Big Data Management and Analytics [electronic resource] : 9th European Summer School, eBISS 2019, Berlin, Germany, June 30 – July 5, 2019, Revised Selected Papers /

Contributor(s):

Material type: Text

TextSeries: Lecture Notes in Business Information Processing ; 390Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XI, 121 p. 111 illus., 50 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783030616274

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

025.04 23

LOC classification:

QA75.5-76.95

Online resources:

Click here to access online

Contents:

Actionable Conformance Checking: From Intuitions to Code -- Introduction to Text Analytics -- Automated Machine Learning: Techniques and Frameworks -- Travel-Time Computation Based on GPS Data -- Laplacian Matrix for Dimensionality Reduction and Clustering.

In: Springer Nature eBookSummary: This book constitutes 5 revised tutorial lectures of the 9th European Business Intelligence and Big Data Summer School, eBISS 2019, held in Berlin, Germany, during June 30 – July 5, 2020. The tutorials were given by renowned experts and covered advanced aspects of business intelligence and big data. This summer school, presented by leading researchers in the field, represented an opportunity for postgraduate students to equip themselves with the theoretical and practical skills necessary for developing challenging business intelligence applications.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

No physical items for this record

This book constitutes 5 revised tutorial lectures of the 9th European Business Intelligence and Big Data Summer School, eBISS 2019, held in Berlin, Germany, during June 30 – July 5, 2020. The tutorials were given by renowned experts and covered advanced aspects of business intelligence and big data. This summer school, presented by leading researchers in the field, represented an opportunity for postgraduate students to equip themselves with the theoretical and practical skills necessary for developing challenging business intelligence applications.

There are no comments on this title.

to post a comment.