MARC Record from marc_columbia

LEADER: 05266cam a2200409 a 4500
001 5970186
005 20221121215617.0
008 050314t20052005njua b 001 0 eng
010 $a 2005277335
015 $aGBA445442$2bnb
016 7 $a012937346$2Uk
019 $a59136054
020 $a0471656054
035 $a(OCoLC)ocm56645124
035 $a(NNC)5970186
035 $a5970186
040 $aUKM$cUKM$dC#P$dMUQ$dOCL$dDLC$dBAKER$dOrLoB-B
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050 00 $aQA76.9.D343$bN49 2005
082 04 $a006.312$222
082 04 $a005.7'4$222
245 00 $aNext generation of data mining applications /$cedited by Mehmed M. Kantardzic, Jozef Zurada.
260 $aHoboken, N.J. ;$a[Great Britain] :$bWiley-Interscience,$c[2005], ©2005.
300 $axviii, 671 pages :$billustrations ;$c25 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references and index.
505 00 $tTrends in data-mining applications : from research labs to fortune 500 companies /$rMehmed Kantardzic and Jozef Zurada -- $g1.$tMining wafer fabrication : framework and challenges /$rJemmy Soenjaya, Wynne Hsu, Mong Li Lee and Tachyang Lee -- $g2.$tDamage detection employing data-mining techniques /$rA. Lazarevic, R. Kanapady, C. Kamath, V. Kumar and K. Tamma -- $g3.$tData projection techniques and their application in sensor array data processing /$rLi Yang -- $g4.$tAn application of evolutionary and neural data-mining techniques to customer relationship management /$rPeter Neumann, Dirk Arndt and Bernhard Sick -- $g5.$tSales opportunity miner : data mining for automatic evaluation of sales opportunity /$rJamshid A. Vayghan, Jaideep Srivastava, Sandeep Mane, Philip S. Yu and Gedas Adomavicius -- $g6.$tA fully distributed framework for cost-sensitive data mining /$rWei Fan, Haixun Wang and Philip S. Yu -- $g7.$tApplication of variable precision rough set approach to care driver assessment /$rKwei Aryeetey, Wojciech Ziarko and Kwei Quaye -- $g8.$tDiscovery of patterns in earth science data using data mining /$rPusheng Zhang, Michael Steinbach, Vipin Kumar, Shashi Shekhar, Pang-Ning Tan, Steven Klooster and Christopher Potter -- $g9.$tAn active learning approach to Egeria densa detection in digital imagery /$rHuan Liu, Amit Mandvikar and Patricia G. Foschi -- $g10.$tExperiences in mining data from computer simulations /$rChandrika Kamath, Erick Cantu-Paz, Sen-ching S. Cheung, Imola K. Fodor and Nu Ai Tang -- $g11.$tStatistical modeling of large-scale scientific simulation data /$rTina Eliassi-Rad, Chuck Baldwin, Ghaleb Abdulla and Terence Critchlow -- $g12.$tData mining for gene mapping /$rHannu Toivonen, Paivi Onkamo, Petteri Hintsanen, Evimaria Terzi and Petteri Sevon -- $g13.$tData-mining techniques for microarray data analysis /$rCarlotta Domeniconi, Daniel Barbara, Harsh Chaudhary, Ali Al-Timimi and Curtis Jamison -- $g14.$tThe use of emerging patterns in the analysis of gene expression profiles for the diagnosis and understanding of diseases /$rGuozhu Dong, Jinyan Li and Limsoon Wong -- $g15.$tProteomic data analysis : pattern recognition for medical diagnosis and biomarker discovery /$rD. R. Mani and Michael Gillette -- $g16.$tDiscovering patterns and reference models in the medical domain of isokinetics /$rF. Alonso, J. P. Valente, L. Martinez and C. Montes -- $g17.$tMining the cystic fibrosis data /$rLukasz A. Kurgan, Krzysztof J. Cios, Marci K. Sontag and Frank J. Accurso -- $g18.$tOn learning strategies for topic-specific web crawling /$rCharu C. Aggarwal -- $g19.$tOn analyzing web log data : a parallel sequence-mining algorithm /$rAyhan Demiriz -- $g20.$tInteractive methods for taxonomy editing and validation /$rScott Spangler and Jefffrey Kreulen -- $g21.$tThe use of data-mining techniques in operational crime fighting /$rRichard Adderley -- $g22.$tUsing data mining for intrusion detection /$rMark Brodie, Mark Mei, David George and Sheng Ma -- $g23.$tMining closed and maximal frequent itemsets /$rMohammed J. Zaki -- $g24.$tUsing fractals in data mining /$rCaetano Traina, Jr., Elaine Parros Machado De Sousa and Agma Juci Machado Traina -- $g25.$tGenetic search for logic structures in data /$rWitold Pedrycz.
520 1 $a"This book brings together an international team of eighty experts to present readers with the next generation of data-mining application. Unlike other publications that take a strictly academic and theoretical approach, this book features authors who have successfully developed data mining solutions for a variety of customer types."--BOOK JACKET.
650 0 $aData mining.$0http://id.loc.gov/authorities/subjects/sh97002073
650 6 $aExploration de données (Informatique)
700 1 $aKantardzic, Mehmed.$0http://id.loc.gov/authorities/names/no2003007090
700 1 $aZurada, Jozef,$d1949-$0http://id.loc.gov/authorities/names/n00106926
856 42 $3Contributor biographical information$uhttp://www.loc.gov/catdir/enhancements/fy0626/2005277335-b.html
856 42 $3Publisher description$uhttp://www.loc.gov/catdir/enhancements/fy0626/2005277335-d.html
856 41 $3Table of contents$uhttp://www.loc.gov/catdir/enhancements/fy0626/2005277335-t.html
852 00 $boff,eng$hQA76.9.D343$iN49 2005