Usama M. Fayyad

87 papers A* 27A 1B 4C 2Journal 33Unranked 10
YearRankTypeTitle / Venue / Authors
2024 J jnl
Responsible AI: An Urgent Mandate.
IEEE Intell. Syst.
Ricardo Baeza-Yates, Usama M. Fayyad
2023 J jnl
From Stochastic Parrots to Intelligent Assistants - The Secrets of Data and Human Interventions.
IEEE Intell. Syst.
Usama M. Fayyad
2022 A* conf
3rd IADSS Workshop on Data Science Standards - Hiring, Assessing and Upskilling Data Science Talent.
KDD
Usama M. Fayyad, Hamit Hamutcu
2022 — ch.
The Attention Economy and the Impact of Artificial Intelligence.
Perspectives on Digital Humanism
Ricardo Baeza-Yates, Usama M. Fayyad
2022 J jnl
The Secrets of Data Science Deployments.
IEEE Intell. Syst.
Usama M. Fayyad
2021 — ed.
2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021
IEEE BigData
Yixin Chen, Heiko Ludwig, Yicheng Tu, Usama M. Fayyad, Xingquan Zhu, Xiaohua Hu, Suren Byna, Xiong Liu, Jianping Zhang, Shirui Pan, Vagelis Papalexakis, Jianwu Wang, Alfredo Cuzzocrea, Carlos Ordonez
2017 A* conf
Benchmarks and Process Management in Data Science: Will We Ever Get Over the Mess?
KDD
Usama M. Fayyad, Arno Candel, Eduardo Ariño de la Rubia, Szilárd Pafka, Anthony Chong, Jeong-Yoon Lee
2017 A* conf
Foreword to the Applied Data Science: Invited Talks Track at KDD-2017.
KDD
Usama M. Fayyad, Evangelos Simoudis, Ashok Srivastava
2014 J jnl
A Data Scientist's Guide to Start-Ups.
Big Data
Foster J. Provost, Geoffrey I. Webb, Ron Bekkerman, Oren Etzioni, Usama M. Fayyad, Claudia Perlich
2014 — conf
DSAA/BESC Keynote Speeches: BigData, AllData, Old Data: Predictive analytics in a changing data landscape.
BESC
Usama M. Fayyad
2014 C conf
From a "Cold" to a "Warm" Start in Recommender Systems.
WETICE
Chamsi Abu Quba Rana, Salima Hassas, Usama M. Fayyad, Chamsi Hammam
2014 C conf
iSoNTRE: The Social Network Transformer into Recommendation Engine.
AICCSA
Chamsi Abu Quba Rana, Salima Hassas, Usama M. Fayyad, Milad Alshomary, Christine Gertosio
2011 J jnl
An introduction to SIGKDD and a reflection on the term 'data mining'.
SIGKDD Explor.
Gregory Piatetsky-Shapiro, Usama M. Fayyad
2008 — conf
From Mining the Web to Inventing the New Sciences Underlying the Internet.
EGC
Usama M. Fayyad
2007 A* conf
From mining the web to inventing the new sciences underlying the internet.
KDD
Usama M. Fayyad
2005 J jnl
Efficient Algorithms for Mining and Incremental Update of Maximal Frequent Sequences.
Data Min. Knowl. Discov.
Ben Kao, Minghua Zhang, Chi Lap Yip, David W. Cheung, Usama M. Fayyad
2005 J jnl
Hierarchical Clustering Algorithms for Document Datasets.
Data Min. Knowl. Discov.
Ying Zhao, George Karypis, Usama M. Fayyad
2004 B conf
Data Mining Grand Challenges.
PAKDD
Usama M. Fayyad
2004 J jnl
Editorial.
Data Min. Knowl. Discov.
Usama M. Fayyad, Heikki Mannila, Raghu Ramakrishnan
2004 J jnl
Editorial.
Data Min. Knowl. Discov.
Usama M. Fayyad, Heikki Mannila, Raghu Ramakrishnan
2003 J jnl
Summary from the KDD-03 panel: data mining: the next 10 years.
SIGKDD Explor.
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Ramasamy Uthurusamy
2002 J jnl
Evolving data into mining solutions for insights.
Commun. ACM
Usama M. Fayyad, Ramasamy Uthurusamy
2001 — conf
E-business enterprise data mining.
KDD Tutorials
Usama M. Fayyad, Neal Rothleder, Paul S. Bradley
2001 A* conf
Efficient discovery of error-tolerant frequent itemsets in high dimensions.
KDD
Cheng Yang, Usama M. Fayyad, Paul S. Bradley
2001 — book
Information Visualization in Data Mining and Knowledge Discovery
Usama M. Fayyad, Georges G. Grinstein, Andreas Wierse
2001 A* conf
Integrating Data Mining with SQL Databases: OLE DB for Data Mining.
ICDE
Amir Netz, Surajit Chaudhuri, Usama M. Fayyad, Jeff Bernhardt
2001 J jnl
The digital physics of data mining.
Commun. ACM
Usama M. Fayyad
2000 B conf
Clustering Very Large Databases Using EM Mixture Models.
ICPR
Paul S. Bradley, Cory Reina, Usama M. Fayyad
2000 J jnl
Editorial.
SIGKDD Explor.
Paul S. Bradley, Usama M. Fayyad, Sunita Sarawagi, Kyuseok Shim
2000 J jnl
Editorial.
SIGKDD Explor.
Paul S. Bradley, Sunita Sarawagi, Usama M. Fayyad
2000 J jnl
Editorial.
SIGKDD Explor.
Usama M. Fayyad
2000 A* conf
Integration of Data Mining with Database Technology.
VLDB
Amir Netz, Surajit Chaudhuri, Jeff Bernhardt, Usama M. Fayyad
2000 J jnl
KDD-99: The Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
SIGKDD Explor.
Surajit Chaudhuri, David Madigan, Usama M. Fayyad
1999 A* conf
Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimensions.
KDD
Jayavel Shanmugasundaram, Usama M. Fayyad, Paul S. Bradley
1999 A* conf
Density-Based Indexing for Approximate Nearest-Neighbor Queries.
KDD
Kristin P. Bennett, Usama M. Fayyad, Dan Geiger
1999 J jnl
Editorial.
SIGKDD Explor.
Usama M. Fayyad
1999 J jnl
Mathematical Programming for Data Mining: Formulations and Challenges.
INFORMS J. Comput.
Paul S. Bradley, Usama M. Fayyad, Olvi L. Mangasarian
1999 A* ed.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 15-18, 1999
KDD
Usama M. Fayyad, Surajit Chaudhuri, David Madigan
1999 A* conf
Scalable Classification over SQL Databases.
ICDE
Surajit Chaudhuri, Usama M. Fayyad, Jeff Bernhardt
1998 J jnl
Editorial.
Data Min. Knowl. Discov.
Usama M. Fayyad
1998 J jnl
Editorial.
Data Min. Knowl. Discov.
Usama M. Fayyad
1998 A* conf
Initialization of Iterative Refinement Clustering Algorithms.
KDD
Usama M. Fayyad, Cory Reina, Paul S. Bradley
1998 J jnl
Learning to Recognize Volcanoes on Venus.
Mach. Learn.
Michael C. Burl, Lars Asker, Padhraic Smyth, Usama M. Fayyad, Pietro Perona, Larry Crumpler, Jayne Aubele
1998 J jnl
Mining Databases: Towards Algorithms for Knowledge Discovery.
IEEE Data Eng. Bull.
Usama M. Fayyad
1998 A* conf
On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases.
KDD
Goetz Graefe, Usama M. Fayyad, Surajit Chaudhuri
1998 A* conf
Refining Initial Points for K-Means Clustering.
ICML
Paul S. Bradley, Usama M. Fayyad
1998 A* conf
Scaling Clustering Algorithms to Large Databases.
KDD
Paul S. Bradley, Usama M. Fayyad, Cory Reina
1997 B conf
Data Mining and Knowledge Discovery in Databases: Implications for Scientific Databases.
SSDBM
Usama M. Fayyad
1997 J jnl
Data mining and KDD: Promise and challenges.
Future Gener. Comput. Syst.
Usama M. Fayyad, Paul E. Stolorz
1997 B conf
Knowledge Discovery in Databases: An Overview.
ILP
Usama M. Fayyad
1996 — book
Advances in Knowledge Discovery and Data Mining.
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, Ramasamy Uthurusamy
1996 — ch.
Automating the Analysis and Cataloging of Sky Surveys.
Advances in Knowledge Discovery and Data Mining
Usama M. Fayyad, S. George Djorgovski, Nicholas Weir
1996 J jnl
Data Mining and Knowledge Discovery in Databases (Introduction to the Special Section).
Commun. ACM
Usama M. Fayyad, Ramasamy Uthurusamy
1996 — conf
Data Mining and Knowledge Discovery in Databases: Applications in Astronomy and Planetary Science.
AAAI/IAAI, Vol. 2
Usama M. Fayyad
1996 J jnl
Data Mining and Knowledge Discovery: Making Sense Out of Data.
IEEE Expert
Usama M. Fayyad
1996 J jnl
From Data Mining to Knowledge Discovery in Databases.
AI Mag.
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth
1996 — ch.
From Data Mining to Knowledge Discovery: An Overview.
Advances in Knowledge Discovery and Data Mining
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth
1996 J jnl
From Digitized Images to Online Catalogs: Data Mining a Sky Survey.
AI Mag.
Usama M. Fayyad, S. George Djorgovski, Nicholas Weir
1996 A* conf
KDD for Science Data Analysis: Issues and Examples.
KDD
Usama M. Fayyad, David Haussler, Paul E. Stolorz
1996 A* conf
Knowledge Discovery and Data Mining: Towards a Unifying Framework.
KDD
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth
1996 J jnl
Mining Scientific Data.
Commun. ACM
Usama M. Fayyad, David Haussler, Paul E. Stolorz
1996 — ch.
Modeling Subjective Uncertainty in Image Annotation.
Advances in Knowledge Discovery and Data Mining
Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona
1996 A* ed.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), Portland, Oregon, USA
KDD
Evangelos Simoudis, Jiawei Han, Usama M. Fayyad
1996 J jnl
The KDD Process for Extracting Useful Knowledge from Volumes of Data.
Commun. ACM
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth
1995 J jnl
Automated Analysis and Exploration of Image Databases: Results, Progress, and Challenges.
J. Intell. Inf. Syst.
Usama M. Fayyad, Padhraic Smyth, Nicholas Weir, S. George Djorgovski
1995 A* ed.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), Montreal, Canada, August 20-21, 1995
KDD
Usama M. Fayyad, Ramasamy Uthurusamy
1995 A* conf
Retrofitting Decision Tree Classifiers Using Kernel Density Estimation.
ICML
Padhraic Smyth, Alexander G. Gray, Usama M. Fayyad
1995 A* conf
SKICAT: Sky Image Cataloging and Analysis Tool.
IJCAI
Usama M. Fayyad
1994 — conf
Automated Analysis of Radar Imagery of Venus: Handling Lack of Ground Truth.
ICIP (3)
Michael C. Burl, Usama M. Fayyad, Pietro Perona, Padhraic Smyth
1994 A* conf
Automating the hunt for volcanoes on Venus.
CVPR
Michael C. Burl, Usama M. Fayyad, Pietro Perona, Padhraic Smyth
1994 A* conf
Branching on Attribute Values in Decision Tree Generation.
AAAI
Usama M. Fayyad
1994 — conf
Inferring Ground Truth from Subjective Labelling of Venus Images.
NIPS
Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, Pietro Perona, Pierre Baldi
1994 — ed.
Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, Seattle, Washington, USA, July 1994. Technical Report WS-94-03
KDD
Usama M. Fayyad, Ramasamy Uthurusamy
1994 — conf
Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth.
KDD Workshop
Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, Pietro Perona
1994 — conf
The Automated Analysis, Cataloging, and Searching of Digital Image Libraries: A Machine Learning Approach.
DL
Usama M. Fayyad, Padhraic Smyth
1993 J jnl
Applying Machine Learning to Semiconductor Manufacturing.
IEEE Expert
Keki B. Irani, Jie Cheng, Usama M. Fayyad, Zhaogang Qian
1993 A conf
Automated Cataloging and Analysis of Sky Survey Image Databases: The SKICAT System.
CIKM
Usama M. Fayyad, Nicholas Weir, S. George Djorgovski
1993 A* conf
Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning.
IJCAI
Usama M. Fayyad, Keki B. Irani
1993 A* conf
SKICAT: A Machine Learning System for Automated Cataloging of Large Scale Sky Surveys.
ICML
Usama M. Fayyad, Nicholas Weir, S. George Djorgovski
1992 J jnl
On the Handling of Continuous-Valued Attributes in Decision Tree Generation.
Mach. Learn.
Usama M. Fayyad, Keki B. Irani
1992 A* conf
The Attribute Selection Problem in Decision Tree Generation.
AAAI
Usama M. Fayyad, Keki B. Irani
1991 — ch.
Learning Useful Rules from Inconclusive Data.
Knowledge Discovery in Databases
Ramasamy Uthurusamy, Usama M. Fayyad, W. Scott Spangler
1991 — —
On the induction of decision trees for multiple concept learning.
Usama M. Fayyad
1990 A* conf
What Should Be Minimized in a Decision Tree?
AAAI
Usama M. Fayyad, Keki B. Irani
1989 — conf
Induction of Decision Trees from Inconclusive Data.
ML
W. Scott Spangler, Usama M. Fayyad, Ramasamy Uthurusamy
1989 J jnl
The Fifth International Conference on Machine Learning (Report).
AI Mag.
Usama M. Fayyad, John E. Laird, Keki B. Irani
1988 — conf
Improved Decision Trees: A Generalized Version of ID3.
ML
Jie Cheng, Usama M. Fayyad, Keki B. Irani, Zhaogang Qian