The interconnected ideas of inductive databases and constraint-based mining are appealing and have the potential to radically change the theory and practice of data mining and knowledge discovery. This book reports on the results of the European IST project qcInQq (consortium on knowledge discovery by Inductive Queries) and its final workshop entitled Constraint-Based Mining and Inductive Databases organized in Hinterzarten, Germany in March 2004.16. 17. 18. 19. 20. 21. 22. 23. 24. R. Cooley. Web Usage Mining: Discovery and Application of Interesting Patterns from Web Data. ... R. Luk. Pattern discovery from stock time series using self-organizing maps. ... Foundations of technical analysis: Computational algorithms, statistical inference, and empirical implementation.
|Title||:||Constraint-Based Mining and Inductive Databases|
|Author||:||Jean-Francois Boulicaut, Luc De Raedt, Heikki Mannila|
|Publisher||:||Springer - 2006-02-08|