Databases of Personal Identifiable Information

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Learn how to encrypt, decrypt, and hash strings. Can be used with databases for more security. UPDAT...

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Learn how to use phpmyadmin and manage databases through PHP.

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Introduction As researchers in Arti?cial Intelligence, our ?rst aim was to allow our expert system shell Smeci [Sme90] the access to relational databases during reasoning. We also needed to save in a database complex objects that seemed interesting for further utilization, in particular the knowledge bases and the results of reasoning. To this end, we have de?ned generic correspondences [Leb93] between relational concepts and some of the object concepts that are common to most object models. These correspondences allow to translate relational d...

Abstract Data mining and knowledge discovery in databases (KDD) promise to play an important role in the way people interact with databases, especially scientific databases where analysis and exploration operations are essential. The author defines the basic notions in data mining and KDD, defines the goals, presents motivation, and gives a high-level definition of the KDD process and how it relates to data mining. The author then focuses on data mining methods. Basic coverage of a sampling of methods is provided to illustrate the methods and ...

Abstract Data mining and knowledge discovery in databases (KDD) promise to play an important role in the way people interact with databases, especially scientific databases where analysis and exploration operations are essential. The author defines the basic notions in data mining and KDD, defines the goals, presents motivation, and gives a high-level definition of the KDD process and how it relates to data mining. The author then focuses on data mining methods. Basic coverage of a sampling of methods is provided to illustrate the methods and ...

Abstract This paper is about anti-tamper databases, where the database contents are encrypted for security in a way to allow efficient query processing directly on the encrypted database without decrypting it. We use a family of openform and closed-form homomorphism encryption/decryption functions and a computing architecture where (a) the database is encrypted a priori, and (b) for SQL queries expressible in relational algebra, there is no extra query processing cost except for the decryption of the final query output. For complex aggregate q...

Abstract Spatial probabilistic temporal (SPOT) databases are a paradigm for reasoning with probabilistic statements about where a vehicle may be now or in the future. They express statements of the form "Object O is in spatial region R at some time t with some probability in the interval [L,U]." Past work on SPOT databases has developed selection operators based on selecting SPOT atoms that are entailed by the SPOT database-we call this "cautious" selection. In this paper, we study several problems. First, we note that the runtime of consisten...

Abstract Spatial probabilistic temporal (SPOT) databases are a paradigm for reasoning with probabilistic statements about where a vehicle may be now or in the future. They express statements of the form "Object O is in spatial region R at some time t with some probability in the interval [L,U]." Past work on SPOT databases has developed selection operators based on selecting SPOT atoms that are entailed by the SPOT database-we call this "cautious" selection. In this paper, we study several problems. First, we note that the runtime of consisten...

There have been many proposals for extensions of relational databases. It can be considered that two major streams of them are DDBs and OODBs. Research on fusion or integration of their advantages has been being done at the forefront of research on database and logic programming. For the target, the first international conference on deductive and object-oriented databases (DOOD89) was held in Kyoto. In this paper, we propose a framework for the extensions along these lines, and introduce some research results such as /-term, O-logic, F-logic, D...

Motivation: Protein family databases provide a central focus for scientific communities as well as providing useful resources to aide research. However, such resources require constant curation and often become outdated and discontinued. We have developed an ontology-driven system for capturing and managing protein family data that addresses the problems of maintenance and sustainability. Results: Using protein phosphatases and ABC transporters as model protein families, we constructed two protein family database resources around a central DAML...

These two rule-oriented paradigms of databases have been the focus of extensive research and are now coming of age in the commercial DBMS world.

These two rule-oriented paradigms of databases have been the focus of extensive research and are now coming of age in the commercial DBMS world.