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Research, Projects and Topics for Theseses (MSc or PhD)

Research, Projects and Topics for Theseses (MSc or PhD). Presented by Prof. Ehud Gudes. Research. Databases I have worked in various area of databases including physical design and indexing, concurrency control, schema integration and query evaluation, Current research focuses on XML.

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Research, Projects and Topics for Theseses (MSc or PhD)

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  1. Research, Projects and Topics for Theseses (MSc or PhD) Presented by Prof. Ehud Gudes

  2. Research • Databases • I have worked in various area of databases including physical design and indexing, concurrency control, schema integration and query evaluation, Current research focuses on XML. • Data mining (a databases/AI sub-area) • I have worked on association rules mining, on temporal association rules and on XML and Graph mining. Current research focuses on graph mining and sequence mining. • Data Security • My work concentrates mainly on authorization models for databases, workflow and RBAC systems. Recent work includes information flow models and database encryption, using data mining for Intrusion detection, and Trust & Reputation in virtual communities • General AI (Artificial Intelligence) • I am also interested in other areas of AI beside data mining such as Constraints satisfaction and Knowledge-based systems

  3. Funded Projects • IMG4 – a magnet project involving Chip testing companies like: Nova, AMAT, KLA, etc. My role is Data mining for improving the SETUP automation process and an Ontology building project • DT: EDARE - A very large research grant on network security for a large telecommunication company for identifying new Malware • DT: AAA/TRIC – a very large project managed by me for providing Trust & Reputation, and in particular Cross-community reputation in virtual communities • DT: A new database security project. One of the topic is Role mining

  4. Current and future topics for theses • XML/Graph mining and Indexing • K-anonymization and Privacy preserving data mining • Database encryption and Access control • Temporal and Sequence data mining • Models for Trust and Reputation • Non relational databases • Role mining

  5. Example – Sanitized and privacy preserving distributed frequent pattern mining • Several papers exist on privacy preserving association rules mining in distributed environments (horizontal and vertical) • New research on Sanitized distributed association rules • New research on frequent patterns such as: textual, sequences

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