01409nam a2200349Ia 4500001001200000003000800012006001900020007001500039008004100054015001900095020001500114040002100129035002100150050002900171082001600200245010800216260006100324300002300385490007000408504005100478533015200529650001700681650003500698650001600733650003000749655002900779700002000808710001700828830007100845856012600916999001701042ebr10126003CaPaEBRm        u        cr cn|||||||||050816s2005    njua    sb    001 0 eng d  aGBA5698092bnb  z9812563393  aCaPaEBRcCaPaEBR  a(OCoLC)56010992314aQA76.9.D343bG753 2005eb04a006.31222200aGraph-theoretic techniques for web content miningh[electronic resource] /cAdam Schenker ... [et al.].  a[Hackensack], N.J. ;aLondon :bWorld Scientific,c2005.  axi, 235 p. :bill.1 aSeries in machine perception and artificial intelligence ;vv. 62  aIncludes bibliographical references and index.  aElectronic reproduction.bPalo Alto, Calif. :cebrary,d2009.nAvailable via World Wide Web.nAccess may be limited to ebrary affiliated libraries. 0aData mining. 0aGraph theoryxData processing. 0aAlgorithms. 0aMultidimensional scaling. 7aElectronic books.2local1 aSchenker, Adam.2 aebrary, Inc. 0aSeries in machine perception and artificial intelligence ;vv. 62.40uhttp://site.ebrary.com/lib/rucke/Doc?id=10126003zAn electronic book accessible through the World Wide Web; click to view  c80994d80994