| Record ID | ia:probabilisticdat0000dans |
| Source | Internet Archive |
| Download MARC XML | https://archive.org/download/probabilisticdat0000dans/probabilisticdat0000dans_marc.xml |
| Download MARC binary | https://www.archive.org/download/probabilisticdat0000dans/probabilisticdat0000dans_meta.mrc |
LEADER: 01584cam 2200337Ia 4500
001 9921656130001661
005 20150423135601.0
008 110810s2011 caua b 000 0 eng d
020 $a9781608456802 (pbk.)
020 $a1608456803 (pbk.)
035 $a(CSdNU)u485585-01national_inst
035 $a(OCoLC)746202859
035 $a(OCoLC)746202859
035 $a(OCoLC)746202859
040 $aBUF$cBUF$dYDXCP$dBWX$dTXI
049 $aCNUM
050 4 $aQA76.9.D32$bP763 2011
245 00 $aProbabilistic databases /$cDan Suciu ... [et al.].
260 $a[San Rafael, Calif.] :$bMorgan & Claypool Publishers,$cc2011.
300 $axiv, 164 p. :$bill ;$c24 cm.
440 0 $aSynthesis lectures on data management,$x2153-5426 ;$v#16
504 $aIncludes bibliographical references (p. 145-161).
520 3 $aProbabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of uncertain data, which are best modeled and processed by a probabilistic database.
650 0 $aDatabases.
650 0 $aProbabilistic number theory.
650 0 $aQuery languages (Computer science)
700 1 $aSuciu, Dan.
936 $aPR 741091761, 742551690
947 $fSETM$hCIRCSTACKS$p$42.75$q1
994 $a92$bCNU
999 $aQA76.9.D32 P763 2011$wLC$c1$i31786102838080$lCIRCSTACKS$mNULS$rY$sY $tBOOK$u4/24/2012