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Note: Links lead to the DBLP on the Web. Salvatore J. Stolfo 49 Wei Fan , Haixun Wang , Philip S. Yu , Salvatore J. Stolfo: A Fully Distributed Framework for Cost-Sensitive Data Mining. ICDCS 2002 : 445-446 48 Wei Fan , Matthew Miller , Salvatore J. Stolfo, Wenke Lee , Philip K. Chan : Using Artificial Anomalies to Detect Unknown and Known Network Intrusions. ICDM 2001 : 123-130 47 Matthew G. Schultz , Eleazar Eskin , Erez Zadok , Salvatore J. Stolfo: Data Mining Methods for Detection of New Malicious Executables. IEEE Symposium on Security and Privacy 2001 : 38-49 46 Andreas L. Prodromidis , Salvatore J. Stolfo: Cost Complexity-Based Pruning of Ensemble Classifiers. Knowledge and Information Systems 3 (4): 449-469 (2001) 45 Salvatore J. Stolfo, Wenke Lee , Philip K. Chan , Wei Fan , Eleazar Eskin : Data Mining-based Intrusion Detectors: An Overview of the Columbia IDS Project. SIGMOD Record 30 (4): 5-14 (2001) 44 Wei Fan , Wenke Lee , Salvatore J. Stolfo, Matthew Miller : A Multiple Model Cost-Sensitive Approach for Intrusion Detection. ECML 2000 : 142-153 43 Wenke Lee , Rahul A. Nimbalkar , Kam K. Yee , Sunil B. Patil , Pragneshkumar H. Desai , Thuan T. Tran , Salvatore J. Stolfo: A Data Mining and CIDF Based Approach for Detecting Novel and Distributed Intrusions. Recent Advances in Intrusion Detection 2000 : 49-65 42 Wenke Lee , Salvatore J. Stolfo, Kui W. Mok : Adaptive Intrusion Detection: A Data Mining Approach. Artificial Intelligence Review 14 (6): 533-567 (2000) 41 Wenke Lee , Salvatore J. Stolfo: A framework for constructing features and models for intrusion detection systems. TISSEC 3 (4): 227-261 (2000) 40 Andreas L. Prodromidis , Salvatore J. Stolfo: Minimal Cost Complexity Pruning of Meta-Classifiers. AAAI/IAAI 1999 : 979 39 Wenke Lee , Salvatore J. Stolfo, Kui W. Mok : A Data Mining Framework for Building Intrusion Detection Models. IEEE Symposium on Security and Privacy 1999 : 120-132 38 Wenke Lee , Salvatore J. Stolfo, Kui W. Mok : Mining in a Data-Flow Environment: Experience in Network Intrusion Detection. KDD 1999 : 114-124 37 Wei Fan , Salvatore J. Stolfo, Junxin Zhang : The Application of AdaBoost for Distributed, Scalable and On-Line Learning. KDD 1999 : 362-366 36 Wenke Lee , Salvatore J. Stolfo: Combining Knowledge Discovery and Knowledge Engineering to Build IDSs. Recent Advances in Intrusion Detection 1999 35 Philip K. Chan , Salvatore J. Stolfo, David Wolpert : Guest Editors' Introduction. Machine Learning 36 (1-2): 5-7 (1999) 34 Philip K. Chan , Salvatore J. Stolfo: Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection. KDD 1998 : 164-168 33 Andreas L. Prodromidis , Salvatore J. Stolfo: Mining Databases with Different Schemas: Integrating Incompatible Classifiers. KDD 1998 : 314-318 32 Wenke Lee , Salvatore J. Stolfo, Kui W. Mok : Mining Audit Data to Build Intrusion Detection Models. KDD 1998 : 66-72 31 Tom Fawcett , Ira J. Haimowitz , Foster J. Provost , Salvatore J. Stolfo: AI Approaches to Fraud Detection and Risk Management. AI Magazine 19 (2): 107-108 (1998) 30 Herbert Schorr , Salvatore J. Stolfo: A Digital Government for the 21st Century. CACM 41 (11): 15-19 (1998) 29 Mauricio A. Hernández , Salvatore J. Stolfo: Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem. Data Mining and Knowledge Discovery 2 (1): 9-37 (1998) 28 Shih-Fu Chang , Luis Gravano , Gail E. Kaiser , Kenneth A. Ross , Salvatore J. Stolfo: Database Research at Columbia University. SIGMOD Record 27 (3): 75-80 (1998) 27 Salvatore J. Stolfo, Andreas L. Prodromidis , Shelley Tselepis , Wenke Lee , Dave W. Fan , Philip K. Chan : JAM: Java Agents for Meta-Learning over Distributed Databases. KDD 1997 : 74-81 26 Philip K. Chan , Salvatore J. Stolfo: On the Accuracy of Meta-Learning for Scalable Data Mining. JIIS 8 (1): 5-28 (1997) 25 Philip K. Chan , Salvatore J. Stolfo: Sharing Learned Models among Remote Database Partitions by Local Meta-Learning. KDD 1996 : 2-7 24 Philip K. Chan , Salvatore J. Stolfo: A Comparative Evaluation of Voting and Meta-learning on Partitioned Data. ICML 1995 : 90-98 23 S. Kliger , S. Yemini , Yechiam Yemini , David Ohsie , Salvatore J. Stolfo: A coding approach to event correlation. Integrated Network Management 1995 : 266-277 22 Philip K. Chan , Salvatore J. Stolfo: Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning. KDD 1995 : 39-44 21 Mauricio A. Hernández , Salvatore J. Stolfo: The Merge/Purge Problem for Large Databases. SIGMOD Conference 1995 : 127-138 20 Hasanat M. Dewan , Mauricio A. Hernández , Kui W. Mok , Salvatore J. Stolfo: Predictive Dynamic Load Balancing of Parallel Hash-Joins Over Heterogeneous Processors in the Presence of Data Skew. PDIS 1994 : 40-49 19 David Ohsie , Hasanat M. Dewan , Salvatore J. Stolfo, Sushil Da Silva : Performance of Incremental Update in Database Rule Processing. RIDE-ADS 1994 : 10-18 18 Hasanat M. Dewan , Salvatore J. Stolfo: Meta-level Control of Rule Execution in a Parallel and Distributed Expert Database System. RIDE-ADS 1994 : 105-114 17 Hasanat M. Dewan , Salvatore J. Stolfo, Mauricio A. Hernández , Jae-Jun Hwang : Predictive Dynamic Load Balancing of Parallel and Distributed Rule and Query Processing. SIGMOD Conference 1994 : 277-288 16 Hasanat M. Dewan , Salvatore J. Stolfo, L. Woodbury : Scalable Parallel and Distributed Expert Database Systems with Predictive Load Balancing. Journal of Parallel and Distributed Computing 22 (3): 506-522 (1994) 15 Philip K. Chan , Salvatore J. Stolfo: Experiments on Multi-Strategy Learning by Meta-Learning. CIKM 1993 : 314-323 14 Hasanat M. Dewan , Salvatore J. Stolfo: System Reorganization and Load Balancing of Parallel Database Rule Processing. ISMIS 1993 : 186-197 13 Benjamin W. Wah , Thomas S. Huang , Aravind K. Joshi , Dan I. Moldovan , Yiannis Aloimonos , Ruzena Bajcsy , Dana H. Ballard , Doug DeGroot , Kenneth DeJong , Charles R. Dyer , Scott E. Fahlman , Ralph Grishman , Lynette Hirschman , Richard E. Korf , Stephen E. Levinson , Daniel P. Miranker , N. H. Morgan , Sergei Nirenburg , Tomaso Poggio , Edward M. Riseman , Craig Stanfil , Salvatore J. Stolfo, Steven L. Tanimoto , Charles C. Weems : Report on Workshop on High Performance Computing and Communications for Grand Challenge Applications: Computer Vision, Speech and Natural Language Processing, and Artificial Intelligence. TKDE 5 (1): 138-154 (1993) 12 Mark Perlin , Jaime G. Carbonell , Daniel P. Miranker , Salvatore J. Stolfo, Milind Tambe : Is Production System Match Interesting? ICTAI 1992 : 2-3 11 Hasanat M. Dewan , David Ohsie , Salvatore J. Stolfo, Ouri Wolfson , Sushil Da Silva : Incremental Database Rule Processing In PARADISER. JIIS 1 (2): 177-209 (1992) 10 Ouri Wolfson , Hasanat M. Dewan , Salvatore J. Stolfo, Yechiam Yemini : Incremental Evaluation of Rules and its Relationship to Parallelism. SIGMOD Conference 1991 : 78-87 9 Salvatore J. Stolfo: Initial Performance of the DADO2 Prototype. IEEE Computer 20 (1): 75-83 (1987) 8 Michael van Biema , Daniel P. Miranker , Salvatore J. Stolfo: The Do-loop Considered Harmful in Production System Programming. Expert Database Conf. 1986 : 177-190 7 Salvatore J. Stolfo: Five Parallel Algorithms for Production System Execution on the DADO Machine. AAAI 1984 : 300-307 6 Andy Lowry , Stephen Taylor , Salvatore J. Stolfo: LPS Algorithms. FGCS 1984 : 436-448 5 Stephen Taylor , Andy Lowry , Gerald Q. Maguire Jr. , Salvatore J. Stolfo: Logic Programming Using Parallel Associative Operations. SLP 1984 : 58-68 4 Gregg T. Vesonder , Salvatore J. Stolfo, John E. Zielinski , Fredrick D. Miller , David H. Copp : ACE: An Expert System for Telephone Cable Maintenance. IJCAI 1983 : 116-121 3 Salvatore J. Stolfo, Daniel P. Miranker , David Elliot Shaw : Architecture and Applications of DADO: A Large-Scale Parallel Computer for Artificial Intelligence. IJCAI 1983 : 850-854 2 Salvatore J. Stolfo, David Elliot Shaw : DADO: A Tree-Structured Machine Architecture for Production Systems. AAAI 1982 : 242-246 1 David Elliot Shaw , Salvatore J. Stolfo, Hussein Ibrahim , Bruce Hillyer , Gio Wiederhold , J. A. Andrews : The NON-VON Database Machine: A Brief Overview. Database Engineering Bulletin 4 (2): 41-52 (1981)  DiSC'02 © 2003 Association for Computing Machinery |
