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Date: Tue, 26 Nov 1996 02:53:38 GMT
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<HTML><head><title>Salvatore J. Stolfo</title></head><frameset rows=17,83> <FRAME SRC=opening.html name=top>  <frame src=stolfo.html name=bottom></frameset><NOFRAMES><body bgcolor="#FFFFAF" link="#0206AC" vlink="#0206AC" text="#000000"><h1>Prof. Salvatore J. Stolfo</h1><!WA0><a href="http://www.cs.columbia.edu/">Department of Computer Science, Columbia University</a>, New York, NY 10027<br><address><!WA1><a href="mailto:sal@cs.columbia.edu">sal@cs.columbia.edu</a></address>Member of the <!WA2><a href="http://www.poly.edu/catt.html">Polytechnic University Center for Advanced Technology</a><hr><h2>A Puzzle to Ponder</h2><p><center><!WA3><IMG SRC="http://www.cs.columbia.edu/~sal/images/AI.small.gif"></center><hr><b>Can you guess what the image means?  (Keep browsing for the answer.) By the way, the topic of this page is constantly under development until that ultimate day......</b><hr><h2>Past Research Interests and Activities:</h2><p><dl><dt><!WA4><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/reddot.gif">    <b>Learning Problem-solving Heuristics</b><dd>My thesis Research (1976-1979, See IJCAI 1979)<dt><!WA5><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/reddot.gif"><b>The Massively Parallel Dado Machine(~1979-~1989)</b><dd><!WA6><a href="http://www.cs.columbia.edu/~sal/dado-machine.html">Hardware</a><dd><!WA7><a href="http://www.cs.columbia.edu/~sal/dado-software.html">Software</a><dd><!WA8><a href="http://www.cs.columbia.edu/~sal/Dado-patents.html">Patents</a><dd><b>Current status:</b> DADO was licensed to a company and abruptly left academiafor its obvious commercialization.  See <!WA9><a href="http://www.sfgate.com">The San Francisco Examinerarticle on page A-1 of the Feb. 5, 1996 issue (click on <b>PreviousExaminers</b> button)</a> for someinformation about its current status. The final chapter on DADOhas not yet been written! Stay tuned!<dt><!WA10><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/reddot.gif"><b>Deductive and Expert Databases</b><dd><!WA11><a href="http://www.cs.columbia.edu/~sal/ace-top.html">ACE - The First Deductive (Expert) Database System (1980 - ~1982)</a><dt><!WA12><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/reddot.gif"><!WA13><a href="http://www.cs.columbia.edu/~sal/load-bal.html">Active/Deductive DatabaseSystem Reorganization and "Predictive" Load Balancing (1990 - ~1994)</a><dt><!WA14><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/reddot.gif"><!WA15><a href="http://www.cs.columbia.edu/~sal/paradiser.html">The PARADISER system (1990-~1994)</a><dt><!WA16><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/reddot.gif"><!WA17><a href="http://www.cs.columbia.edu/~sal/par-rule.html">Parallel Rule-based Systems (Then and Now) (1980 - ~1994)</a><dt><!WA18><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/reddot.gif"><!WA19><a href="http://www.cs.columbia.edu/~sal/increment.html">Incremental Rule Processing in Parallel Environments (1990 - ~1994)</a><dt><!WA20><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/reddot.gif"><b>"Real-world" Application Studies </b><dd><!WA21><a href="http://www.cs.columbia.edu/~sal/alexsys.html">ALEXSYS - Mortgage-backed Security Trading in Parallel. (1988 - ~1990)</a><dt><!WA22><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/reddot.gif"><b>Sponsors:</b><dd> <dl>  <dt><!WA23><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/browndot.gif">      <b><!WA24><a href="http://www.arpa.mil">(D)ARPA</a></b>  <dt><!WA25><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/browndot.gif">      <b><!WA26><a href="http://www.onr.navy.mil">Office of Naval Research</a></b>  <dt><!WA27><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/browndot.gif">      <b>New York State Science and Technology Foundation CAT Program</b>  <dt><!WA28><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/browndot.gif">      <b><!WA29><a href="http://www.citicorp.com">Citicorp</a></b>  <dt><!WA30><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/browndot.gif">      <b><!WA31><a href="http://www.intl.com">Intel</a></b>  <dt><!WA32><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/browndot.gif">      <b><!WA33><a href="http://www.ibm.com">IBM</a></b> </dl></dl><hr><h2>Current Interests: Parallel/Distributed Intelligent Systems (1990's - )</h2><p><dl><dt><!WA34><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/purpledot.gif"><b>KNOWLEDGE DISCOVERY in DATABASE and DATA MINING (KDD/DM)</b><dd>My former days of expert systems research, and parallel hardware designand implementation were great fun. But now I am specializing in parallel/distributed processing for <!WA35><a href="http://www.ai.univie.ac.at/oefai/ml/ml-ressources.html">MachineLearning</a><!WA36><a href="http://www.cs.wsu.edu/~schlimme/ml/addindex.html">(or alternatively click here)</a>,<!WA37><a href="http://www.isse.gmu.edu/JIIS/">Intelligent Information Systems</a>, <!WA38><a href="http://info.gte.com/~kdd/index.html">Knowledge Discovery in Databases and Data Mining</a>, Financial Systems Computing, and Active Databases.   Check out upcoming events like <!WA39><a href="http://www-aig.jpl.nasa.gov/kdd96/">KDD96</a>, or <!WA40><a href="http://www.aaai.org/">AAAI96</a> (I'm on the PC ofboth) and journal sources like <!WA41><a href="http://mlis.www.wkap.nl/mach/">Kluwer's journals</a> in this area. I am a member of  the editorial board of the <!WA42><a href="http://www.research.microsoft.com/research/datamine/">Journal on Data Mining and Knowledge Discovery</a>. Please take a look at our Call for Papers.<p>See also the page on the <!WA43><a href="http://www.cs.columbia.edu/pdis_lab/">Parallel and DistributedIntelligent Systems Lab </a> for a more thorough treatment of my current research activities and relationship to industrial users. <p><dt><!WA44><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/purpledot.gif"><b>MERGE-PURGE: Intelligently Integrating Heterogenous Databases</b><dd>Although  the term <b>merge/purge</b> isused by our Citicorp collaborators and other commercial organizations, it is probably better termed<!WA45><a href="http://www.cs.columbia.edu/~sal/merge-purge.html">The Data Scrubbing, or Data Cleaning Problem</a>.(That's a term Mike Stonebraker used to describethis problem--and Stonebraker-terminology is almost always colorful and illuminating.) Our most recent success on data supplied by theChild Welfare Department of the State of Washington is memoralized inthe <!WA46><a href="http://www.cs.columbia.edu/~sal/ocarlet.html">letter viewable by clicking here.</a><p><dt><!WA47><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/purpledot.gif"><b>META-LEARNING for Scalable Data Mining</b><dd><!WA48><a href="http://www.cs.columbia.edu/~sal/meta-learn.html">Meta-learning</a>is a term we coined for an approach gaining in popularity in the DM/KDDcommunity these days. The essential idea is to combine a number of separately learnedclassifiers or models in such a fashion that machine learning can be scaledto large (and inherently distributed) databases, and (ideally) accuracy can be boosted. But how does one combine separately learned classifiers? We consider that question as a learning problem and applymachine learning algorithms to "meta-learn" how underlying classifiersbehave or correlate with eachother. Hmmmmm...<p><dt><!WA49><IMG ALT="x" SRC="http://www.cs.columbia.edu/~sal/images/purpledot.gif"><b>ELECTRONIC COMMERCE andFINANCIAL INFORMATION SYSTEMS: Widely Distributed Data Mining and Fraud Detection</b><dd>

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