LEADER 04661nam 22006614a 450 001 9910144257003321 005 20200520144314.0 010 $a1-280-27454-9 010 $a9786610274543 010 $a0-470-01129-7 010 $a0-470-01128-9 035 $a(CKB)1000000000376851 035 $a(EBL)219779 035 $a(OCoLC)475925907 035 $a(SSID)ssj0000128144 035 $a(PQKBManifestationID)11132174 035 $a(PQKBTitleCode)TC0000128144 035 $a(PQKBWorkID)10063548 035 $a(PQKB)10255727 035 $a(MiAaPQ)EBC219779 035 $a(Au-PeEL)EBL219779 035 $a(CaPaEBR)ebr10113932 035 $a(CaONFJC)MIL27454 035 $a(EXLCZ)991000000000376851 100 $a20040511d2004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aConcept data analysis$b[electronic resource] $etheory and applications /$fClaudio Carpineto, Giovanni Romano 210 $aChichester, England ;$aHoboken, NJ $cWiley$dc2004 215 $a1 online resource (221 p.) 300 $aDescription based upon print version of record. 311 $a0-470-85055-8 320 $aIncludes bibliographical references (p. [175]-195) and index. 327 $aConcept Data Analysis; Contents; Foreword; Preface; I Theory and Algorithms; 1 Theoretical Foundations; 1.1 Basic Notions of Orders and Lattices; 1.2 Context, Concept, and Concept Lattice; 1.3 Many-valued Contexts; 1.4 Bibliographic Notes; 2 Algorithms; 2.1 Constructing Concept Lattices; 2.1.1 Computational space complexity of concept lattices; 2.1.2 Construction of the set of concepts; 2.1.3 Construction of concept lattices; 2.1.4 Construction of partial concept lattices; 2.2 Incremental Lattice Update; 2.2.1 Incremental construction of concept lattices; 2.2.2 Updating the context 327 $a2.2.3 Summary of lattice construction2.3 Visualization; 2.3.1 Hierarchical folders; 2.3.2 Nested line diagrams; 2.3.3 Focus+context views; 2.4 Adding Knowledge to Concept Lattices; 2.4.1 Adding background knowledge to object description; 2.4.2 Pruning concepts with user constraints; 2.5 Bibliographic Notes; II Applications; 3 Information Retrieval; 3.1 Query Modification; 3.1.1 Navigating around the query concept; 3.1.2 Thesaurus-enhanced navigation and querying; 3.1.3 Automatic generation of index terms; 3.2 Document Ranking; 3.2.1 The vocabulary problem; 3.2.2 Concept lattice-based ranking 327 $a3.2.3 Scalability3.3 Bibliographic Notes; 4 Text Mining; 4.1 Mining the Content of the ACM Digital Library; 4.1.1 The ACM Digital Library; 4.1.2 Information retrieval and data view versus text mining; 4.1.3 Constructing the TOIS concept lattice; 4.1.4 Interacting with the TOIS concept lattice; 4.2 Mining Web Retrieval Results with CREDO; 4.2.1 Visualizing Web retrieval results; 4.2.2 Design and implementation of CREDO; 4.2.3 Example sessions; 4.3 Bibliographic Notes; 5 Rule Mining; 5.1 Implications; 5.1.1 Computational space complexity of implications 327 $a5.1.2 Generating implications from the concept lattice5.2 Functional Dependencies; 5.2.1 Functional dependencies as implications of transformed contexts; 5.2.2 Computational space complexity of the concept lattice of transformed contexts; 5.3 Association Rules; 5.3.1 Mining frequent concepts; 5.3.2 Generating confident rules from frequent concepts; 5.4 Classification Rules; 5.5 Bibliographic Notes; References; Index 330 $aWith the advent of the Web along with the unprecedented amount of information available in electronic format, conceptual data analysis is more useful and practical than ever, because this technology addresses important limitations of the systems that currently support users in their quest for information. 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The accompanying website allows 606 $aComputer science$xMathematics 606 $aMachine learning 606 $aInformation retrieval 608 $aElectronic books. 615 0$aComputer science$xMathematics. 615 0$aMachine learning. 615 0$aInformation retrieval. 676 $a004/.01/51 700 $aCarpineto$b Claudio$0931205 701 $aRomano$b Giovanni$0342291 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910144257003321 996 $aConcept data analysis$92094836 997 $aUNINA LEADER 03839nam 22006855 450 001 996466712903316 005 20200703135748.0 010 $a3-540-46971-0 024 7 $a10.1007/BFb0036058 035 $a(CKB)1000000000233508 035 $a(SSID)ssj0000320776 035 $a(PQKBManifestationID)12118215 035 $a(PQKBTitleCode)TC0000320776 035 $a(PQKBWorkID)10249659 035 $a(PQKB)11747684 035 $a(DE-He213)978-3-540-46971-1 035 $a(PPN)155208322 035 $a(EXLCZ)991000000000233508 100 $a20121227d1990 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAccuracy of Element Abundances from Stellar Atmospheres$b[electronic resource] $eProceedings of Two Sessions Allocated at the IAU General Assembly in Baltimore, USA, August 1988 /$fedited by Rainer Wehrse 205 $a1st ed. 1990. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1990. 215 $a1 online resource (V, 109 p. 1 illus.) 225 1 $aLecture Notes in Physics,$x0075-8450 ;$v356 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-52365-0 327 $aOn the accuracy of atomic transition probabilities -- Accuracy of excitation and ionisation cross sections -- Accuracy of line broadening data -- Accuracy of abundances from O to mid B main sequence stars -- The accuracy of abundances from middle B to F main sequence normal stars -- Accuracy of the determination of the abundances in solar type stars -- Problems associated with cool dwarf stars -- Accuracy of abundances from stars in near-by galaxies. 330 $aTo get a reasonably realistic picture of the structure and evolution of stars one needs to know accurately the abundances of chemical elements and their isotopes in the stellar atmosphere and in the galactic environment of the stars. The articles collected in this volume give a modern review of the abundance accuracies for main-sequence stars. After a general introduction in the first part the accuracies of atomic transition probabilities, ionization and excitation cross-sections, and line broad- ening data are discussed. In the second part the specific problems and results for different stellar types are presented, and, finally, an overview on the possibilities of abundance determinations for stars outside the Galaxy is given. 410 0$aLecture Notes in Physics,$x0075-8450 ;$v356 606 $aObservations, Astronomical 606 $aAstronomy?Observations 606 $aAstrophysics 606 $aLasers 606 $aPhotonics 606 $aGeophysics 606 $aAstronomy, Observations and Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/P22014 606 $aAstrophysics and Astroparticles$3https://scigraph.springernature.com/ontologies/product-market-codes/P22022 606 $aOptics, Lasers, Photonics, Optical Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/P31030 606 $aGeophysics/Geodesy$3https://scigraph.springernature.com/ontologies/product-market-codes/G18009 615 0$aObservations, Astronomical. 615 0$aAstronomy?Observations. 615 0$aAstrophysics. 615 0$aLasers. 615 0$aPhotonics. 615 0$aGeophysics. 615 14$aAstronomy, Observations and Techniques. 615 24$aAstrophysics and Astroparticles. 615 24$aOptics, Lasers, Photonics, Optical Devices. 615 24$aGeophysics/Geodesy. 676 $a520 702 $aWehrse$b Rainer$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996466712903316 996 $aAccuracy of Element Abundances from Stellar Atmospheres$92538652 997 $aUNISA LEADER 02089oam 2200577I 450 001 9910711325303321 005 20181228134626.0 035 $a(CKB)5470000002482781 035 $a(OCoLC)958902296 035 $a(OCoLC)995470000002482781 035 $a(EXLCZ)995470000002482781 100 $a20160921d1951 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGeology and water resources of the Santa Ynez River basin, Santa Barbara County, California /$fby J.E. Upson and H.G. Thomasson, Jr 210 1$a[Washington, D.C.] :$cUnited States Department of the Interior, Geological Survey,$d1951. 210 2$aWashington :$cUnited States Government Printing Office. 215 $a1 online resource (vii, 194 pages, 7 pages of plates) $cillustrations, map 225 1 $aGeological Survey water-supply paper ;$v1107 300 $a"Prepared in cooperation with Santa Barbara County." 320 $aIncludes bibliographical references (pages 166-167) and index. 606 $aGeology$zCalifornia$zSanta Barbara County 606 $aWater-supply$zCalifornia$zSanta Barbara County 606 $aWater-supply$zCalifornia$zSanta Ynez River Watershed 606 $aGeology$2fast 606 $aWater-supply$2fast 607 $aCalifornia$zSanta Barbara County$2fast 607 $aCalifornia$zSanta Ynez River Watershed$2fast 615 0$aGeology 615 0$aWater-supply 615 0$aWater-supply 615 7$aGeology. 615 7$aWater-supply. 700 $aUpson$b J. E$g(Joseph Edwin),$f1910-$01408265 702 $aThomasson$b H. 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