LEADER 02875nam 2200661 a 450 001 9910454146203321 005 20200520144314.0 010 $a0-8166-6155-3 035 $a(CKB)1000000000689896 035 $a(EBL)345426 035 $a(OCoLC)234379906 035 $a(SSID)ssj0000159431 035 $a(PQKBManifestationID)11155232 035 $a(PQKBTitleCode)TC0000159431 035 $a(PQKBWorkID)10158041 035 $a(PQKB)11203666 035 $a(SSID)ssj0000360366 035 $a(PQKBManifestationID)11278984 035 $a(PQKBTitleCode)TC0000360366 035 $a(PQKBWorkID)10318899 035 $a(PQKB)11602574 035 $a(MiAaPQ)EBC345426 035 $a(MdBmJHUP)muse39172 035 $a(Au-PeEL)EBL345426 035 $a(CaPaEBR)ebr10231149 035 $a(CaONFJC)MIL525890 035 $a(EXLCZ)991000000000689896 100 $a20721128d1972 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFrontiers in comparative medicine$b[electronic resource] /$f[by] W.I.B. Beveridge ; foreword by Robert A. Good 210 $aMinneapolis $cUniversity of Minnesota Press$d[1972] 215 $a1 online resource (105 p.) 225 1 $aThe Wesley W. Spink lectures on comparative medicine ;$vv. 1 300 $aDescription based upon print version of record. 311 $a0-8166-6837-X 311 $a0-8166-0643-9 320 $aIncludes bibliographical references (p. 95-98) and index. 327 $aCONTENTS; FOREWORD; INTRODUCTION; 1 THE LOGIC OF THE COMPARATIVE METHOD; 2 ANIMAL MODELS OF HUMAN DISEASES; 3 COMPARATIVE STUDY OF INFLUENZA; ABOUT THE AUTHOR; REFERENCES; INDEX 330 $aFrontiers in Comparative Medicine was first published in 1972. In this initial volume of the series to be based on the Wesley W. Spink Lectures on Comparative Medicine, Dr. Beveridge, the noted British scientist, discusses the contributions to human medicine resulting from studies of disease in animals. The book serves as an excellent introduction to this important aspect of science, suitable for general readers as well as for those studying or working in the medical, biological, or social sciences. Dr. Beveridge examines the methodology of comparative science and tells of the remarkable serie 410 0$aWesley W. Spink lectures on comparative medicine ;$vv. 1. 606 $aPathology, Comparative 606 $aMedicine, Comparative 608 $aElectronic books. 615 0$aPathology, Comparative. 615 0$aMedicine, Comparative. 676 $a619 700 $aBeveridge$b W. I. 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A New Approach in the Data Credibility Analysis -- FuzzyPR: An Effective Passage Retrieval System for QAS -- Clustering -- Parallel Artificial Immune Clustering Algorithm Based on Granular Computing -- C-DBSCAN: Density-Based Clustering with Constraints -- A New Cluster Based Fuzzy Model Tree for Data Modeling -- Parameter Tuning for Disjoint Clusters Based on Concept Lattices with Application to Location Learning -- Text and Web Mining -- Web Document Classification Based on Rough Set -- Transformation of Suffix Arrays into Suffix Trees on the MPI Environment -- Clustering High Dimensional Data Using SVM -- Learning, Data Mining and Rough Classifiers -- Constructing Associative Classifier Using Rough Sets and Evidence Theory -- Evaluation Method for Decision Rule Sets -- On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems: Part 2 -- Neonatal Infection Diagnosis Using Constructive Induction in Data Mining -- Two Families of Classification Algorithms -- Constructing Associative Classifiers from Decision Tables -- Evaluating Importance of Conditions in the Set of Discovered Rules -- Constraint Based Action Rule Discovery with Single Classification Rules -- Data Confidentiality Versus Chase -- Relationship Between Loss Functions and Confirmation Measures -- High Frequent Value Reduct in Very Large Databases -- A Weighted Rough Set Approach for Cost-Sensitive Learning -- Jumping Emerging Pattern Induction by Means of Graph Coloring and Local Reducts in Transaction Databases -- Visualization of Rough Set Decision Rules for Medical Diagnosis Systems -- Attribute Generalization and Fuzziness in Data Mining Contexts -- A Hybrid Method for Forecasting Stock Market Trend Using Soft-Thresholding De-noise Model and SVM -- Granular Computing -- Attribute Granules in Formal Contexts -- An Incremental Updating Algorithm for Core Computing in Dominance-Based Rough Set Model -- A Ranking Approach with Inclusion Measure in Multiple-Attribute Interval-Valued Decision Making -- Granulations Based on Semantics of Rough Logical Formulas and Its Reasoning -- A Categorial Basis for Granular Computing -- Granular Sets ? Foundations and Case Study of Tolerance Spaces -- Soft Computing in Multimedia Processing -- Unusual Activity Analysis in Video Sequences -- Task-Based Image Annotation and Retrieval -- Improvement of Moving Image Quality on AC-PDP by Rough Set Based Dynamic False Contour Reduction -- Image Digital Watermarking Technique Based on Kernel Independent Component Analysis -- Image Pattern Recognition Using Near Sets -- Robotic Target Tracking with Approximation Space-Based Feedback During Reinforcement Learning -- Soft Computing Applications -- Web Based Health Recommender System Using Rough Sets, Survival Analysis and Rule-Based Expert Systems -- RBF Neural Network Implementation of Fuzzy Systems: Application to Time Series Modeling -- Selecting Samples and Features for SVM Based on Neighborhood Model -- Intelligent Decision Support Based on Influence Diagrams with Rough Sets -- Object Class Recognition Using SNoW with a Part Vocabulary -- Coverage in Biomimetic Pattern Recognition -- A Texture-Based Algorithm for Vehicle Area Segmentation Using the Support Vector Machine Method -- Rough and Complex Concepts -- The Study of Some Important Theoretical Problems for Rough Relational Database -- Interval Rough Mereology for Approximating Hierarchical Knowledge -- Description Logic Framework for Access Control and Security in Object-Oriented Systems -- Rough Neural Networks for Complex Concepts. 330 $aThis volume contains the papers selected for presentation at the 11th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2007), a part of the Joint Rough Set Symposium (JRS 2007) organized by Infobright Inc. and York University. JRS 2007 was held for the ?rst time during May 14?16, 2007 in MaRS Discovery District, Toronto, Canada. It consisted of two conferences: RSFDGrC 2007 and the Second Int- national Conference on Rough Sets and Knowledge Technology (RSKT 2007). The two conferences that constituted JRS 2007 investigated rough sets as an emerging methodology established more than 25 years ago by Zdzis law Pawlak. Roughsettheoryhasbecomeanintegralpartofdiversehybridresearchstreams. In keeping with this trend, JRS 2007 encompassed rough and fuzzy sets, kno- edgetechnologyanddiscovery,softandgranularcomputing,dataprocessingand mining, while maintaining an emphasis on foundations and applications. RSFDGrC 2007 followed in the footsteps of well-established international initiatives devoted to the dissemination of rough sets research, held so far in Canada, China, Japan, Poland, Sweden, and the USA. RSFDGrC was ?rst - ganized as the 7th International Workshop on Rough Sets, Data Mining and Granular Computing held in Yamaguchi, Japan in 1999. Its key feature was to stress the role of integrating intelligent information methods to solve real-world, large, complex problems concerned with uncertainty and fuzziness. RSFDGrC achieved the status of a bi-annual international conference, starting from 2003 in Chongqing, China. 410 0$aLecture Notes in Artificial Intelligence ;$v4482 606 $aComputers 606 $aArtificial intelligence 606 $aData mining 606 $aDatabase management 606 $aMathematical logic 606 $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 615 0$aComputers. 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aDatabase management. 615 0$aMathematical logic. 615 14$aTheory of Computation. 615 24$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aDatabase Management. 615 24$aMathematical Logic and Formal Languages. 615 24$aComputation by Abstract Devices. 676 $a006.3 702 $aAn$b Aijun$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aStefanowski$b Jerzy$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRamanna$b Sheela$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aButz$b Cory$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPedrycz$b Witold$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466243003316 996 $aRough Sets, Fuzzy Sets, Data Mining and Granular Computing$9772384 997 $aUNISA