| Record ID | marc_loc_2016/BooksAll.2016.part38.utf8:239365985:1113 |
| Source | Library of Congress |
| Download Link | /show-records/marc_loc_2016/BooksAll.2016.part38.utf8:239365985:1113?format=raw |
LEADER: 01113cam a22002897a 4500
001 2011284941
003 DLC
005 20141004080552.0
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 00 $aQA76.9.D343$bR35 2012
082 04 $a006.312$223
100 1 $aRajaraman, Anand.
245 10 $aMining of massive datasets /$cAnand Rajaraman, Jeffrey David Ullman.
260 $aNew York, N.Y. ;$aCambridge :$bCambridge University Press,$c2012.
300 $ax, 315 p. :$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-