Towards Integrative Machine Learning And Knowledge Extraction Birs Workshop B - Springer Nature B.V

The Birs Workshop Advances In Interactive Knowledge Discovery And Data Mining In Complex And Big Data Sets (15w2181), Held In July 2015 In Banff, Canada, Was Dedicated To Stimulating A Cross-domain Integrative Machine-learning Approach And Appraisal Of Hot Topics Toward Tackling The Grand Challenge Of Reaching A Level Of Useful And Useable Computational Intelligence With A Focus On Real-world Problems, Such As In The Health Domain. This Encompasses Learning From Prior Data, Extracting And Discovering Knowledge, Generalizing The Results, Fighting The Curse Of Dimensionality, And Ultimately Disentangling The Underlying Explanatory Factors In Complex Data, I.e., To Make Sense Of Data Within The Context Of The Application Domain. The Workshop Aimed To Contribute Advancements In Promising Novel Areas Such As At The Intersection Of Machine Learning And Topological Data Analysis.