00959nam0-22003371--450-99000916650040332120140107085806.0000916650FED01000916650(Aleph)000916650FED0100091665020100330d1967----km-y0itay50------balatfreFRy-------001yy<<La >>GermanieTacitetexte établi et traduit par Jacques PerretParisLes Belles Lettres1967111 p.21 cmCollection des universités de France936.30221itaTacitus,Publius Cornelius<ante ca. 55>5717Perret,JacquesITUNINARICAUNIMARCBK990009166500403321SDI-III B VI980SDIArangio Ruiz C VIII 1370DDRSDIDDRGermanie219302UNINA03287nam 2200673 450 991046131710332120200520144314.01-283-20609-997866132060911-4411-4771-3(CKB)2670000000106319(EBL)742324(OCoLC)741690750(SSID)ssj0000524043(PQKBManifestationID)11342479(PQKBTitleCode)TC0000524043(PQKBWorkID)10543479(PQKB)11338826(MiAaPQ)EBC742324(Au-PeEL)EBL742324(CaPaEBR)ebr10867443(CaONFJC)MIL320609(OCoLC)893335494(EXLCZ)99267000000010631920070526h20062006 uy| 0engur|n|---|||||txtccrManaging higher education in colleges /Gareth Parry, Anne Thompson and Penny BlackieLondon ;New York :Continuum,[2006]©20061 online resource (181 p.)Essential FE toolkit seriesDescription based upon print version of record.0-8264-8846-3 Includes bibliographical references (pages [158]-160) and index.Contents; Acknowledgements; Series foreword; Series introduction; Figures and tables; Introduction; Part One; 1 Changing contexts, changing policies; 2 Overlapping boundaries, diverse patterns; Part Two; 3 Organisational arrangements and responsibilities; 4 Funding: principles and practice; 5 Partnerships and frameworks; 6 Quality assurance, quality enhancement; 7 Working with the curriculum; Part Three; 8 Issues and questions; Appendixes; A: Selected terminology; B: Key funding initiatives and documents; C: Guide to organisations and resources; References; Index; A; E; M; S; V; WIn recent years, further education colleges have been asked to play an increasingly important role as providers of higher education programmes. Following the recommendation of the Dearing inquiry that colleges be accorded a 'special mission' in sub-degree higher education, they have become key partners in the design and teaching of new-style Foundation degrees. In so doing, they are expected to meet employer demand for higher-level skills and broaden the social base of undergraduate education. Aimed at senior managers and higher education coordinators and tutors, this book is a guide to institEssential FE toolkit series.Education, HigherGreat BritainAdministrationContinuing education centersGreat BritainAdministrationUniversity cooperationGreat BritainElectronic books.Education, HigherAdministration.Continuing education centersAdministration.University cooperation378.1040941Parry Gareth1950-906437Blackie PennyThompson AnneDr.,MiAaPQMiAaPQMiAaPQBOOK9910461317103321Managing higher education in colleges2027087UNINA08751nam 22008175 450 991014359740332120200702115021.03-540-45357-110.1007/3-540-45357-1(CKB)1000000000211482(SSID)ssj0000320990(PQKBManifestationID)11937813(PQKBTitleCode)TC0000320990(PQKBWorkID)10262946(PQKB)11752853(DE-He213)978-3-540-45357-4(MiAaPQ)EBC3072807(PPN)155232649(EXLCZ)99100000000021148220121227d2001 u| 0engurnn|008mamaatxtccrAdvances in Knowledge Discovery and Data Mining 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings /edited by David Cheung, Graham J. Williams, Qing Li1st ed. 2001.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2001.1 online resource (XVII, 599 p.) Lecture Notes in Artificial Intelligence ;2035Bibliographic Level Mode of Issuance: Monograph3-540-41910-1 Includes bibliographical references at the end of each chapters and index.Keynote Presentations -- Incompleteness in Data Mining -- Mining E-Commerce Data: The Good, the Bad, and the Ugly -- Seamless Integration of Data Mining with DBMS and Applications -- Web Mining -- Applying Pattern Mining to Web Information Extraction -- Empirical Study of Recommender Systems Using Linear Classifiers -- iJADE eMiner - A Web-Based Mining Agent Based on Intelligent Java Agent Development Environment (iJADE) on Internet Shopping -- A Characterized Rating Recommend System -- Discovery of Frequent Tree Structured Patterns in Semistructured Web Documents -- Text Mining -- Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification -- Predictive Self-Organizing Networks for Text Categorization -- Meta-learning Models for Automatic Textual Document Categorization -- Efficient Algorithms for Concept Space Construction -- Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks -- Automatic Hypertext Construction through a Text Mining Approach by Self-Organizing Maps -- Applications and Tools -- Semantic Expectation-Based Causation Knowledge Extraction: A Study on Hong Kong Stock Movement Analysis -- A Toolbox Approach to Flexible and Efficient Data Mining -- Determining Progression in Glaucoma Using Visual Fields -- Seabreeze Prediction Using Bayesian Networks -- Semi-supervised Learning in Medical Image Database -- On Application of Rough Data Mining Methods to Automatic Construction of Student Models -- Concept Hierarchies -- Concept Approximation in Concept Lattice -- Generating Concept Hierarchies/Networks: Mining Additional Semantics in Relational Data -- Representing Large Concept Hierarchies Using Lattice Data Structure -- Feature Selection -- Feature Selection for Temporal Health Records -- Boosting the Performance of Nearest Neighbour Methods with Feature Selection -- Feature Selection for Meta-learning -- Interestingness -- Efficient Mining of Niches and Set Routines -- Evaluation of Interestingness Measures for Ranking Discovered Knowledge -- Peculiarity Oriented Mining and Its Application for Knowledge Discovery in Amino-Acid Data -- Sequence Mining -- Mining Sequence Patterns from Wind Tunnel Experimental Data for Flight Control -- Scalable Hierarchical Clustering Method for Sequences of Categorical Values -- FFS - An I/O-Efficient Algorithm for Mining Frequent Sequences -- Sequential Index Structure for Content-Based Retrieval -- Spatial and Temporal Mining -- The S 2-Tree: An Index Structure for Subsequence Matching of Spatial Objects -- Temporal Data Mining Using Hidden Markov-Local Polynomial Models -- Patterns Discovery Based on Time-Series Decomposition -- Criteria on Proximity Graphs for Boundary Extraction and Spatial Clustering -- Micro Similarity Queries in Time Series Database -- Association Mining -- Mining Optimal Class Association Rule Set -- Generating Frequent Patterns with the Frequent Pattern List -- User-Defined Association Mining -- Direct and Incremental Computing of Maximal Covering Rules -- Towards Efficient Data Re-mining (DRM) -- Data Allocation Algorithm for Parallel Association Rule Discovery -- Classification and Rule Induction -- Direct Domain Knowledge Inclusion in the PA3 Rule Induction Algorithm -- Hierarchical Classification of Documents with Error Control -- An Efficient Data Compression Approach to the Classification Task -- Combining the Strength of Pattern Frequency and Distance for Classification -- A Scalable Algorithm for Rule Post-pruning of Large Decision Trees -- Optimizing the Induction of Alternating Decision Trees -- Building Behaviour Knowledge Space to Make Classification Decision -- Clustering -- Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions -- A Rough Set-Based Clustering Method with Modification of Equivalence Relations -- Importance of Individual Variables in the k-Means Algorithm -- A Hybrid Approach to Clustering in Very Large Databases -- Advanced Topics and New Methods -- A Similarity Indexing Method for the Data Warehousing - Bit-Wise Indexing Method -- Rule Reduction over Numerical Attributes in Decision Trees Using Multilayer Perceptron -- Knowledge Acquisition from Both Human Expert and Data -- Neighborhood Dependencies for Prediction -- Learning Bayesian Networks with Hidden Variables Using the Combination of EM and Evolutionary Algorithms -- Interactive Construction of Decision Trees -- An Improved Learning Algorithm for Augmented Naive Bayes -- Generalised RBF Networks Trained Using an IBL Algorithm for Mining Symbolic Data.This book constitutes the refereed proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, held in Hong Kong, China in April 2001. The 38 revised full papers and 22 short papers presented were carefully reviewed and selected from a total of 152 submissions. The book offers topical sections on Web mining, text mining, applications and tools, concept hierarchies, feature selection, interestingness, sequence mining, spatial and temporal mining, association mining, classification and rule induction, clustering, and advanced topics and new methods.Lecture Notes in Artificial Intelligence ;2035Data structures (Computer science)Artificial intelligenceInformation storage and retrievalInformation technologyBusiness—Data processingApplication softwareMathematical statisticsData Structures and Information Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/I15009Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032IT in Businesshttps://scigraph.springernature.com/ontologies/product-market-codes/522000Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Probability and Statistics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17036Data structures (Computer science)Artificial intelligence.Information storage and retrieval.Information technology.Business—Data processing.Application software.Mathematical statistics.Data Structures and Information Theory.Artificial Intelligence.Information Storage and Retrieval.IT in Business.Information Systems Applications (incl. Internet).Probability and Statistics in Computer Science.006.3Cheung Davidedthttp://id.loc.gov/vocabulary/relators/edtWilliams Graham Jedthttp://id.loc.gov/vocabulary/relators/edtLi Qingedthttp://id.loc.gov/vocabulary/relators/edtPacific-Asia Conference on Knowledge Discovery and Data MiningBOOK9910143597403321Advances in Knowledge Discovery and Data Mining772012UNINA03558nam 22005895 450 991030018400332120200702081228.03-662-45444-010.1007/978-3-662-45444-2(CKB)3710000000342582(EBL)1966131(SSID)ssj0001424473(PQKBManifestationID)11801993(PQKBTitleCode)TC0001424473(PQKBWorkID)11383625(PQKB)10981128(DE-He213)978-3-662-45444-2(MiAaPQ)EBC1966131(PPN)183517490(EXLCZ)99371000000034258220150121d2015 u| 0engur|n|---|||||txtccrFace Transplantation Principles, Techniques and Artistry /by Juan P. Barret, Veronica Tomasello1st ed. 2015.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2015.1 online resource (156 p.)Description based upon print version of record.3-662-45443-2 Includes bibliographical references.Introduction and Background -- History of the Face Transplantation -- Composite Tissue Allotransplantation (CTA) -- Indications of Facial Transplantation -- Evaluation of the Candidate for Facial Transplantation -- Evaluation of Donors -- Legal, Ethical and Psychological Issues in Facial Transplantation -- Face as an Organ: Functional Anatomy -- Types of Face Transplants -- Requirements for a Multidisciplinary Team -- Surgical Technique of Facial Transplantation -- Immunological Issues and Immunomodulation -- An Overview of the World`s Global Experience.This book brings together all the relevant available science behind face transplants. It is comprehensive in its coverage, encompassing patient and donor evaluation, ethics, legal issues, psychological issues, types of transplant, surgical technique, issues relating to immunosuppression, follow-up protocols, and current outcomes. Facial transplantation, which allows the replacement of missing anatomy with a perfect match based on transplant medicine principles, has become the most striking innovation in plastic surgery of the twenty-first century as surgeons and scientists progress from reconstructive surgery to restorative surgery. A robust team approach is, however, necessary to produce safe and efficient outcomes, and numerous questions are arising, from technical issues to ethical dilemmas. The reader will discover in this volume all the information required in order to understand this new discipline and to be able to set up a program of facial transplantation.Surgery, PlasticTransplantation of organs, tissues, etcPlastic Surgeryhttps://scigraph.springernature.com/ontologies/product-market-codes/H59087Transplant Surgeryhttps://scigraph.springernature.com/ontologies/product-market-codes/H59117Surgery, Plastic.Transplantation of organs, tissues, etc.Plastic Surgery.Transplant Surgery.610617952617954Barret Juan Pauthttp://id.loc.gov/vocabulary/relators/aut1061666Tomasello Veronicaauthttp://id.loc.gov/vocabulary/relators/autBOOK9910300184003321Face Transplantation2519591UNINA