Usama M. Fayyad

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 6

Top Topics

Process Management

Recommender Systems

Top Venues

IEEE Intell. Syst.

Publications

Ricardo Baeza-Yates, Usama M. Fayyad
Responsible AI: An Urgent Mandate. IEEE Intell. Syst. 39 (1) (2024)
Usama M. Fayyad
From Stochastic Parrots to Intelligent Assistants - The Secrets of Data and Human Interventions. IEEE Intell. Syst. 38 (3) (2023)
Usama M. Fayyad
The Secrets of Data Science Deployments. IEEE Intell. Syst. 37 (4) (2022)
Usama M. Fayyad, Hamit Hamutcu
3rd IADSS Workshop on Data Science Standards - Hiring, Assessing and Upskilling Data Science Talent. KDD (2022)
Usama M. Fayyad, Evangelos Simoudis, Ashok Srivastava
Foreword to the Applied Data Science: Invited Talks Track at KDD-2017. KDD (2017)
Usama M. Fayyad, Arno Candel, Eduardo Ariño de la Rubia, Szilárd Pafka, Anthony Chong, Jeong-Yoon Lee
Benchmarks and Process Management in Data Science: Will We Ever Get Over the Mess? KDD (2017)
Chamsi Abu Quba Rana, Salima Hassas, Usama M. Fayyad, Chamsi Hammam
From a "Cold" to a "Warm" Start in Recommender Systems. WETICE (2014)
Foster J. Provost, Geoffrey I. Webb, Ron Bekkerman, Oren Etzioni, Usama M. Fayyad, Claudia Perlich
A Data Scientist's Guide to Start-Ups. Big Data 2 (3) (2014)
Chamsi Abu Quba Rana, Salima Hassas, Usama M. Fayyad, Milad Alshomary, Christine Gertosio
iSoNTRE: The Social Network Transformer into Recommendation Engine. AICCSA (2014)
Usama M. Fayyad
DSAA/BESC Keynote Speeches: BigData, AllData, Old Data: Predictive analytics in a changing data landscape. BESC (2014)
Gregory Piatetsky-Shapiro, Usama M. Fayyad
An introduction to SIGKDD and a reflection on the term 'data mining'. SIGKDD Explor. 13 (2) (2011)
Usama M. Fayyad
From Mining the Web to Inventing the New Sciences Underlying the Internet. EGC (2008)
Usama M. Fayyad
From mining the web to inventing the new sciences underlying the internet. KDD (2007)
Ben Kao, Minghua Zhang, Chi Lap Yip, David W. Cheung, Usama M. Fayyad
Efficient Algorithms for Mining and Incremental Update of Maximal Frequent Sequences. Data Min. Knowl. Discov. 10 (2) (2005)
Ying Zhao, George Karypis, Usama M. Fayyad
Hierarchical Clustering Algorithms for Document Datasets. Data Min. Knowl. Discov. 10 (2) (2005)
Usama M. Fayyad, Heikki Mannila, Raghu Ramakrishnan
Editorial. Data Min. Knowl. Discov. 8 (2) (2004)
Usama M. Fayyad, Heikki Mannila, Raghu Ramakrishnan
Editorial. Data Min. Knowl. Discov. 8 (1) (2004)
Usama M. Fayyad
Data Mining Grand Challenges. PAKDD (2004)
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Ramasamy Uthurusamy
Summary from the KDD-03 panel: data mining: the next 10 years. SIGKDD Explor. 5 (2) (2003)
Usama M. Fayyad, Ramasamy Uthurusamy
Evolving data into mining solutions for insights. Commun. ACM 45 (8) (2002)
Amir Netz, Surajit Chaudhuri, Usama M. Fayyad, Jeff Bernhardt
Integrating Data Mining with SQL Databases: OLE DB for Data Mining. ICDE (2001)
Usama M. Fayyad
The digital physics of data mining. Commun. ACM 44 (3) (2001)
Usama M. Fayyad, Neal Rothleder, Paul S. Bradley
E-business enterprise data mining. KDD Tutorials (2001)
Cheng Yang, Usama M. Fayyad, Paul S. Bradley
Efficient discovery of error-tolerant frequent itemsets in high dimensions. KDD (2001)
Amir Netz, Surajit Chaudhuri, Jeff Bernhardt, Usama M. Fayyad
Integration of Data Mining with Database Technology. VLDB (2000)
Paul S. Bradley, Cory Reina, Usama M. Fayyad
Clustering Very Large Databases Using EM Mixture Models. ICPR (2000)
Paul S. Bradley, Sunita Sarawagi, Usama M. Fayyad
Editorial. SIGKDD Explor. 2 (1) (2000)
Paul S. Bradley, Usama M. Fayyad, Sunita Sarawagi, Kyuseok Shim
Editorial. SIGKDD Explor. 2 (2) (2000)
Usama M. Fayyad
Editorial. SIGKDD Explor. 1 (2) (2000)
Surajit Chaudhuri, David Madigan, Usama M. Fayyad
KDD-99: The Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. SIGKDD Explor. 1 (2) (2000)
Paul S. Bradley, Usama M. Fayyad, Olvi L. Mangasarian
Mathematical Programming for Data Mining: Formulations and Challenges. INFORMS J. Comput. 11 (3) (1999)
Surajit Chaudhuri, Usama M. Fayyad, Jeff Bernhardt
Scalable Classification over SQL Databases. ICDE (1999)
Kristin P. Bennett, Usama M. Fayyad, Dan Geiger
Density-Based Indexing for Approximate Nearest-Neighbor Queries. KDD (1999)
Jayavel Shanmugasundaram, Usama M. Fayyad, Paul S. Bradley
Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimensions. KDD (1999)
Usama M. Fayyad
Editorial. SIGKDD Explor. 1 (1) (1999)
Usama M. Fayyad, Cory Reina, Paul S. Bradley
Initialization of Iterative Refinement Clustering Algorithms. KDD (1998)
Paul S. Bradley, Usama M. Fayyad, Cory Reina
Scaling Clustering Algorithms to Large Databases. KDD (1998)
Usama M. Fayyad
Mining Databases: Towards Algorithms for Knowledge Discovery. IEEE Data Eng. Bull. 21 (1) (1998)
Goetz Graefe, Usama M. Fayyad, Surajit Chaudhuri
On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases. KDD (1998)
Usama M. Fayyad
Editorial. Data Min. Knowl. Discov. 2 (1) (1998)
Usama M. Fayyad
Editorial. Data Min. Knowl. Discov. 2 (2) (1998)
Paul S. Bradley, Usama M. Fayyad
Refining Initial Points for K-Means Clustering. ICML (1998)
Michael C. Burl, Lars Asker, Padhraic Smyth, Usama M. Fayyad, Pietro Perona, Larry Crumpler, Jayne Aubele
Learning to Recognize Volcanoes on Venus. Mach. Learn. 30 (2-3) (1998)
Usama M. Fayyad
Data Mining and Knowledge Discovery in Databases: Implications for Scientific Databases. SSDBM (1997)
Usama M. Fayyad, Paul E. Stolorz
Data mining and KDD: Promise and challenges. Future Gener. Comput. Syst. 13 (2-3) (1997)
Usama M. Fayyad
Knowledge Discovery in Databases: An Overview. ILP (1997)
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth
From Data Mining to Knowledge Discovery in Databases. AI Mag. 17 (3) (1996)
Usama M. Fayyad, David Haussler, Paul E. Stolorz
Mining Scientific Data. Commun. ACM 39 (11) (1996)
Usama M. Fayyad, Ramasamy Uthurusamy
Data Mining and Knowledge Discovery in Databases (Introduction to the Special Section). Commun. ACM 39 (11) (1996)
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth
The KDD Process for Extracting Useful Knowledge from Volumes of Data. Commun. ACM 39 (11) (1996)
Usama M. Fayyad, S. George Djorgovski, Nicholas Weir
From Digitized Images to Online Catalogs: Data Mining a Sky Survey. AI Mag. 17 (2) (1996)
Usama M. Fayyad
Data Mining and Knowledge Discovery: Making Sense Out of Data. IEEE Expert 11 (5) (1996)
Usama M. Fayyad, David Haussler, Paul E. Stolorz
KDD for Science Data Analysis: Issues and Examples. KDD (1996)
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth
Knowledge Discovery and Data Mining: Towards a Unifying Framework. KDD (1996)
Usama M. Fayyad
Data Mining and Knowledge Discovery in Databases: Applications in Astronomy and Planetary Science. AAAI/IAAI, Vol. 2 (1996)
Padhraic Smyth, Alexander G. Gray, Usama M. Fayyad
Retrofitting Decision Tree Classifiers Using Kernel Density Estimation. ICML (1995)
Usama M. Fayyad, Padhraic Smyth, Nicholas Weir, S. George Djorgovski
Automated Analysis and Exploration of Image Databases: Results, Progress, and Challenges. J. Intell. Inf. Syst. 4 (1) (1995)
Usama M. Fayyad
SKICAT: Sky Image Cataloging and Analysis Tool. IJCAI (1995)
Michael C. Burl, Usama M. Fayyad, Pietro Perona, Padhraic Smyth
Automated Analysis of Radar Imagery of Venus: Handling Lack of Ground Truth. ICIP (3) (1994)
Michael C. Burl, Usama M. Fayyad, Pietro Perona, Padhraic Smyth
Automating the hunt for volcanoes on Venus. CVPR (1994)
Usama M. Fayyad
Branching on Attribute Values in Decision Tree Generation. AAAI (1994)
Usama M. Fayyad, Padhraic Smyth
The Automated Analysis, Cataloging, and Searching of Digital Image Libraries: A Machine Learning Approach. DL (1994)
Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona, Pierre Baldi
Inferring Ground Truth from Subjective Labelling of Venus Images. NIPS (1994)
Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, Pietro Perona
Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth. KDD Workshop (1994)
Keki B. Irani, Jie Cheng, Usama M. Fayyad, Zhaogang Qian
Applying Machine Learning to Semiconductor Manufacturing. IEEE Expert 8 (1) (1993)
Usama M. Fayyad, Keki B. Irani
Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning. IJCAI (1993)
Usama M. Fayyad, Nicholas Weir, S. George Djorgovski
Automated Cataloging and Analysis of Sky Survey Image Databases: The SKICAT System. CIKM (1993)
Usama M. Fayyad, Nicholas Weir, S. George Djorgovski
SKICAT: A Machine Learning System for Automated Cataloging of Large Scale Sky Surveys. ICML (1993)
Usama M. Fayyad, Keki B. Irani
On the Handling of Continuous-Valued Attributes in Decision Tree Generation. Mach. Learn. 8 (1992)
Usama M. Fayyad, Keki B. Irani
The Attribute Selection Problem in Decision Tree Generation. AAAI (1992)
Usama M. Fayyad, Keki B. Irani
What Should Be Minimized in a Decision Tree? AAAI (1990)
Usama M. Fayyad, John E. Laird, Keki B. Irani
The Fifth International Conference on Machine Learning (Report). AI Mag. 10 (2) (1989)
W. Scott Spangler, Usama M. Fayyad, Ramasamy Uthurusamy
Induction of Decision Trees from Inconclusive Data. ML (1989)
Jie Cheng, Usama M. Fayyad, Keki B. Irani, Zhaogang Qian
Improved Decision Trees: A Generalized Version of ID3. ML (1988)