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Interactive visual data analysis

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Big Data has attracted much attention. Many examples are given in the news how new data-driven applications and algorithms provide new insights, enable more effective and efficient operation, and support experts in a wide variety of application domains. This suggests that getting value out of data is easy, but practitioners in the field know better. Obtaining novel, actionable insights
from large and complex data is hard work. In many cases, the human in the loop is indispensable to find unexpected relations, to judge if there is true value in the data and to check if results are valid, as a human is needed to bring in both deep domain expertise and common sense. How to bring the human in the loop?

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

363.700 CHR i

Penerbit

USA : Taylor & Francis Inc.., 2020

Deskripsi Fisik

365 hlm

Bahasa

English

ISBN/ISSN

9780367898755

Klasifikasi

363.700

Tipe Isi

text

Tipe Media

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Tipe Pembawa

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Edisi

Ed. 1

Subjek

FT
ebook

Info Detail Spesifik

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Pernyataan Tanggungjawab

Christian Tominski

Versi lain/terkait

Lampiran Berkas

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