000 01497cam a22003617a 4500
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003 OSt
005 20231005123433.0
008 120217s2012 nyua b 001 0 eng d
010 _a 2011284941
015 _aGBB1E1277
_2bnb
016 7 _a015971897
_2Uk
020 _a9781107015357 (hbk.)
020 _a1107015359 (hbk.)
035 _a(OCoLC)ocn769542667
040 _aUKMGB
_beng
_cUKMGB
_dWHE
_dCDX
_dYDXCP
_dBWX
_dORU
_dKMS
_dDLC
042 _alccopycat
050 0 0 _aQA76.9
_bLES 2020
082 0 4 _a006.312
_223
100 1 _aLeskovec, Jure
245 1 0 _aMining of massive datasets /
_cJure Leskovec, Anand Rajaraman, Jeffrey David Ullman.
260 _aNew York, N.Y. ;
_aCambridge :
_bCambridge University Press,
_c2020
300 _axi, 553 p. :
_bill. ;
_c26 cm.
504 _aIncludes bibliographical references and index.
505 0 _aData mining -- Large-scale file systems and map-reduce -- Finding similar items -- Mining data streams -- Link analysis -- Frequent itemsets -- Clustering -- Advertising on the web -- Recommendation systems.
650 0 _aData mining.
700 1 _aUllman, Jeffrey D.,
_d1942-
700 1 _aRajaraman, Anand
906 _a7
_bcbc
_ccopycat
_d2
_encip
_f20
_gy-gencatlg
942 _2lcc
_cBK
999 _c23613
_d23613