Implementing data cubes efficiently
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
A database perspective on knowledge discovery
Communications of the ACM
Efficient mining of emerging patterns: discovering trends and differences
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Nonmonotonic reasoning in LDL++
Logic-based artificial intelligence
Machine Learning
Foundations of Databases: The Logical Level
Foundations of Databases: The Logical Level
Database System Implementation
Database System Implementation
Database Management Systems
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Data Mining and Knowledge Discovery
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
The 3W Model and Algebra for Unified Data Mining
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
On Supporting Interactive Association Rule Mining
DaWaK 2000 Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery
Specifying Mining Algorithms with Iterative User-Defined Aggregates
IEEE Transactions on Knowledge and Data Engineering
Data Mining with SQL Server 2005
Data Mining with SQL Server 2005
Expressive power of an algebra for data mining
ACM Transactions on Database Systems (TODS)
An inductive database prototype based on virtual mining views
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
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
A constraint-based querying system for exploratory pattern discovery
Information Systems
Mining Views: Database Views for Data Mining
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
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
Integrating pattern mining in relational databases
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Mega-modeling for big data analytics
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
MiningZinc: a modeling language for constraint-based mining
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Inductive databases integrate database querying with database mining. In this article, we present an inductive database system that does not rely on a new data mining query language, but on plain SQL. We propose an intuitive and elegant framework based on virtual mining views, which are relational tables that virtually contain the complete output of data mining algorithms executed over a given data table. We show that several types of patterns and models that are implicitly present in the data, such as itemsets, association rules, and decision trees, can be represented and queried with SQL using a unifying framework. As a proof of concept, we illustrate a complete data mining scenario with SQL queries over the mining views, which is executed in our system.