Advances in Knowledge Discovery and Data Mining vs Data Science: Which Should You Read?

Cover of Advances in Knowledge Discovery and Data Mining Advances in Knowledge Discovery and Data Mining Dinh Phung · 2014 ★★★★☆ 3.8 624 pages · ≈ 11 h 33 m · Moderate
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This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne,…

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Cover of Data Science Data Science Rui Mao · 2017 ★★★★☆ 4.1 683 pages · ≈ 12 h 39 m · Moderate
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This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in…

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Side by side

Advances in Knowledge Discovery and Data MiningData ScienceEnjoymentDifficultyInfluencePopularityClassic

The verdict

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Scores by source

Advances in Knowledge Discovery and Data MiningData Science
Goodreads 3.6 (5) 4.1 (2683)
Hardcover — 3.2 (2)
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Reception

Advances in Knowledge Discovery and Data MiningData Science
Ratings 5 2683
Editions 13 11
Film adaptations — 1
Want to read — 10451
Reading it now — 1812
Written reviews — 185
Wikipedia attention — 13379
Pages 624 683
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Questions readers ask

Which is rated higher: Advances in Knowledge Discovery and Data Mining or Data Science?

Data Science has the higher combined reader rating across sources (Data Science 4.1/5, Advances in Knowledge Discovery and Data Mining 3.8/5).

Which is shorter to read: Advances in Knowledge Discovery and Data Mining or Data Science?

Advances in Knowledge Discovery and Data Mining is the quickest read. Estimated at 225 words per minute: Advances in Knowledge Discovery and Data Mining (624 pages, ≈ 11 h 33 m); Data Science (683 pages, ≈ 12 h 39 m).

Which is harder to read: Advances in Knowledge Discovery and Data Mining or Data Science?

Estimated difficulty, based on era, reader shelves and length — Advances in Knowledge Discovery and Data Mining: Moderate; Data Science: Moderate.

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