September 16, 2016

Information Visualization in Data Mining and Knowledge Discovery. U.M. Fayyad, G. Grinstein, and A. Wierse (Eds.) Morgan Kaufman Publishers, (2001). ISBN-1-55860-689-0

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Book Chapters 
August 1, 2001September 16, 2016

“Efficient discovery of error-tolerant frequent itemsets in high dimensions” Cheng Yang, Usama Fayyad, Paul S. Bradley. Pro. of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 194-203, ACM Press, San Francisco, CA, August (2001).

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Patents 
July 17, 2001May 14, 2018

6,263,334 Density-based indexing method for efficient execution of high dimensional nearest-neighbor queries on large databases

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Abstract Method and apparatus for efficiently performing nearest neighbor queries on a database of records wherein each record has a large number of attributes

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Recent Posts

  • Building Your AI Roadmap with GenAI Technologies. Speaker at AI Fundamentals for Business Execs, June 18, 2024
  • How AI Shapes the Future of Technology with Usama Fayyad. Podcast by Jean Ginzburg
  • Panel: Generative AI in Finance. ODSC East 2024 Conference, April 23-25, 2024, Boston
  • The Double-Edged Sword of AI in Finance. Invited Talk at Re-Work AI in Finance Summit New York 2024 on April 18, 2024
  • Banking on the Extraordinary: The Enormous Potential of AI in Financial Services. Keynote speaker at EasCorp’s 46th Annual Meeting & Member Conference, May 14, 2024, Waltham, MA
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