LEADER 01401nam0-2200409---450- 001 990008310640403321 005 20060411110254.0 010 $a88-17-16892-0 035 $a000831064 035 $aFED01000831064 035 $a(Aleph)000831064FED01 035 $a000831064 100 $a20060411d1993----km-y0itay50------ba 101 2 $agrc$aita 102 $aIT 105 $ac---------1yy 200 1 $aVite parallele$fPlutarco$aCoriolano$gIntroduzione e note di Maria Cesa, traduzione e note di Lucia Maria Raffaelli$aAlcibiade$gintroduzione e note di Luisa Prandi, traduzione e note di Lucia Maria Raffaelli$gCon il saggio "Plutarco come lo leggeva Shakespeare" di John Denton e contributi di Barbara Scardigli e Mario Manfredini 205 $a3. ed. 210 $aMilano$cRizzoli$d1993 215 $a467 p.$c1 ritr.$d18 cm 225 1 $aBUR$iClassici greci e latini 300 $aTesto greco a fronte 676 $a883.01 700 0$aPlutarchus$f$0158213 702 1$aDenton,$bJohn 702 1$aPrandi,$bLuisa 702 1$aCesa,$bMaria 702 1$aRaffaelli,$bLucia M. 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008310640403321 952 $aP2B-600-BUR-PLUT.-4103A-2001$bBibl.53224$fFLFBC 959 $aFLFBC 996 $aCoriolano$9745423 996 $aAlcibiade$9745424 996 $aVitae Parallelae$914695 997 $aUNINA LEADER 00885nam0-22003131i-450- 001 990001331750403321 005 20100308111900.0 010 $a0-521-46631-8 035 $a000133175 035 $aFED01000133175 035 $a(Aleph)000133175FED01 035 $a000133175 100 $a20001205d1994----km-y0itay50------ba 101 0 $aeng 200 1 $aSINGULARITIES$eLille 1991$fedited by Jean-Paul Brasselet 210 $aCambridge (UK)$cCambridge University Press$dc1994 215 $axvi, 419 p.$d24 cm 225 1 $aLondon Mathematical Society lecture note series$v201 610 0 $aGeometria$aCongressi 676 $a516.04 702 1$aBrasselet,$bJean-Paul 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001331750403321 952 $aC-9-(201$b12786$fMA1 959 $aMA1 962 $a51-02 996 $aSingularities$9375033 997 $aUNINA LEADER 05596nam 22006495 450 001 996466188103316 005 20200630124043.0 010 $a3-030-37188-3 024 7 $a10.1007/978-3-030-37188-3 035 $a(CKB)4100000010013766 035 $a(MiAaPQ)EBC5997053 035 $a(DE-He213)978-3-030-37188-3 035 $a(PPN)242818560 035 $a(EXLCZ)994100000010013766 100 $a20191212d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBig Data Analytics$b[electronic resource] $e7th International Conference, BDA 2019, Ahmedabad, India, December 17?20, 2019, Proceedings /$fedited by Sanjay Madria, Philippe Fournier-Viger, Sanjay Chaudhary, P. Krishna Reddy 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (466 pages) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v11932 311 $a3-030-37187-5 327 $aBig Data Analytics: Vision and Perspectives -- Transforming Sensing Data into Smart Data for Smart Sustainable Cities -- Deep Learning Models for Medical Image Analysis: Challenges and Future Directions -- Recent Advances and Challenges in design of Non-Goal Oriented Dialogue System -- Data Cube is Dead, Long Life to Data Cube in the Age of Web Data -- Search and Information Extraction -- Improving Result Diversity using Query Term Proximity in Exploratory Search -- Segment-search vs Knowledge Graphs: Making a Keyword Search Engine for Web Documents -- Pairing Users in Social Media via Processing Meta-data from Conversational Files -- Large-Scale Information Extraction from Emails with Data Constraints -- Comparative Analysis of Rule-based, Dictionary-based and Hybrid Stemmers for Gujarati Language -- Predictive Analytics in Medical and Agricultural Domains -- Artificial Intelligence and Bayesian Knowledge Network in Health Care ? Smartphone Apps for diagnosis and differentiation of anemias with higher accuracy at Resource Constrained Point-of-Care settings -- Analyzing Domain Knowledge for Big Data Analysis: A Case Study with Urban Tree Type Classification -- Market Intelligence for Agricultural Commodities using Forecasting and Deep Learning Techniques -- Graph Analytics -- TKG: Efficient Mining of Top-K Frequent Subgraphs -- Why Multilayer Networks Instead Of Simple Graphs? Modeling Effectiveness And Analysis Flexibility & Efficiency! -- Gossip Based Distributed Real Time Task Scheduling with Guaranteed Performance on Heterogeneous Networks -- Data-Driven Optimization of Public Transit Schedule -- Pattern Mining -- Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases -- Efficient Algorithms For Flock Detection in Large Spatio-Temporal Data -- Local Temporal Compression for (Globally) Evolving Spatial Surfaces -- An Explicit Relationship between Sequential Patterns and their Concise Representations -- Machine Learning -- A novel approach to identify the determinants of online review helpfulness and predict the helpfulness score across product categories -- Analysis and Recognition of Hand-drawn Images with Effective Data Handling -- Real Time Static Gesture Detection Using Deep Learning -- Interpreting Context of Images using Scene Graphs -- Deep Learning in the Domain of Near-Duplicate Document Detection. 330 $aThis book constitutes the refereed proceedings of the 7th International Conference on Big Data analytics, BDA 2019, held in Ahmedabad, India, in December 2019. The 25 papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical and agricultural domains; graph analytics; pattern mining; and machine learning. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v11932 606 $aData mining 606 $aArtificial intelligence 606 $aApplication software 606 $aDatabase management 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aDatabase management. 615 14$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aDatabase Management. 676 $a005.7 702 $aMadria$b Sanjay$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFournier-Viger$b Philippe$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChaudhary$b Sanjay$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aReddy$b P. Krishna$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466188103316 996 $aBig data analytics$91523196 997 $aUNISA