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Andre 210 $aBeaune$c[s.n.]$d1881 215 $a917 p., 46 tv. col.$d25 cm 461 0$1001000203946$12001$aSpecies des Hymenopteres d'Europe et d'Algerie$v2 610 0 $aImenotteri 610 0 $aVespidae 610 0 $aFormicidae 676 $a595.79 700 1$aAndré,$bEdmond$0360533 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990002039480403321 952 $a61 V D.5/12.02$b2685$fDAGEN 959 $aDAGEN 996 $aGuêpes$9407782 996 $aFourmis$9407781 997 $aUNINA LEADER 01378nam 2200493 450 001 9910160286103321 005 20211006031148.0 010 $a9781119050650 035 $a(CKB)3710000001024820 035 $a(MiAaPQ)EBC4790372 035 $a(Au-PeEL)EBL4790372 035 $a(CaPaEBR)ebr11332863 035 $a(CaONFJC)MIL989112 035 $a(OCoLC)970636117 035 $a(EXLCZ)993710000001024820 100 $a20170206h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aBecoming a critically reflective teacher /$fStephen Brookfield 205 $aSecond edition. 210 1$aSan Francisco, [California] :$cJossey-Bass,$d2017. 210 4$d©2017 215 $axvi, 286 p. ;$d24 cm 311 $a1-119-049 311 $a1-119-050 320 $aIncludes bibliographical references and index. 330 $atest 606 $aCollege teaching 606 $aCritical thinking 608 $aElectronic books. 615 0$aCollege teaching. 615 0$aCritical thinking. 676 $a378.1/25 700 $aBrookfield$b Stephen$0616610 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910160286103321 996 $aBecoming a critically reflective teacher$92467005 997 $aUNINA LEADER 00846nem 2200325 n 450 001 9910791640403321 005 20200520144314.0 035 $a(CKB)2560000000056772 035 $a(MiAaPQ)EBC3329307 035 $a(Au-PeEL)EBL3329307 035 $a(CaPaEBR)ebr5008839 035 $a(OCoLC)842962332 035 $a(EXLCZ)992560000000056772 100 $a20101210d1999 uy 101 0 $aeng 135 $aurcn||||||||| 200 00$aSamoa$b[electronic resource] 210 $a[S.l.] $cMaps.com$dc1999 215 $a1 online resource (1 map) 517 3 $aPolitical map, Pacific Islands, Samoa 607 $aSamoa$vMaps 607 $aSamoa 712 02$aMaps.com (Firm) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910791640403321 996 $aSamoa$93748045 997 $aUNINA LEADER 06769nam 22005655 450 001 9910337848103321 005 20251113192256.0 010 $a3-030-06222-8 024 7 $a10.1007/978-3-030-06222-4 035 $a(CKB)4100000008339428 035 $a(MiAaPQ)EBC5781521 035 $a(DE-He213)978-3-030-06222-4 035 $a(PPN)236524941 035 $a(EXLCZ)994100000008339428 100 $a20190530d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBusiness and Consumer Analytics: New Ideas /$fedited by Pablo Moscato, Natalie Jane de Vries 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (1,000 pages) 300 $aIncludes index. 311 08$a3-030-06221-X 327 $a1 Marketing meets Data Science: Bridging the gap -- 2 Consumer behaviour and marketing fundamentals for business data analytics -- 3 Introducing Clustering with a focus in Marketing and Consumer Analytics -- 4 An Introduction to Proximity Graphs -- 5 Clustering consumers and cluster-specific behavioural models -- 6 Frequent Itemset Mining -- 7 Business Network Analytics: From Graphs to Supernetworks -- 8 Centrality in networks: Finding the most important nodes -- 9 Overlapping communities in co-purchasing and social interaction graphs: a memetic approach -- 10 Taming a Graph Hairball: Local Exploration in a Global Context -- 11 Network-based models for social recommender systems -- 12 Using Network Alignment to Identify Consumer Behaviour Modeling Constructs -- 13 Memetic Algorithms for Business Analytics and Data Science: A Brief Survey -- 14 A Memetic Algorithm for the Team Orienteering Problem -- 15 A Memetic Algorithm for Competitive Facility Location Problems -- 15 Visualizing Products and Consumers: A Gestalt Theory inspired method -- 16 Visualizing Products and Consumers: A Gestalt Theory inspired method -- 17 An overview of Meta-Analytics: The Promise of Unifying Metaheuristics and Analytics -- 18 From Ensemble Learning to Meta-Analytics: A Review on Trends in Business Applications -- 19 Metaheuristics and Classifier Ensembles -- 20 A Multi-objective Meta-Analytic Method for Customer Churn Prediction -- 21 Hotel classification using meta-analytics: a case study with cohesive clustering -- 22 Fuzzy clustering in travel and tourism analytics -- 23 Towards Personalized Data-Driven Bundle Design with QoS Constraint -- 24 A fuzzy evaluation of tourism sustainability -- 25 New Ideas in ranking for Personalised Fashion Recommender Systems -- 26 Datasets for Business and Consumer Analytics -- . 330 $aThis two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a commonunderstanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook. 606 $aComputer networks 606 $aBusiness information services 606 $aComputer science$xMathematics 606 $aDiscrete mathematics 606 $aComputer Communication Networks 606 $aBusiness Information Systems 606 $aDiscrete Mathematics in Computer Science 615 0$aComputer networks. 615 0$aBusiness information services. 615 0$aComputer science$xMathematics. 615 0$aDiscrete mathematics. 615 14$aComputer Communication Networks. 615 24$aBusiness Information Systems. 615 24$aDiscrete Mathematics in Computer Science. 676 $a658.834 676 $a658.8342 702 $aMoscato$b Pablo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $ade Vries$b Natalie Jane$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910337848103321 996 $aBusiness and Consumer Analytics: New Ideas$92518655 997 $aUNINA