Efficient algorithms for constructing decision trees with constraints
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Relational instance-based learning with lists and terms
Machine Learning - Special issue on inducive logic programming
Molecular feature mining in HIV data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
A polynomial time computable metric between point sets
Acta Informatica
An Extension to SQL for Mining Association Rules
Data Mining and Knowledge Discovery
MSQL: A Query Language for Database Mining
Data Mining and Knowledge Discovery
Modeling KDD Processes within the Inductive Database Framework
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Transformation-Based Learning Using Multirelational Aggregation
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
An Introduction to Database Systems
An Introduction to Database Systems
Accelerating XPath evaluation in any RDBMS
ACM Transactions on Database Systems (TODS)
Data Mining with SQL Server 2005
Data Mining with SQL Server 2005
The levelwise version space algorithm and its application to molecular fragment finding
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
An inductive database and query language in the relational model
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
An organizational file permission management system using the cellular data system
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Integrating decision tree learning into inductive databases
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
IQL: a proposal for an inductive query language
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
Towards a general framework for data mining
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
An example of a tracking function using the cellular data system
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
A data modeling example of file permission management using the cellular data system
CEA'10 Proceedings of the 4th WSEAS international conference on Computer engineering and applications
Examples of WWW business application system development using a numerical value identifier
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part III
| Hi-index | 0.00 |
We present a new and comprehensive approach to inductive databases in the relational model. The main contribution is a new inductive query language extending SQL, with the goal of supporting the whole knowledge discovery process, from pre-processing via data mining to post-processing. A prototype system supporting the query language was developed in the SINDBAD (structured inductive database development) project. Setting aside models and focusing on distance-based and instance-based methods, closure can easily be achieved. An example scenario from the area of gene expression data analysis demonstrates the power and simplicity of the concept. We hope that this preliminary work will help to bring the fundamental issues, such as the integration of various pattern domains and data mining techniques, to the attention of the inductive database community.