Metalearning: Concepts and Systems.- Metalearning for Algorithm Recommendation: an Introduction.- Development of Metalearning Systems for Algorithm Recommendation.- Extending Metalearning to Data Mining and KDD.- Extending Metalearning to Data Mining and KDD.- Bias Management in Time-Changing Data Streams.- Transfer of Metaknowledge Across Tasks.- Composition of Complex Systems: Role of Domain-Specific Metaknowledge.
From the reviews: "There are many techniques available for machine learning from data … . the problem is: given a set of data, which of the learning systems should one use? The goal of this book is to initiate a study of this problem. … The mixture of detailed description and overview is well managed. The reader is able to see how the authors’ ideas and work fit into a larger framework. Graduate students looking for thesis topics should read this book." (J. P. E. Hodgson, ACM Computing Reviews, May, 2009)
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