| Record ID | harvard_bibliographic_metadata/ab.bib.12.20150123.full.mrc:889245397:1505 |
| Source | harvard_bibliographic_metadata |
| Download Link | /show-records/harvard_bibliographic_metadata/ab.bib.12.20150123.full.mrc:889245397:1505?format=raw |
LEADER: 01505nam a2200337Ia 4500
001 012991722-2
005 20111203020358.0
008 111018s2011 nyua 001 0 eng d
020 $a9780071748667 (pbk.)
020 $a0071748660 (pbk.)
020 $a9780071748674 (electronic bk.)
020 $a0071748679 (electronic bk.)
035 0 $aocn757519352
040 $aUMI$cUMI$dMH
090 $aQA76.9.D343$bT365 2011
100 1 $aTennick, Art.
245 10 $aPractical DMX queries for Microsoft SQL Server Analysis Services 2008 /$cArt Tennick.
246 30 $aPractical DMX queries for SQL Server Analysis Services 2008
246 3 $aPractical Data Mining Extensions queries for Microsoft SQL Server Analysis Services
246 3 $aPractical Data Mining Extensions queries for SQL Server Analysis Services
260 $aNew York, NY :$bMcGraw-Hill,$c2010.
300 $a1 online resource (xxvi, 308 p.) :$bill.
588 $aDescription based on print version record.
505 0 $aCases queries -- Content queries -- Prediction queries with decision trees -- Prediction queries with time series -- Prediction and cluster queries with clustering -- Prediction queries with association and sequence clustering -- Data definition language (DDL) queries -- Schema and column queries -- After you finish.
500 $aIncludes index.
650 0 $aData mining.
650 0 $aQuerying (Computer science)
630 00 $aSQL server.
655 0 $aElectronic books.
988 $a20111203
906 $0OCLC