Improved Decision Trees: A Generalized Version of ID3. - Jie Cheng; Usama M. Fayyad; Keki B. Irani; Zhaogang Qian (ML, 1988)

Induction of Decision Trees from Inconclusive Data. - W. Scott Spangler; Usama M. Fayyad; Ramasamy Uthurusamy (ML, 1989)

The Fifth International Conference on Machine Learning (Report). - Usama M. Fayyad; John E. Laird; Keki B. Irani (AI Mag., 1989)

What Should Be Minimized in a Decision Tree? - Usama M. Fayyad; Keki B. Irani (AAAI, 1990)

Learning Useful Rules from Inconclusive Data. - Ramasamy Uthurusamy; Usama M. Fayyad; W. Scott Spangler (Knowledge Discovery in Databases, 1991)

On the induction of decision trees for multiple concept learning. - Usama M. Fayyad (1991)

The Attribute Selection Problem in Decision Tree Generation. - Usama M. Fayyad; Keki B. Irani (AAAI, 1992)

On the Handling of Continuous-Valued Attributes in Decision Tree Generation. - Usama M. Fayyad; Keki B. Irani (Mach. Learn., 1992)

Automated Cataloging and Analysis of Sky Survey Image Databases: The SKICAT System. - Usama M. Fayyad; Nicholas Weir; S. George Djorgovski (CIKM, 1993)

SKICAT: A Machine Learning System for Automated Cataloging of Large Scale Sky Surveys. - Usama M. Fayyad; Nicholas Weir; S. George Djorgovski (ICML, 1993)

Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning. - Usama M. Fayyad; Keki B. Irani (IJCAI, 1993)

Applying Machine Learning to Semiconductor Manufacturing. - Keki B. Irani; Jie Cheng; Usama M. Fayyad; Zhaogang Qian (IEEE Expert, 1993)

Branching on Attribute Values in Decision Tree Generation. - Usama M. Fayyad (AAAI, 1994)

Automating the hunt for volcanoes on Venus. - Michael C. Burl; Usama M. Fayyad; Pietro Perona; Padhraic Smyth (CVPR, 1994)

The Automated Analysis, Cataloging, and Searching of Digital Image Libraries: A Machine Learning Approach. - Usama M. Fayyad; Padhraic Smyth (DL, 1994)

Automated Analysis of Radar Imagery of Venus: Handling Lack of Ground Truth. - Michael C. Burl; Usama M. Fayyad; Pietro Perona; Padhraic Smyth (ICIP (3), 1994)

Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth. - Padhraic Smyth; Michael C. Burl; Usama M. Fayyad; Pietro Perona (KDD Workshop, 1994)

Inferring Ground Truth from Subjective Labelling of Venus Images. - Padhraic Smyth; Usama M. Fayyad; Michael C. Burl; Pietro Perona; Pierre Baldi (NIPS, 1994)

Retrofitting Decision Tree Classifiers Using Kernel Density Estimation. - Padhraic Smyth; Alexander G. Gray; Usama M. Fayyad (ICML, 1995)

SKICAT: Sky Image Cataloging and Analysis Tool. - Usama M. Fayyad (IJCAI, 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)

Automating the Analysis and Cataloging of Sky Surveys. - Usama M. Fayyad; S. George Djorgovski; Nicholas Weir (Advances in Knowledge Discovery and Data Mining, 1996)

From Data Mining to Knowledge Discovery: An Overview. - Usama M. Fayyad; Gregory Piatetsky-Shapiro; Padhraic Smyth (Advances in Knowledge Discovery and Data Mining, 1996)

Modeling Subjective Uncertainty in Image Annotation. - Padhraic Smyth; Usama M. Fayyad; Michael C. Burl; Pietro Perona (Advances in Knowledge Discovery and Data Mining, 1996)

Data Mining and Knowledge Discovery in Databases: Applications in Astronomy and Planetary Science. - Usama M. Fayyad (AAAI/IAAI, Vol. 2, 1996)

KDD for Science Data Analysis: Issues and Examples. - Usama M. Fayyad; David Haussler; Paul E. Stolorz (KDD, 1996)

Knowledge Discovery and Data Mining: Towards a Unifying Framework. - Usama M. Fayyad; Gregory Piatetsky-Shapiro; Padhraic Smyth (KDD, 1996)

From Digitized Images to Online Catalogs: Data Mining a Sky Survey. - Usama M. Fayyad; S. George Djorgovski; Nicholas Weir (AI Mag., 1996)

From Data Mining to Knowledge Discovery in Databases. - Usama M. Fayyad; Gregory Piatetsky-Shapiro; Padhraic Smyth (AI Mag., 1996)

Mining Scientific Data. - Usama M. Fayyad; David Haussler; Paul E. Stolorz (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)

Data Mining and Knowledge Discovery in Databases (Introduction to the Special Section). - Usama M. Fayyad; Ramasamy Uthurusamy (Commun. ACM, 1996)

Data Mining and Knowledge Discovery: Making Sense Out of Data. - Usama M. Fayyad (IEEE Expert, 1996)

Knowledge Discovery in Databases: An Overview. - Usama M. Fayyad (ILP, 1997)

Data Mining and Knowledge Discovery in Databases: Implications for Scientific Databases. - Usama M. Fayyad (SSDBM, 1997)

Data mining and KDD: Promise and challenges. - Usama M. Fayyad; Paul E. Stolorz (Future Gener. Comput. Syst., 1997)

Refining Initial Points for K-Means Clustering. - Paul S. Bradley; Usama M. Fayyad (ICML, 1998)

Scaling Clustering Algorithms to Large Databases. - Paul S. Bradley; Usama M. Fayyad; Cory Reina (KDD, 1998)

Initialization of Iterative Refinement Clustering Algorithms. - Usama M. Fayyad; Cory Reina; Paul S. Bradley (KDD, 1998)

On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases. - Goetz Graefe; Usama M. Fayyad; Surajit Chaudhuri (KDD, 1998)

Editorial. - Usama M. Fayyad (Data Min. Knowl. Discov., 1998)

Mining Databases: Towards Algorithms for Knowledge Discovery. - Usama M. Fayyad (IEEE Data Eng. Bull., 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)

Scalable Classification over SQL Databases. - Surajit Chaudhuri; Usama M. Fayyad; Jeff Bernhardt (ICDE, 1999)

Density-Based Indexing for Approximate Nearest-Neighbor Queries. - Kristin P. Bennett; Usama M. Fayyad; Dan Geiger (KDD, 1999)

Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimensions. - Jayavel Shanmugasundaram; Usama M. Fayyad; Paul S. Bradley (KDD, 1999)

Mathematical Programming for Data Mining: Formulations and Challenges. - Paul S. Bradley; Usama M. Fayyad; Olvi L. Mangasarian (INFORMS J. Comput., 1999)

Clustering Very Large Databases Using EM Mixture Models. - Paul S. Bradley; Cory Reina; Usama M. Fayyad (ICPR, 2000)

Integration of Data Mining with Database Technology. - Amir Netz; Surajit Chaudhuri; Jeff Bernhardt; Usama M. Fayyad (VLDB, 2000)

Editorial. - Paul S. Bradley; Usama M. Fayyad; Sunita Sarawagi; Kyuseok Shim (SIGKDD Explor., 2000)

Editorial. - Paul S. Bradley; Sunita Sarawagi; Usama M. Fayyad (SIGKDD Explor., 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)

Integrating Data Mining with SQL Databases: OLE DB for Data Mining. - Amir Netz; Surajit Chaudhuri; Usama M. Fayyad; Jeff Bernhardt (ICDE, 2001)

E-business enterprise data mining. - Usama M. Fayyad; Neal Rothleder; Paul S. Bradley (KDD Tutorials, 2001)

Efficient discovery of error-tolerant frequent itemsets in high dimensions. - Cheng Yang; Usama M. Fayyad; Paul S. Bradley (KDD, 2001)

The digital physics of data mining. - Usama M. Fayyad (Commun. ACM, 2001)

Evolving data into mining solutions for insights. - Usama M. Fayyad; Ramasamy Uthurusamy (Commun. ACM, 2002)

Summary from the KDD-03 panel: data mining: the next 10 years. - Usama M. Fayyad; Gregory Piatetsky-Shapiro; Ramasamy Uthurusamy (SIGKDD Explor., 2003)

Data Mining Grand Challenges. - Usama M. Fayyad (PAKDD, 2004)

Editorial. - Usama M. Fayyad; Heikki Mannila; Raghu Ramakrishnan 001 (Data Min. Knowl. Discov., 2004)

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)

Hierarchical Clustering Algorithms for Document Datasets. - Ying Zhao 008; George Karypis; Usama M. Fayyad (Data Min. Knowl. Discov., 2005)

From mining the web to inventing the new sciences underlying the internet. - Usama M. Fayyad (KDD, 2007)

An introduction to SIGKDD and a reflection on the term 'data mining'. - Gregory Piatetsky-Shapiro; Usama M. Fayyad (SIGKDD Explor., 2011)

iSoNTRE: The Social Network Transformer into Recommendation Engine. - Chamsi Abu Quba Rana; Salima Hassas; Usama M. Fayyad; Milad Alshomary; Christine Gertosio (AICCSA, 2014)

DSAA/BESC Keynote Speeches: BigData, AllData, Old Data: Predictive analytics in a changing data landscape. - Usama M. Fayyad (BESC, 2014)

From a "Cold" to a "Warm" Start in Recommender Systems. - Chamsi Abu Quba Rana; Salima Hassas; Usama M. Fayyad; Chamsi Hammam (WETICE, 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)

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 (KDD, 2017)

Foreword to the Applied Data Science: Invited Talks Track at KDD-2017. - Usama M. Fayyad; Evangelos Simoudis; Ashok Srivastava (KDD, 2017)

The Attention Economy and the Impact of Artificial Intelligence. - Ricardo Baeza-Yates; Usama M. Fayyad (Perspectives on Digital Humanism, 2022)

3rd IADSS Workshop on Data Science Standards - Hiring, Assessing and Upskilling Data Science Talent. - Usama M. Fayyad; Hamit Hamutcu (KDD, 2022)

The Secrets of Data Science Deployments. - Usama M. Fayyad (IEEE Intell. Syst., 2022)

From Stochastic Parrots to Intelligent Assistants - The Secrets of Data and Human Interventions. - Usama M. Fayyad (IEEE Intell. Syst., 2023)

Responsible AI: An Urgent Mandate. - Ricardo Baeza-Yates; Usama M. Fayyad (IEEE Intell. Syst., 2024)