LEADER 02288cam0-22007811i-450- 001 990000857050403321 005 20120927124727.0 010 $a88-13-34211-X 035 $a000085705 035 $aFED01000085705 035 $a(Aleph)000085705FED01 035 $a000085705 100 $a20020821d1976----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aEsercizi e complementi di analisi matematica$fGiuseppe Zwirner 205 $aNuova ed. 210 $aPadova$cCedam$d1976 215 $a2 v.$d24 cm 610 0 $aAnalisi matematica 1$aEsercizi 610 0 $aAnalisi matematica 2$aEsercizi 676 $a515 676 $a515.076 700 1$aZwirner,$bGiuseppe$02130 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000857050403321 952 $a02 1 C 51$b4130$fFINBN 952 $a02 1 C 46$b4125$fFINBN 952 $a02 1 C 48$b4127$fFINBN 952 $a02 1 C 54$b4133$fFINBN 952 $a02 1 C 49$b4128$fFINBN 952 $a02 1 C 52$b4131$fFINBN 952 $a02 1 C 53$b4132$fFINBN 952 $a02 1 C 47$b4126$fFINBN 952 $a02 1 C 45$b4124$fFINBN 952 $a02 1 C 50$b4129$fFINBN 952 $a132-B-10-(2$b12100$fMA1 952 $a132-B-10-(1$b12098$fMA1 952 $a132-B-11-(1$b12099$fMA1 952 $a132-B-11-(2$b12101$fMA1 952 $a02 1 C 39$b4118$fFINBN 952 $a02 1 C 43$b4122$fFINBN 952 $a02 1 C 42$b4121$fFINBN 952 $a02 1 C 35$b4114$fFINBN 952 $a02 1 C 40$b4119$fFINBN 952 $a02 1 C 41$b4120$fFINBN 952 $a02 1 C 37$b4116$fFINBN 952 $a02 1 C 38$b4117$fFINBN 952 $a02 1 C 36$b4115$fFINBN 952 $a02 1 C 44$b4123$fFINBN 952 $a13 A 12 13$b2381$fFINBC 952 $a13 H 35 13$b2380$fFINBC 952 $a13 H 35 12$b33699$fFINBC 952 $a13 H 34 28$b33052/2$fFINBC 952 $a13 01 20$b33052/2$fFINBC 952 $a13 K 04 12$b33051$fFINBC 952 $a13 H 24 02$b8533$fFINBC 952 $aDCH-000-77$fDCH 952 $aDCH-000-76$fDCH 959 $aFINBN 959 $aDCH 959 $aMA1 959 $aFINBC 962 $a26-01 996 $aEsercizi e complementi di analisi matematica$951620 997 $aUNINA LEADER 05143nam 2200673 450 001 996465381703316 005 20210625220746.0 010 $a3-540-77485-8 024 7 $a10.1007/978-3-540-77485-3 035 $a(CKB)1000000000490279 035 $a(SSID)ssj0000316080 035 $a(PQKBManifestationID)11233615 035 $a(PQKBTitleCode)TC0000316080 035 $a(PQKBWorkID)10263860 035 $a(PQKB)10938087 035 $a(DE-He213)978-3-540-77485-3 035 $a(MiAaPQ)EBC4976481 035 $a(MiAaPQ)EBC6408088 035 $a(Au-PeEL)EBL4976481 035 $a(CaONFJC)MIL134514 035 $a(OCoLC)1024280271 035 $a(PPN)123731852 035 $a(EXLCZ)991000000000490279 100 $a20210310d2007 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aAdvances in web mining and web usage analysis $e8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006, Philadelphia, PA, USA, August 20, 2006 : revised papers /$fOlfa Nasraoui (ed.) 205 $a1st ed. 2007. 210 1$aBerlin, Germany ;$aNew York, New York :$cSpringer,$d[2007] 210 4$dİ2007 215 $a1 online resource (XII, 252 p.) 225 1 $aLecture notes in computer science ;$v4811 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-77484-X 320 $aIncludes bibliographical references and index. 327 $aAdaptive Website Design Using Caching Algorithms -- Incorporating Usage Information into Average-Clicks Algorithm -- Nearest-Biclusters Collaborative Filtering with Constant Values -- Fast Categorization of Web Documents Represented by Graphs -- Leveraging Structural Knowledge for Hierarchically-Informed Keyword Weight Propagation in the Web -- How to Define Searching Sessions on Web Search Engines -- Incorporating Concept Hierarchies into Usage Mining Based Recommendations -- A Random-Walk Based Scoring Algorithm Applied to Recommender Engines -- Towards a Scalable kNN CF Algorithm: Exploring Effective Applications of Clustering -- Detecting Profile Injection Attacks in Collaborative Filtering: A Classification-Based Approach -- Predicting the Political Sentiment of Web Log Posts Using Supervised Machine Learning Techniques Coupled with Feature Selection -- Analysis of Web Search Engine Query Session and Clicked Documents -- Understanding Content Reuse on the Web: Static and Dynamic Analyses. 330 $aThis book contains the postworkshop proceedings with selected revised papers from the 8th international workshop on knowledge discovery from the Web, WEBKDD 2006. The WEBKDD workshop series has taken place as part of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) since 1999. The discipline of data mining delivers methodologies and tools for the analysis of large data volumes and the extraction of comprehensible and non-trivial insights from them. Web mining, a much younger discipline, concentrates on the analysis of data pertinent to the Web. Web mining methods are applied on usage data and Web site content; they strive to improve our understanding of how the Web is used, to enhance usability and to promote mutual satisfaction between e-business venues and their potential customers. In the last few years, the interest for the Web as a medium for communication, interaction and business has led to new challenges and to intensive, dedicated research. Many of the infancy problems in Web mining have been solved by now, but the tremendous potential for new and improved uses, as well as misuses, of the Web are leading to new challenges. The theme of the Web KDD 2006 workshop was ?Knowledge Discovery on the Web?, encompassing lessons learned over the past few years and new challenges for the years to come. While some of the infancy problems of Web analysis have been solved and proposed methodologies have reached maturity, the reality posed new challenges: The Web is evolving constantly; sites change and user preferences drift. And, most of all, a Web site is more than a see-and-click medium; it is a venue where a user interacts with a site owner or with other users, where group behavior is exhibited, communities are formed and experiences are shared. 410 0$aLecture notes in computer science.$pLecture notes in artificial intelligence. 410 0$aLecture notes in computer science ;$v4811. 517 3 $aEighth International Workshop on Knowledge Discovery on the Web 517 3 $a8th International Workshop on Knowledge Discovery on the Web 517 3 $aInternational Workshop on Knowledge Discovery on the Web 517 3 $aWebKDD 2006 606 $aInternet users$vCongresses 606 $aWeb usage mining$vCongresses 615 0$aInternet users 615 0$aWeb usage mining 676 $a006.3 702 $aNasraoui$b Olfa$f1968- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465381703316 996 $aAdvances in Web Mining and Web Usage Analysis$9772002 997 $aUNISA LEADER 03727nam 22006852 450 001 9910781938803321 005 20160512153636.0 010 $a1-139-17964-0 010 $a1-107-22651-1 010 $a1-283-38249-0 010 $a9786613382498 010 $a1-139-18937-9 010 $a0-511-73445-X 010 $a1-139-18807-0 010 $a1-139-19067-9 010 $a1-139-18345-1 010 $a1-139-18576-4 035 $a(CKB)2550000000075539 035 $a(EBL)807311 035 $a(OCoLC)774696886 035 $a(SSID)ssj0000570667 035 $a(PQKBManifestationID)11358026 035 $a(PQKBTitleCode)TC0000570667 035 $a(PQKBWorkID)10592940 035 $a(PQKB)10358567 035 $a(UkCbUP)CR9780511734458 035 $a(MiAaPQ)EBC807311 035 $a(Au-PeEL)EBL807311 035 $a(CaPaEBR)ebr10521002 035 $a(CaONFJC)MIL338249 035 $a(PPN)261321447 035 $a(EXLCZ)992550000000075539 100 $a20100319d2011|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFundamentals of numerical weather prediction /$fJean Coiffier ; translated by Christopher Sutcliffe$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2011. 215 $a1 online resource (xxi, 340 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a1-107-00103-X 320 $aIncludes bibliographical references and index. 327 $aMachine generated contents note: Foreword to the French edition; Foreword to the English edition; Preface; Acknowledgements; List of symbols; 1. Half a century of numerical weather prediction; 2. Weather prediction equations; 3. Finite differences; 4. Spectral methods; 5. The effects of discretization; 6. Barotropic models; 7. Baroclinic model equations; 8. Some baroclinic models; 9. Physical parameterizations; 10. Operational forecasting; Appendix A. Examples of non-hydrostatic models; Further reading; References; Index. 330 $aNumerical models have become essential tools in environmental science, particularly in weather forecasting and climate prediction. This book provides a comprehensive overview of the techniques used in these fields, with emphasis on the design of the most recent numerical models of the atmosphere. It presents a short history of numerical weather prediction and its evolution, before describing the various model equations and how to solve them numerically. It outlines the main elements of a meteorological forecast suite, and the theory is illustrated throughout with practical examples of operational models and parameterizations of physical processes. This book is founded on the author's many years of experience, as a scientist at Me?te?o-France and teaching university-level courses. It is a practical and accessible textbook for graduate courses and a handy resource for researchers and professionals in atmospheric physics, meteorology and climatology, as well as the related disciplines of fluid dynamics, hydrology and oceanography. 606 $aNumerical weather forecasting 606 $aWeather forecasting$xMathematical models 615 0$aNumerical weather forecasting. 615 0$aWeather forecasting$xMathematical models. 676 $a551.63/4 686 $aSCI042000$2bisacsh 700 $aCoiffier$b Jean$01498667 702 $aSutcliffe$b Christopher 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910781938803321 996 $aFundamentals of numerical weather prediction$93724301 997 $aUNINA