MARC보기
LDR02288cmm u2200529Ii 4500
001000000320435
003OCoLC
00520230613104610
006m d
007cr |||||||||||
008200926s2020 enk o 001 0 eng d
019 ▼a 1164099440 ▼a 1222916257
020 ▼a 9780192609694
020 ▼a 0192609696
020 ▼a 9780191896514 ▼q (electronic bk.)
020 ▼a 0191896519 ▼q (electronic bk.)
020 ▼z 0198864167
020 ▼z 9780198864165
035 ▼a 2628858 ▼b (N$T)
035 ▼a (OCoLC)1197869019 ▼z (OCoLC)1164099440 ▼z (OCoLC)1222916257
040 ▼a EBLCP ▼b eng ▼c EBLCP ▼d YDX ▼d CUY ▼d OCLCO ▼d OH1 ▼d N$T ▼d K6U ▼d 248032
049 ▼a MAIN
050 4 ▼a QA76.9.D343 ▼b S65 2020
08204 ▼a 006.312 ▼2 23
1001 ▼a Smith, Gary, ▼e author.
24514 ▼a The phantom pattern problem : ▼b the mirage of big data / ▼c Gary Smith and Jay Cordes. ▼h [electronic resource]
260 ▼a Oxford ; ▼a New York, NY : ▼b Oxford University Press, ▼c 2020.
300 ▼a 1 online resource
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
500 ▼a Description based upon print version of record.
520 ▼a Patterns in data are often used as evidence, but how can you tell if that evidence is worth believing? The Phantom Pattern Problem helps readers avoid being duped by data, tricked into worthless investing strategies, or scared out of getting vaccinations. Becoming a sceptical consumer of data is important in this age of Big Data.
590 ▼a OCLC control number change
650 0 ▼a Data mining.
650 0 ▼a Big data.
650 0 ▼a Quantitative research.
655 0 ▼a Electronic books.
655 4 ▼a Electronic books.
7001 ▼a Cordes, Jay, ▼e author.
77608 ▼i Print version: ▼a Smith, Gary ▼t The Phantom Pattern Problem : The Mirage of Big Data ▼d Oxford : Oxford University Press USA - OSO,c2020 ▼z 9780198864165 ▼w (OCoLC)1141231494
85640 ▼3 EBSCOhost ▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2628858
938 ▼a ProQuest Ebook Central ▼b EBLB ▼n EBL6351962
938 ▼a YBP Library Services ▼b YANK ▼n 16961303
938 ▼a YBP Library Services ▼b YANK ▼n 16834033
938 ▼a EBSCOhost ▼b EBSC ▼n 2628858
990 ▼a 관리자
994 ▼a 92 ▼b N$T