Jörg Wicker, Christoph Brosdau, Lothar Richter, and Stefan Kramer (2008)
SINDBAD SAILS: A Service Architecture for Inductive Learning Schemes
In: Proceedings of the 1st Workshop on Third Generation Data Mining: Towards Service-oriented Knowledge Discovery at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2008, ed. by Nada Lavrač, Joost Kok, Jeroen de Bruin, Vid Podpečan.
The paper presents SINDBAD SAILS (Service Architecture for Inductive Learning Schemes), a Web Service interface to the inductive database SINDBAD. To the best of our knowledge, it is the first time a Web Service interface is provided for an inductive database. The combination of service-oriented architectures and inductive databases is particularly useful, as it enables distributed data mining without the need to install specialized data mining or machine learning software. Moreover, inductive queries can easily be used in almost any kind of programming language. The paper discusses the underlying concepts and explains a sample program making use of SINDBAD SAILS.