Usama M. Fayyad

According to our database, Usama M. Fayyad authored at least 75 papers between 1988 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Responsible AI: An Urgent Mandate.

Ricardo Baeza-Yates, Usama M. Fayyad

IEEE Intell. Syst., 2024

2023

From Stochastic Parrots to Intelligent Assistants - The Secrets of Data and Human Interventions.

Usama M. Fayyad

IEEE Intell. Syst., 2023

2022

The Secrets of Data Science Deployments.

Usama M. Fayyad

IEEE Intell. Syst., 2022

3rd IADSS Workshop on Data Science Standards - Hiring, Assessing and Upskilling Data Science Talent.

Usama M. Fayyad, Hamit Hamutcu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

The Attention Economy and the Impact of Artificial Intelligence.

Ricardo Baeza-Yates, Usama M. Fayyad

Perspectives on Digital Humanism, 2022

2017

Foreword to the Applied Data Science: Invited Talks Track at KDD-2017.

Usama M. Fayyad, Evangelos Simoudis, Ashok Srivastava

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Benchmarks and Process Management in Data Science: Will We Ever Get Over the Mess?

Usama M. Fayyad, Arno Candel, Eduardo Ariño de la Rubia, Szilárd Pafka, Anthony Chong, Jeong-Yoon Lee

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2014

A Data Scientist's Guide to Start-Ups.

Foster J. Provost, Geoffrey I. Webb, Ron Bekkerman, Oren Etzioni, Usama M. Fayyad, Claudia Perlich

Big Data, 2014

From a "Cold" to a "Warm" Start in Recommender Systems.

Chamsi Abu Quba Rana, Salima Hassas, Usama M. Fayyad, Chamsi Hammam

Proceedings of the 2014 IEEE 23rd International WETICE Conference, 2014

DSAA/BESC Keynote Speeches: BigData, AllData, Old Data: Predictive analytics in a changing data landscape.

Usama M. Fayyad

Proceedings of the 2014 International Conference on Behavioral, 2014

iSoNTRE: The Social Network Transformer into Recommendation Engine.

Chamsi Abu Quba Rana, Salima Hassas, Usama M. Fayyad, Milad Alshomary, Christine Gertosio

Proceedings of the 11th IEEE/ACS International Conference on Computer Systems and Applications, 2014

2011

An introduction to SIGKDD and a reflection on the term 'data mining'.

Gregory Piatetsky-Shapiro, Usama M. Fayyad

SIGKDD Explor., 2011

2008

From Mining the Web to Inventing the New Sciences Underlying the Internet.

Usama M. Fayyad

Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

2005

Hierarchical Clustering Algorithms for Document Datasets.

Ying Zhao, George Karypis, Usama M. Fayyad

Data Min. Knowl. Discov., 2005

Efficient Algorithms for Mining and Incremental Update of Maximal Frequent Sequences.

Ben Kao, Minghua Zhang, Chi Lap Yip, David W. Cheung, Usama M. Fayyad

Data Min. Knowl. Discov., 2005

2004

Editorial.

Usama M. Fayyad, Heikki Mannila, Raghu Ramakrishnan

Data Min. Knowl. Discov., 2004

Data Mining Grand Challenges.

Usama M. Fayyad

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

2003

Summary from the KDD-03 panel: data mining: the next 10 years.

Usama M. Fayyad, Gregory Piatetsky-Shapiro, Ramasamy Uthurusamy

SIGKDD Explor., 2003

2002

Evolving data into mining solutions for insights.

Usama M. Fayyad, Ramasamy Uthurusamy

Commun. ACM, 2002

2001

The digital physics of data mining.

Usama M. Fayyad

Commun. ACM, 2001

Efficient discovery of error-tolerant frequent itemsets in high dimensions.

Cheng Yang, Usama M. Fayyad, Paul S. Bradley

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

E-business enterprise data mining.

Usama M. Fayyad, Neal Rothleder, Paul S. Bradley

Proceedings of the Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Integrating Data Mining with SQL Databases: OLE DB for Data Mining.

Amir Netz, Surajit Chaudhuri, Usama M. Fayyad, Jeff Bernhardt

Proceedings of the 17th International Conference on Data Engineering, 2001

2000

KDD-99: The Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

Surajit Chaudhuri, David Madigan, Usama M. Fayyad

SIGKDD Explor., 2000

Editorial.

Paul S. Bradley, Sunita Sarawagi, Usama M. Fayyad

SIGKDD Explor., 2000

Editorial.

Paul S. Bradley, Usama M. Fayyad, Sunita Sarawagi, Kyuseok Shim

SIGKDD Explor., 2000

Integration of Data Mining with Database Technology.

Amir Netz, Surajit Chaudhuri, Jeff Bernhardt, Usama M. Fayyad

Proceedings of the VLDB 2000, 2000

Clustering Very Large Databases Using EM Mixture Models.

Paul S. Bradley, Cory Reina, Usama M. Fayyad

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999

Mathematical Programming for Data Mining: Formulations and Challenges.

Paul S. Bradley, Usama M. Fayyad, Olvi L. Mangasarian

INFORMS J. Comput., 1999

Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimensions.

Jayavel Shanmugasundaram, Usama M. Fayyad, Paul S. Bradley

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Density-Based Indexing for Approximate Nearest-Neighbor Queries.

Kristin P. Bennett, Usama M. Fayyad, Dan Geiger

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Scalable Classification over SQL Databases.

Surajit Chaudhuri, Usama M. Fayyad, Jeff Bernhardt

Proceedings of the 15th International Conference on Data Engineering, 1999

1998

Learning to Recognize Volcanoes on Venus.

Michael C. Burl, Lars Asker, Padhraic Smyth, Usama M. Fayyad, Pietro Perona, Larry Crumpler, Jayne Aubele

Mach. Learn., 1998

Mining Databases: Towards Algorithms for Knowledge Discovery.

Usama M. Fayyad

IEEE Data Eng. Bull., 1998

Editorial.

Usama M. Fayyad

Data Min. Knowl. Discov., 1998

On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases.

Goetz Graefe, Usama M. Fayyad, Surajit Chaudhuri

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Initialization of Iterative Refinement Clustering Algorithms.

Usama M. Fayyad, Cory Reina, Paul S. Bradley

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Scaling Clustering Algorithms to Large Databases.

Paul S. Bradley, Usama M. Fayyad, Cory Reina

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Refining Initial Points for K-Means Clustering.

Paul S. Bradley, Usama M. Fayyad

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

1997

Data mining and KDD: Promise and challenges.

Usama M. Fayyad, Paul E. Stolorz

Future Gener. Comput. Syst., 1997

Data Mining and Knowledge Discovery in Databases: Implications for Scientific Databases.

Usama M. Fayyad

Proceedings of the Ninth International Conference on Scientific and Statistical Database Management, 1997

Knowledge Discovery in Databases: An Overview.

Usama M. Fayyad

Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997

1996

Data Mining and Knowledge Discovery: Making Sense Out of Data.

Usama M. Fayyad

IEEE Expert, 1996

Data Mining and Knowledge Discovery in Databases (Introduction to the Special Section).

Usama M. Fayyad, Ramasamy Uthurusamy

Commun. ACM, 1996

The KDD Process for Extracting Useful Knowledge from Volumes of Data.

Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth

Commun. ACM, 1996

Mining Scientific Data.

Usama M. Fayyad, David Haussler, Paul E. Stolorz

Commun. ACM, 1996

From Data Mining to Knowledge Discovery in Databases.

Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth

AI Mag., 1996

From Digitized Images to Online Catalogs: Data Mining a Sky Survey.

Usama M. Fayyad, S. George Djorgovski, Nicholas Weir

AI Mag., 1996

Knowledge Discovery and Data Mining: Towards a Unifying Framework.

Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

KDD for Science Data Analysis: Issues and Examples.

Usama M. Fayyad, David Haussler, Paul E. Stolorz

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Data Mining and Knowledge Discovery in Databases: Applications in Astronomy and Planetary Science.

Usama M. Fayyad

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

Modeling Subjective Uncertainty in Image Annotation.

Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona

Proceedings of the Advances in Knowledge Discovery and Data Mining., 1996

From Data Mining to Knowledge Discovery: An Overview.

Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth

Proceedings of the Advances in Knowledge Discovery and Data Mining., 1996

Automating the Analysis and Cataloging of Sky Surveys.

Usama M. Fayyad, S. George Djorgovski, Nicholas Weir

Proceedings of the Advances in Knowledge Discovery and Data Mining., 1996

1995

Automated Analysis and Exploration of Image Databases: Results, Progress, and Challenges.

Usama M. Fayyad, Padhraic Smyth, Nicholas Weir, S. George Djorgovski

J. Intell. Inf. Syst., 1995

SKICAT: Sky Image Cataloging and Analysis Tool.

Usama M. Fayyad

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Retrofitting Decision Tree Classifiers Using Kernel Density Estimation.

Padhraic Smyth, Alexander G. Gray, Usama M. Fayyad

Proceedings of the Machine Learning, 1995

1994

Inferring Ground Truth from Subjective Labelling of Venus Images.

Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona, Pierre Baldi

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth.

Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, Pietro Perona

Proceedings of the Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, 1994

Automated Analysis of Radar Imagery of Venus: Handling Lack of Ground Truth.

Michael C. Burl, Usama M. Fayyad, Pietro Perona, Padhraic Smyth

Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

The Automated Analysis, Cataloging, and Searching of Digital Image Libraries: A Machine Learning Approach.

Usama M. Fayyad, Padhraic Smyth

Proceedings of the Digital Libraries: Current Issues, 1994

Automating the hunt for volcanoes on Venus.

Michael C. Burl, Usama M. Fayyad, Pietro Perona, Padhraic Smyth

Proceedings of the Conference on Computer Vision and Pattern Recognition, 1994

Branching on Attribute Values in Decision Tree Generation.

Usama M. Fayyad

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993

Applying Machine Learning to Semiconductor Manufacturing.

Keki B. Irani, Jie Cheng, Usama M. Fayyad, Zhaogang Qian

IEEE Expert, 1993

Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning.

Usama M. Fayyad, Keki B. Irani

Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

SKICAT: A Machine Learning System for Automated Cataloging of Large Scale Sky Surveys.

Usama M. Fayyad, Nicholas Weir, S. George Djorgovski

Proceedings of the Machine Learning, 1993

Automated Cataloging and Analysis of Sky Survey Image Databases: The SKICAT System.

Usama M. Fayyad, Nicholas Weir, S. George Djorgovski

Proceedings of the CIKM 93, 1993

1992

On the Handling of Continuous-Valued Attributes in Decision Tree Generation.

Usama M. Fayyad, Keki B. Irani

Mach. Learn., 1992

The Attribute Selection Problem in Decision Tree Generation.

Usama M. Fayyad, Keki B. Irani

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991

On the induction of decision trees for multiple concept learning.

Usama M. Fayyad

PhD thesis, 1991

Learning Useful Rules from Inconclusive Data.

Ramasamy Uthurusamy, Usama M. Fayyad, W. Scott Spangler

Proceedings of the Knowledge Discovery in Databases, 1991

1990

What Should Be Minimized in a Decision Tree?

Usama M. Fayyad, Keki B. Irani

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989

The Fifth International Conference on Machine Learning (Report).

Usama M. Fayyad, John E. Laird, Keki B. Irani

AI Mag., 1989

Induction of Decision Trees from Inconclusive Data.

W. Scott Spangler, Usama M. Fayyad, Ramasamy Uthurusamy

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988

Improved Decision Trees: A Generalized Version of ID3.

Jie Cheng, Usama M. Fayyad, Keki B. Irani, Zhaogang Qian

Proceedings of the Machine Learning, 1988