Distributed databases principles and systems
Distributed databases principles and systems
An analytical comparison of some rule-learning programs
Artificial Intelligence
Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
Design by exmple: An application of Armstrong relations
Journal of Computer and System Sciences
The temporal query language TQuel
ACM Transactions on Database Systems (TODS)
The logic of induction
The structure of the relational database model
The structure of the relational database model
Relational database management: a systems programming approach
Relational database management: a systems programming approach
Introduction: paradigms for machine learning
Machine learning: paradigms and methods
Models of incremental concept formation
Machine learning: paradigms and methods
Information and Software Technology
Dependency inference algorithms for relational database design
Computers in Industry
Knowledge-directed induction in a DB environment
IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
Discovery of quantitative rules from large databases
Methodologies for intelligent systems, 5
Inductive characterisation of database relations
Methodologies for intelligent systems, 5
Learning in relational databases: an attribute-oriented approach
Computational Intelligence
Evaluation of relational algebras incorporating the time dimension in databases
ACM Computing Surveys (CSUR)
Methodologies from machine learning in data analysis and software
The Computer Journal - Special issue on distributed systems
Introduction to artificial intelligence and expert systems
Introduction to artificial intelligence and expert systems
Knowledge discovery in databases: an overview
AI Magazine
Schema evolution in database systems: an annotated bibliography
ACM SIGMOD Record
On the complexity of inferring functional dependencies
Discrete Applied Mathematics - Special issue on combinatorial problems in databases
Temporal databases: theory, design, and implementation
Temporal databases: theory, design, and implementation
Relational database theory
Temporal semantics in information systems: a survey
Information Systems
On an algebra for historical relational databases: two views
SIGMOD '85 Proceedings of the 1985 ACM SIGMOD international conference on Management of data
Maintaining knowledge about temporal intervals
Communications of the ACM
A relational model of data for large shared data banks
Communications of the ACM
Artificial Intelligence and the Design of Expert Systems
Artificial Intelligence and the Design of Expert Systems
Horizontal data partitioning in database design
SIGMOD '82 Proceedings of the 1982 ACM SIGMOD international conference on Management of data
IEEE Transactions on Knowledge and Data Engineering
A Feasibility and Performance Study of Dependency Inference
Proceedings of the Fifth International Conference on Data Engineering
An Attribute-Oriented Approach for Learning Classification Rules from Relational Databases
Proceedings of the Sixth International Conference on Data Engineering
DBMS Research at a Crossroads: The Vienna Update
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
Predictions and Challenges for Database Systems in the Year 2000
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
Fundamental Mechanisms in Machine Learning and Inductive Inference: Part 2
ACAI '87 Advanced Topics in Artificial Intelligence, 2nd Advanced Course, ACAI '87, Oslo, Norway, July 28 - August 7, 1987
A Taxonomy for Schema Versioning Based on the Relational and Entity Relationship Models
ER '93 Proceedings of the 12th International Conference on the Entity-Relationship Approach: Entity-Relationship Approach
The time relational model
Horizontal decomposition to improve a non-BCNF scheme
ACM SIGMOD Record
Horizontal decompositions and their impact on query solving
ACM SIGMOD Record
Theory of Relational Databases
Theory of Relational Databases
Database compression with data mining methods
Information organization and databases
Approximate query processing model for mobile computing
Information organization and databases
A Survey of Temporal Knowledge Discovery Paradigms and Methods
IEEE Transactions on Knowledge and Data Engineering
Automatic Semantic Object Discovery and Mapping from Non-normalised Relational Database Systems
ADVIS '00 Proceedings of the First International Conference on Advances in Information Systems
Methods and Interpretation of Database Summarisation
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
Lattice-Structured Domains, Imperfect Data and Inductive Queries
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
Towards active conceptual modelling for sudden events
ER '07 Tutorials, posters, panels and industrial contributions at the 26th international conference on Conceptual modeling - Volume 83
Postponing schema definition: low instance-to-entity ratio (LItER) modelling
Active conceptual modeling of learning
Reduce, reuse, recycle: practical approaches to schema integration, evolution and versioning
CoMoGIS'06 Proceedings of the 2006 international conference on Advances in Conceptual Modeling: theory and practice
| Hi-index | 0.01 |
Most database systems research assumes that the database schema is determined by a database administrator. With the recent increase in interest in knowledge discovery from databases and the predicted increase in the volume of data expected to be stored it is appropriate to reexamine this assumption and investigate how derived or induced, rather than database administrator supplied, structure can be accommodated and used by database systems. This paper investigates some of the characteristics of inductive learning and knowledge discovery as they pertain to database systems and the constraints that would be imposed on appropriate inductive learning algorithms is discussed. A formal method of defining induced dependencies (both static and temporal) is proposed as the inductive analogue to functional dependencies. The Boswell database system exemplifying some of these characteristics is also briefly discussed.