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Document Date: 2004-04-29 03:43:17Open Document File Size: 332,29 KBShare Result on FacebookCitySeattle / Dallas / Santa Barbara / Lake Buena Vista / New York / Madison / Philadelphia / Portland / New York City / San Diego / Chicago / Edinburgh / /CompanyIBM / Adaptive Finite IntervAls / superspace AB / /CountryScotland / / /FacilityNorthwestern University / Stanford University / Peer Kr¨oger Institute / Computer Science University of Munich / /IndustryTermchip technologies / data mining methods / bottom-up algorithm / Representative algorithms / data mining / automated analysis tools / subspace clustering algorithms / bottomup greedy algorithm / density-based subspace clustering algorithm / similar bottom-up algorithm / greedy algorithm / biological energy / mining / mRNA product / energy metabolism / /OperatingSystemMicrosoft Vista / /OrganizationNorthwestern University / Computer Science University of Munich / German Ministry for Education / Science / Research and Technology / Center for Parallel and Distributed Computing / Peer Kr¨oger Institute / Stanford University / Data Organization / /PersonElke Schumm / Pankaj K Agarwal / Cecilia M Procopiuc / Buena Vista / M. Zhang / V / Hans-Peter Kriegel / Alexandra Boshammer / Michael Jones / Markus M Breunig / Karin Kailing Hans-Peter / /PositionRepresentative / /ProgrammingLanguageFL / /ProvinceOrStateAlberta / Texas / Wisconsin / Illinois / Oregon / New York / Washington / Pennsylvania / Florida / California / /SportsLeagueStanford University / /TechnologyOur algorithm / RAM / Bioinformatics / bottomup greedy algorithm / subspace clustering algorithms / Hybridization / similar bottom-up algorithm / Monte Carlo Algorithm / grid-based algorithm / existing subspace clustering algorithms / DBSCAN algorithm / DNA Chip / Gene expression / bottom-up algorithm / Density-Based Algorithm / http / Data Mining / 1.7 GHz processor / SUBCLU algorithm / density-based subspace clustering algorithm / Microarray chip technologies / /SocialTag |