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Techniques for Designing Classification Problems

by Ratna Raju Mukiri

ISBN: 9789388381192

Pages: 195, 8x11, English
Available Types: Print, E-book
Genre: Academic

Print book: Rs.415 Rs.350 + Shipping (Delivery in 7-9 working days)
E-book: Rs.200 (PDF, delivered in 24 Working Hours)


The thesis is mainly concerned with classification of tasks and related issues that appear in real-world scenarios, such as incomplete records and irrelevant and/or redundant pieces of information, imbalanced class distribution and imbalanced error costs. There is no universally accepted best classifier and general rules for appropriate metric to select in a certain context exist. Translating the data characteristics and problem goals into appropriate performance, metrics, appropriate classifier is successful data mining process. An original meta-learning framework for automated classifier selection is presented in the case studies section for baseline performance assessment.