Resume: pdf.

Short Bio Bassem Sayrafi is an assistant professor at Birzeit University in the Occupied Palestinian Territories. He received his PhD from Indiana University in 2005. Bassem's research interests include query optimization, dependency theory in relational databases, and the foundational aspects of data mining. The thesis of his dissertation focuses on developing a measure-theoretic framework for constraints and bounds on measurements of data.

Course Taught

Fall 2005 Comp333: Database Management Systems Comp233: Discrete Mathematics Comp230: Computer Programming using C++

Spring 2005 Comp333: Database Management Systems Comp430: Advanced Concepts In Databases Comp230: Computer Programming using C++

Research Below are most of the papers/talks I have presented.
Bassem Sayrafi, Dirk Van Gucht and Paul Purdom. On the Effectiveness and Efficiency of Computing Bounds on the Support of Item-Sets in the Frequent Item-Sets Mining Problem. Accepted in Open Source Data Mining Workship at ACM SIGKDD 2005, Chicago, Illinois. Bassem Sayrafi, Dirk Van Gucht. Differential Constraints. Accepted in ACM PODS 2005, Baltimore, Maryland. Bassem Sayrafi and Dirk Van Gucht. Inference systems derived from additive measures. Workshop on causality and causal discovery In Conjunction with the Seventeenth Canadian Conference on Artificial Intelligence (AI'2004), London, Canada 2004. Chris Gianella and Bassem Sayrafi. An Information Theoretic Histogram for Single Dimensional Selectivity Estimation. Accepted at ACM Symposium on Applied Computing 2005. Bassem Sayrafi, Dirk Van Gucht and Marc Gyssens. Measures in databases and data-mining. Submitted. Bassem Sayrafi, Dirk Van Gucht and Marc Gyssens. A Framework for Measures in databases and data-mining. Poster and talk presented at the first midwest database research symposium 2004. Bassem Sayrafi, Dirk Van Gucht and Marc Gyssens. Measures and Measure-Based Constraints. Talk to be presented at IEEE Logic in Computer Science 2005 Conference. Bassem Sayrafi, Dirk Van Gucht and Marc Gyssens. A Framework for Measures with applications in databases and data-mining. Poster to be presented at the second midwest database research symposium 2005.
The following copyright notice applies to papers published in ACM conferences and workshops. Copyright © by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or permissions ... acm org.