Usama M. Fayyad

发表

Mining Databases: Towards Algorithms for Knowledge Discovery

Usama M. Fayyad, U. Fayyad, 1998, IEEE Data Eng. Bull..

Data mining and knowledge discovery in databases

Ramasamy Uthurusamy, Usama M. Fayyad, U. Fayyad, 1996, CACM.

iSoNTRE: Intelligent Transformer of Social Networks into a Recommendation Engine Environment

Salima Hassas, Usama M. Fayyad, Rana Chamsi Abu Quba, 2014 .

Integrating data mining with SQL databases: OLE DB for data mining

Surajit Chaudhuri, Usama M. Fayyad, Amir Netz, 2001, Proceedings 17th International Conference on Data Engineering.

Automated analysis of radar imagery of Venus: handling lack of ground truth

Pietro Perona, Padhraic Smyth, Usama M. Fayyad, 1994, Proceedings of 1st International Conference on Image Processing.

Improved Decision Trees: A Generalized Version of ID3

Jie Cheng, Usama M. Fayyad, Keki B. Irani, 1988, ML.

Automated cataloging and analysis of sky survey image databases: the SKICAT system

Usama M. Fayyad, S. George Djorgovski, Nicholas Weir, 1993, CIKM '93.

SKICAT: Sky Image Cataloging and Analysis Tool

Usama M. Fayyad, 1995, IJCAI.

Applications of Artificial Intelligence 1993: Knowledge-Based Systems in Aerospace and Industry : 13-15 April 1993 Orlando, Florida

Usama M. Fayyad, 1993 .

Data Mining Grand Challenges

Usama M. Fayyad, 2004, PAKDD.

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

Usama M. Fayyad, S. George Djorgovski, Nicholas Weir, 1993, ICML.

Scalable classification over SQL databases

Surajit Chaudhuri, Usama M. Fayyad, Jeff Bernhardt, 1999, Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337).

The digital physics of data mining

Usama M. Fayyad, 2001, CACM.

KDD-99: the fifth ACM SIGKDD international conference on knowledge discovery and data mining

Surajit Chaudhuri, David Madigan, Usama M. Fayyad, 2000, SKDD.

From mining the web to inventing the new sciences underlying the internet

Usama M. Fayyad, 2007, KDD '07.

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

Usama M. Fayyad, U. Fayyad, 1996, AAAI/IAAI, Vol. 2.

A machine learning approach to diagnosis and control with applications in semiconductor manufacturing

Jie Cheng, Usama M. Fayyad, Keki B. Irani, 1992 .

Efficient discovery of error-tolerant frequent itemsets in high dimensions

Cheng Yang, Paul S. Bradley, Usama M. Fayyad, 2001, KDD '01.

Initialization of Iterative Refinement Clustering Algorithms

Paul S. Bradley, Usama M. Fayyad, Cory Reina, 1998, KDD.

Modeling Subjective Uncertainty in Image Annotation

Pietro Perona, Padhraic Smyth, Usama M. Fayyad, 1996, Advances in Knowledge Discovery and Data Mining.

Inferring Ground Truth from Subjective Labelling of Venus Images

Pietro Perona, Pierre Baldi, Padhraic Smyth, 1994, NIPS.

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

Evangelos Simoudis, Ashok Srivastava, Usama M. Fayyad, 2017, KDD.

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

Usama M. Fayyad, 2014, BESC.

Branching on Attribute Values in Decision Tree Generation

Usama M. Fayyad, U. Fayyad, 1994, AAAI.

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

Pietro Perona, Padhraic Smyth, Usama M. Fayyad, 1994, KDD Workshop.

Refining Initial Points for K-Means Clustering

Paul S. Bradley, Usama M. Fayyad, U. Fayyad, 1998, ICML.

Clustering very large databases using EM mixture models

Paul S. Bradley, Usama M. Fayyad, Cory Reina, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

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

Ramasamy Uthurusamy, Usama M. Fayyad, U. Fayyad, 1996 .

iSoNTRE: The Social Network Transformer into Recommendation Engine

Salima Hassas, Usama M. Fayyad, Christine Gertosio, 2014, 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA).

Hierarchical Clustering Algorithms for Document Datasets

George Karypis, Ying Zhao, Usama M. Fayyad, 2005, Data Mining and Knowledge Discovery.

Retrofitting Decision Tree Classifiers Using Kernel Density Estimation

Alexander G. Gray, Padhraic Smyth, Usama M. Fayyad, 1995, ICML.

Data Mining and Knowledge Discovery: Making Sense Out of Data

Usama M. Fayyad, U. Fayyad, 1996, IEEE Expert.

What Should Be Minimized in a Decision Tree?

Usama M. Fayyad, Keki B. Irani, U. Fayyad, 1990, AAAI.

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

Surajit Chaudhuri, Goetz Graefe, Usama M. Fayyad, 1998, KDD.

Density-based indexing for approximate nearest-neighbor queries

Kristin P. Bennett, Dan Geiger, Usama M. Fayyad, 1999, KDD '99.

Applying machine learning to semiconductor manufacturing

Jie Cheng, Usama M. Fayyad, Keki B. Irani, 1993, IEEE Expert.

Data mining and knowledge discovery in databases: implications for scientific databases

Usama M. Fayyad, U. Fayyad, 1997, Proceedings. Ninth International Conference on Scientific and Statistical Database Management (Cat. No.97TB100150).

Induction of Decision Trees from Inconclusive Data

W. Scott Spangler, Ramasamy Uthurusamy, Usama M. Fayyad, 1989, ML.

Knowledge Discovery and Data Mining: Towards a Unifying Framework

Padhraic Smyth, Gregory Piatetsky-Shapiro, Usama M. Fayyad, 1996, KDD.

Automated analysis and exploration of image databases: Results, progress, and challenges

Padhraic Smyth, Usama M. Fayyad, S. George Djorgovski, 2004, Journal of Intelligent Information Systems.

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

Gregory Piatetsky-Shapiro, Usama M. Fayyad, 2012, SKDD.

Learning to Recognize Volcanoes on Venus

Pietro Perona, Padhraic Smyth, Usama M. Fayyad, 1998, Machine Learning.

Compressed data cubes for OLAP aggregate query approximation on continuous dimensions

Paul S. Bradley, Usama M. Fayyad, Jayavel Shanmugasundaram, 1999, KDD '99.

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 15-18, 1999

Surajit Chaudhuri, David Madigan, Usama M. Fayyad, 1999, KDD.

From Data Mining to Knowledge Discovery in Databases

Padhraic Smyth, Gregory Piatetsky-Shapiro, Usama M. Fayyad, 1996, AI Mag..

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

Usama M. Fayyad, Keki B. Irani, U. Fayyad, 1993, IJCAI.

Knowledge Discovery in Databases: An Overview

Usama M. Fayyad, U. Fayyad, 1997, ILP.

Automating the Analysis and Cataloging of Sky Surveys

Usama M. Fayyad, S. George Djorgovski, Nicholas Weir, 1996, Advances in Knowledge Discovery and Data Mining.

Application of machine learning techniques to semiconductor manufacturing

Jie Cheng, Usama M. Fayyad, Keki B. Irani, 1990, Defense, Security, and Sensing.

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

Jeong-Yoon Lee, Usama M. Fayyad, Arno Candel, 2017, KDD.

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

Padhraic Smyth, Usama M. Fayyad, 1994, DL.

Editorial

Paul S. Bradley, Sunita Sarawagi, Kyuseok Shim, 2000, SIGKDD Explor..

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

Gregory Piatetsky-Shapiro, Ramasamy Uthurusamy, Usama M. Fayyad, 2003, SKDD.

Evolving data into mining solutions for insights

Ramasamy Uthurusamy, Usama M. Fayyad, U. Fayyad, 2002, CACM.

A Data Scientist's Guide to Start-Ups

Oren Etzioni, Geoffrey I. Webb, Foster J. Provost, 2014, Big Data.

From Data Mining to Knowledge Discovery: An Overview

Padhraic Smyth, Gregory Piatetsky-Shapiro, Usama M. Fayyad, 1996, Advances in Knowledge Discovery and Data Mining.

Mining scientific data

David Haussler, Usama M. Fayyad, Paul E. Stolorz, 1996, CACM.

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

Usama M. Fayyad, Keki B. Irani, U. Fayyad, 1992, Machine Learning.

The Attribute Selection Problem in Decision Tree Generation

Usama M. Fayyad, Keki B. Irani, U. Fayyad, 1992, AAAI.

KDD for Science Data Analysis: Issues and Examples

David Haussler, Usama M. Fayyad, Paul E. Stolorz, 1996, KDD.

Efficient Algorithms for Mining and Incremental Update of Maximal Frequent Sequences

David Wai-Lok Cheung, Chi Lap Yip, Usama M. Fayyad, 2005, Data Mining and Knowledge Discovery.

Data mining and KDD: Promise and challenges

Usama M. Fayyad, Paul E. Stolorz, U. Fayyad, 1997, Future Gener. Comput. Syst..

Editorial

Paul S. Bradley, Sunita Sarawagi, Usama M. Fayyad, 2000, SIGKDD Explor..

Mathematical Programming for Data Mining: Formulations and Challenges

Paul S. Bradley, Olvi L. Mangasarian, Usama M. Fayyad, 1999, INFORMS J. Comput..

E-business enterprise data mining

Paul S. Bradley, Usama M. Fayyad, Neal Rothleder, 2001, KDD Tutorials.

Scaling Clustering Algorithms to Large Databases

Paul S. Bradley, Usama M. Fayyad, Cory Reina, 1998, KDD.

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

Salima Hassas, Usama M. Fayyad, Chamsi Abu Quba Rana, 2014, 2014 IEEE 23rd International WETICE Conference.

Learning Useful Rules from Inconclusive Data

W. Scott Spangler, Ramasamy Uthurusamy, Usama M. Fayyad, 1991, Knowledge Discovery in Databases.

A Machine Learning Approach to the Analysis of Large Image Databases

Usama M. Fayyad, 1995 .

Automating the hunt for volcanoes on Venus

Pietro Perona, Padhraic Smyth, Usama M. Fayyad, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.