Person: Usama M. Fayyad

DBLP: Fayyad:Usama_M=

Facilitated 5 volumes:

Ed

Ed

Ed

Ed

Ed

Contributed to:

2007

2001

2001

2000

2000

1999

1998

1998

1996

1996

1995

1994

1993

1993

1991

1989

1988

1994

Wrote 24 papers:

KDD-2007-Fayyad #internet #mining #web

From mining the web to inventing the new sciences underlying the internet (UMF), pp. 2–3.

KDD-2001-YangFB #performance

Efficient discovery of error-tolerant frequent itemsets in high dimensions (CY, UMF, PSB), pp. 194–203.

KDD-T-2001-FayyadRB #data mining #enterprise #mining

E-business enterprise data mining (UMF, NR, PSB), pp. 1–85.

ICPR-v2-2000-BradleyRF #clustering #database #modelling #scalability #using

Clustering Very Large Databases Using EM Mixture Models (PSB, CR, UMF), pp. 2076–2080.

VLDB-2000-NetzCBF #data mining #database #integration #mining

Integration of Data Mining with Database Technology (AN, SC, JB, UMF), pp. 719–722.

KDD-1999-BennettFG #approximate #nearest neighbour #query

Density-Based Indexing for Approximate Nearest-Neighbor Queries (KPB, UMF, DG), pp. 233–243.

KDD-1999-ShanmugasundaramFB #approximate #query

Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimensions (JS, UMF, PSB), pp. 223–232.

ICML-1998-BradleyF #clustering

Refining Initial Points for K-Means Clustering (PSB, UMF), pp. 91–99.

KDD-1998-BradleyFR #algorithm #clustering #database #scalability

Scaling Clustering Algorithms to Large Databases (PSB, UMF, CR), pp. 9–15.

KDD-1998-FayyadRB #algorithm #clustering #refinement

Initialization of Iterative Refinement Clustering Algorithms (UMF, CR, PSB), pp. 194–198.

KDD-1998-GraefeFC #classification #database #on the #performance #scalability #sql #statistics

On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases (GG, UMF, SC), pp. 204–208.

AKDDM-1996-FayyadDW #analysis #automation

Automating the Analysis and Cataloging of Sky Surveys (UMF, SGD, NW), pp. 471–493.

AKDDM-1996-FayyadPS #bibliography #data mining #information management #mining #perspective

From Data Mining to Knowledge Discovery: An Overview (UMF, GPS, PS), pp. 1–34.

AKDDM-1996-SmythFBP #image #modelling #nondeterminism

Modeling Subjective Uncertainty in Image Annotation (PS, UMF, MCB, PP), pp. 517–539.

KDD-1996-FayyadHS #data analysis

KDD for Science Data Analysis: Issues and Examples (UMF, DH, PES), pp. 50–56.

KDD-1996-FayyadPS #data mining #framework #information management #mining #towards

Knowledge Discovery and Data Mining: Towards a Unifying Framework (UMF, GPS, PS), pp. 82–88.

ICML-1995-SmythGF #classification #estimation #kernel #using

Retrofitting Decision Tree Classifiers Using Kernel Density Estimation (PS, AGG, UMF), pp. 506–514.

KDD-1994-SmythBFP #database #image #information management #nondeterminism #scalability

Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth (PS, MCB, UMF, PP), pp. 109–120.

CIKM-1993-FayyadWD #analysis #automation #database #image #overview

Automated Cataloging and Analysis of Sky Survey Image Databases: The SKICAT System (UMF, NW, SGD), pp. 527–536.

ICML-1993-FayyadWD #automation #machine learning #named #scalability

SKICAT: A Machine Learning System for Automated Cataloging of Large Scale Sky Surveys (UMF, NW, SGD), pp. 112–119.

KDD-1991-UthurusamyFS #learning

Learning Useful Rules from Inconclusive Data (RU, UMF, WSS), pp. 141–158.

ML-1989-SpanglerFU #induction

Induction of Decision Trees from Inconclusive Data (WSS, UMF, RU), pp. 146–150.

ML-1988-ChengFIQ

Improved Decision Trees: A Generalized Version of ID3 (JC, UMF, KBI, ZQ), pp. 100–106.

DL-1994-FayyadS #analysis #approach #automation #image #library #machine learning

The Automated Analysis, Cataloging, and Searching of Digital Image Libraries: A Machine Learning Approach (UMF, PS), pp. 225–249.