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An Overview of String Processing Applications to...
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An Overview of String Processing Applications to Data Analytics

Abstract

Data analytics may conveniently be divided into four stages: preparation, preprocessing, analysis, and post-processing. Especially in the second and third of these, where the data is cleaned, filtered and analyzed, string processing algorithms are fundamental. Applicable string methodology especially includes pattern matching (dozens of competing algorithms) and algorithms that compute repetitions and other forms of regularity. These are …

Authors

Koponen H; Mhaskar N; Smyth WF

Volume

00

Pagination

pp. 1-8

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

May 19, 2021

DOI

10.1109/rdaaps48126.2021.9452004

Name of conference

2021 Reconciling Data Analytics, Automation, Privacy, and Security: A Big Data Challenge (RDAAPS)