LEADER 00815nam0-22002891i-450- 001 990001007230403321 005 20040712165311.0 035 $a000100723 035 $aFED01000100723 035 $a(Aleph)000100723FED01 035 $a000100723 100 $a20020001d--------km-y0itay50------ba 101 0 $aeng 200 1 $aAlgebra, applied to physics and systems theory$fRobert Hermann 210 $aParis$cHermann$d1973 225 1 $aInterdisciplinary Mathematics 610 0 $aFisica matematica 610 0 $aFisica teorica 676 $a530 700 1$aHermann,$bRobert$0346495 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001007230403321 952 $a20-085.002F$b9648$fFI1 959 $aFI1 996 $aAlgebra, applied to physics and systems theory$9354904 997 $aUNINA LEADER 04095nam 22007335 450 001 9910484698803321 005 20251113210046.0 010 $a981-336-656-7 024 7 $a10.1007/978-981-33-6656-5 035 $a(PPN)27450636X 035 $a(CKB)4100000011954741 035 $a(MiAaPQ)EBC6639197 035 $a(Au-PeEL)EBL6639197 035 $a(OCoLC)1256541759 035 $a(DE-He213)978-981-33-6656-5 035 $a(EXLCZ)994100000011954741 100 $a20210608d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplied Advanced Analytics $e6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence /$fedited by Arnab Kumar Laha 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (236 pages) 225 1 $aSpringer Proceedings in Business and Economics,$x2198-7254 311 08$a981-336-655-9 327 $aData Streams -- Robust Statistics -- Explainable Artificial Intelligence Model: Analysis of Neural Network Parameters -- Mitigating Agricultural Lending Risk: An Advanced Analytical Approach. 330 $aThis book covers several new areas in the growing field of analytics with some innovative applications in different business contexts. The book is conceptually divided in seven parts. The first part gives expository briefs on some topics of current academic and practitioner interests, such as data streams, binary prediction and reliability shock models. In the second part, the contributions look at artificial intelligence applications with chapters related to explainable AI, personalized search and recommendation, and customer retention management. The third part deals with credit risk analytics, with chapters on optimization of credit limits and mitigation of agricultural lending risks. In its fourth part, the book explores analytics and data mining in the retail context. In the fifth part, the book presents some applications of analytics to operations management. This part has chapters related to improvement of furnace operations, forecasting food indices and analytics for improving student learning outcomes. The sixth part has contributions related to adaptive designs in clinical trials, stochastic comparisons of systems with heterogeneous components and stacking of models. The seventh and final part contains chapters related to finance and economics topics, such as role of infrastructure and taxation on economic growth of countries and connectedness of markets with heterogenous agents, The different themes ensure that the book would be of great value to practitioners, post-graduate students, research scholars and faculty teaching advanced business analytics courses. 410 0$aSpringer Proceedings in Business and Economics,$x2198-7254 606 $aOperations research 606 $aBusiness$xData processing 606 $aBusiness information services 606 $aBusiness enterprises$xFinance 606 $aManagement 606 $aStatistics 606 $aOperations Research and Decision Theory 606 $aBusiness Analytics 606 $aIT in Business 606 $aCorporate Finance 606 $aManagement 606 $aApplied Statistics 615 0$aOperations research. 615 0$aBusiness$xData processing. 615 0$aBusiness information services. 615 0$aBusiness enterprises$xFinance. 615 0$aManagement. 615 0$aStatistics. 615 14$aOperations Research and Decision Theory. 615 24$aBusiness Analytics. 615 24$aIT in Business. 615 24$aCorporate Finance. 615 24$aManagement. 615 24$aApplied Statistics. 676 $a658.4038011 702 $aLaha$b Arnab Kumar 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484698803321 996 $aApplied Advanced Analytics$92066631 997 $aUNINA LEADER 05473nam 2200649Ia 450 001 9910222210303321 005 20200520144314.0 010 $a1-136-57085-3 010 $a1-136-57086-1 010 $a1-280-47624-9 010 $a9786610476244 010 $a600-00-0044-8 010 $a1-84977-060-3 035 $a(CKB)1000000000242767 035 $a(EBL)542919 035 $a(OCoLC)642662098 035 $a(MiAaPQ)EBC542919 035 $a(schport)gibson_crkn/2009-12-01/3/405826 035 $a(EXLCZ)991000000000242767 100 $a20040610d2004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBlue genes $esharing and conserving the world's aquatic biodiversity /$fDavid Greer and Brian Harvey 210 $aLondon ;$aSterling, VA $cEarthscan ;$aOttawa $cInternational Development Research Centre$d2004 215 $a1 online resource (245 p.) 300 $aDescription based upon print version of record. 311 08$a1-84407-105-7 320 $aIncludes bibliographical references and index. 327 $aBlue Genes: Sharing and Conserving the World's Aquatic Biodiversity; Copyright; Contents; List of Photographs, Figures and Boxes; Preface; Acknowledgements; List of Acronyms and Abbreviations; Overview; A Note on the Case Studies; Chapter 1The Gene Rush: Finding New Value in Aquatic Biodiversity; Why is genetic diversity so important?; The blue revolution: Unlocking the secrets of aquatic genetic resources; Expanding commercial uses for aquatic genetic resources; Indigenous views on valuing nature 327 $aCase study 1. The law of unintended consequences: Conserving the ornamental fish industry in Barcelos, BrazilChapter 2Managing Aquatic Genetic Resources: Tools and Policy Gaps; Conserving aquatic genetic diversity - still a new idea for fisheries management; Banking blue genes: Collections of aquatic genetic resources; Access to aquatic genetic resources collections; Managing aquatic genetic resources: Filling the policy vacuum; Global initiatives for improved management of aquatic biodiversity 327 $aCase study 2. No policy, no access? A salmon farmer's frustrated efforts to collect genetically pure broodstockChapter 3Whose to Share? Ownership and Control of Aquatic Resources; Ownership of aquatic genetic resources: Agreements and claims; The price of invention: Intellectual property law and aquatic genetic resources; Who owns traditional knowledge?; Biopiracy: Plain dealing or patent theft?; Case study 3. An indigenous community says no: Negotiating access to charr broodstock in northern Canada; Chapter 4Thinking Locally: Rights of Indigenous and Local Communities 327 $aTraditional community practices and biodiversity conservationIndigenous views on the collection and use of aquatic genetic resources: A workshop in Canada; The knowledge knot: Traditional knowledge and access to aquatic genetic resources; No knowledge, no benefits? The shortcomings of Article 8(j); Case study 4. Genetic improvement of framed tilapia: Lessons from the GIFT project; Chapter 5Acting Globally: National Laws on Access to Aquatic Resources; The collector's conundrum: What's the law?; Fine-tuning the CBD: The Bonn Guidelines; National and regional approaches to access laws 327 $aComparative analysis: How the new laws deal with access to genetic resources in communitiesMaking benefit sharing work: Responsibilities of industrial countries; Using fisheries certification to support access laws; Case study 5. Community rights vs research chill: The Philippine experience with access and benefit-sharing legislation; Chapter 6Results that Count: Meaningful Benefits for Fishing Communities; Blue gold or fools' gold? Prospects for benefit sharing; Sharing benefits fairly with communities; A handout or a hand up? Royalties vs non-monetary benefits 327 $aLinking sustainable livelihoods to conservation 330 $aThe advance of genetic sciences has led to a 'blue revolution' in the way we use aquatic biodiversity. By 2020, the world will be eating almost as much farmed as wild fish, marine bacteria could yield the cure for cancer and deep-sea bacteria may be exploited to gobble up oil spills. Science is moving ahead at a staggering speed, and the demand for genetic resources is growing rapidly - yet governance and policy lag far behind. This groundbreaking work is the first to look at the ownership, governance and trade in aquatic genetic resources. Blue Genes describes the growing demand for aquatic g 606 $aAquatic biodiversity conservation$xGovernment policy 606 $aAquatic germplasm resources conservation$xGovernment policy 606 $aAquatic biodiversity$xEconomic aspects 606 $aAquatic germplasm resources$xEconomic aspects 615 0$aAquatic biodiversity conservation$xGovernment policy. 615 0$aAquatic germplasm resources conservation$xGovernment policy. 615 0$aAquatic biodiversity$xEconomic aspects. 615 0$aAquatic germplasm resources$xEconomic aspects. 676 $a333.95/16/0916 676 $a333.95616 700 $aGreer$b David$g(David Seton)$0191550 701 $aHarvey$b Brian J$0277228 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910222210303321 996 $aBlue genes$94195262 997 $aUNINA