Person: Salvatore J. Stolfo

DBLP: Stolfo:Salvatore_J=

Facilitated 1 volumes:

Ed

Contributed to:

2005

1999

1999

1998

1997

1996

1995

1995

1995

1994

1993

1991

1984

Wrote 16 papers:

KDD-2005-HershkopS #email #modelling #reduction

Combining email models for false positive reduction (SH, SJS), pp. 98–107.

ICML-1999-FanSZC #classification #named

AdaCost: Misclassification Cost-Sensitive Boosting (WF, SJS, JZ, PKC), pp. 97–105.

KDD-1999-FanSZ #distributed #learning #online #scalability

The Application of AdaBoost for Distributed, Scalable and On-Line Learning (WF, SJS, JZ), pp. 362–366.

KDD-1999-LeeSM #data flow #detection #experience #mining #network

Mining in a Data-Flow Environment: Experience in Network Intrusion Detection (WL, SJS, KWM), pp. 114–124.

KDD-1998-ChanS #case study #detection #learning #scalability #towards

Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection (PKC, SJS), pp. 164–168.

KDD-1998-LeeSM #detection #mining #modelling

Mining Audit Data to Build Intrusion Detection Models (WL, SJS, KWM), pp. 66–72.

KDD-1998-Stolfo #classification #database #mining

Mining Databases with Different Schemas: Integrating Incompatible Classifiers (ALP, SJS), pp. 314–318.

KDD-1997-StolfoPTLFC #database #distributed #java #named

JAM: Java Agents for Meta-Learning over Distributed Databases (SJS, ALP, ST, WL, DWF, PKC), pp. 74–81.

KDD-1996-ChanS #database #modelling

Sharing Learned Models among Remote Database Partitions by Local Meta-Learning (PKC, SJS), pp. 2–7.

ICML-1995-ChanS #comparative #evaluation

A Comparative Evaluation of Voting and Meta-learning on Partitioned Data (PKC, SJS), pp. 90–98.

KDD-1995-ChanS #machine learning #scalability

Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning (PKC, SJS), pp. 39–44.

SIGMOD-1995-HernandezS #database #problem #scalability

The Merge/Purge Problem for Large Databases (MAH, SJS), pp. 127–138.

SIGMOD-1994-DewanSHH #distributed #parallel #predict #query

Predictive Dynamic Load Balancing of Parallel and Distributed Rule and Query Processing (HMD, SJS, MAH, JJH), pp. 277–288.

CIKM-1993-ChanS #learning #multi

Experiments on Multi-Strategy Learning by Meta-Learning (PKC, SJS), pp. 314–323.

SIGMOD-1991-WolfsonDSY #evaluation #incremental #parallel

Incremental Evaluation of Rules and its Relationship to Parallelism (OW, HMD, SJS, YY), pp. 78–87.

SLP-1984-TaylorLMS84 #logic programming #parallel #using

Logic Programming Using Parallel Associative Operations (ST, AL, GQMJ, SJS), pp. 58–68.