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Introduction

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Centrality and Diversity in Search

Part of the book series: SpringerBriefs in Intelligent Systems ((BRIEFSINSY))

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Abstract

Search is an important operation carried out by any machine learning task. Centrality and diversity play a potential role in every machine learning task. This chapter introduces the role of centrality and diversity in search carried out by a variety of tasks in machine learning, data mining, pattern recognition, and information retrieval.

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Bibliography

  1. Murty MN, Devi VS (2011) Pattern recognition-an algorithmic approach. Undergraduate topics in computer science. Springer, London

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Correspondence to M. N. Murty .

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Murty, M.N., Biswas, A. (2019). Introduction. In: Centrality and Diversity in Search. SpringerBriefs in Intelligent Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-24713-3_1

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  • DOI: https://doi.org/10.1007/978-3-030-24713-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24712-6

  • Online ISBN: 978-3-030-24713-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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