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[null,"1.","Record Nr.",null,"UNISALENTO991001624219707536"]
[null,null,"Autore",null,"McGann, Jerome"]
[null,null,"Titolo",null,"La letteratura dopo il World Wide Web : il testo letterario nell'era digitale /Jerome McGann ; edizione italiana a cura di Dino Buzzetti"]
[null,null,"Pubbl/distr/stampa",null,"Bologna : Bononia Universiy Press, 2002"]
[null,null,"ISBN",null,"8873950078"]
[null,null,"Descrizione fisica",null,"XVI, 289 p. ; 22 cm"]
[null,null,"Collana",null,"Biblioteca [Bononia Universiy Press] ; 4"]
[null,null,"Disciplina",null,"801.9"]
[null,null,"Soggetti",null,"Elaboratori elettronici - Impiego nelle scienze umane"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910557129303321"]
[null,null,"Autore",null,"Drake Henrik"]
[null,null,"Titolo",null,"Tracking the Deep Biosphere through Time"]
[null,null,"Pubbl/distr/stampa",null,"Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021"]
[null,null,"Descrizione fisica",null,"1 online resource (168 p.)"]
[null,null,"Soggetti",null,"Research & information: general"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Deep biosphere research is at the scientific frontier of bio- and geo-related sciences, yet it is largely underexplored. In terms of volume, deep subsurface settings represent some of the largest microbial habitats on the planet, and the combined biomass of the deep biosphere encompasses the largest living reservoir of carbon, excluding land plants. However, the paleo-record of the deep biosphere is still largely uncharted and neglected. The aim of this book is to highlight current research on deep life through time and bring together researchers with various perspectives. The book presents a collection of scientific contributions that provide a sample of forefront research in this field. The contributions involve a range of case studies of deep ancient life in continental and oceanic settings, of microbial diversity in sub-seafloor environments, and of the isolation of calcifying bacteria, as well as reviews on clay mineralization of fungal biofilms and on the carbon isotope records of the deep biosphere. Deciphering the fossil record of the deep biosphere is a challenging task but, when successful, will unlock doors to life's cryptic past."]
[null,"3.","Record Nr.",null,"UNINA9910739424503321"]
[null,null,"Autore",null,"Tarnowska Katarzyna"]
[null,null,"Titolo",null,"Recommender System for Improving Customer Loyalty / / by Katarzyna Tarnowska, Zbigniew W. Ras, Lynn Daniel"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020"]
[null,null,"ISBN",null,"3-030-13438-5"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (133 pages) : illustrations"]
[null,null,"Collana",null,"Studies in Big Data, , 2197-6503 ; ; 55"]
[null,null,"Disciplina",null,"001.64"]
[{"$nulls":4},"005.56"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Customer relations—Management"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Pattern perception"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Customer Relationship Management"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Pattern Recognition"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Chapter 1: Introduction -- Chapter 2: Customer Loyalty Improvement -- Chapter 3: State of the Art -- Chapter 4: Background -- Chapter 5: Overview of Recommender System Engine -- Chapter 6: Visual Data Analysis -- Chapter 7: Improving Performance of Knowledge Miner -- Chapter 8: Recommender System Based on Unstructured Data -- Chapter 9: Customer Attrition Problem -- Chapter 10: Conclusion."]
[null,null,null,"Sommario/riassunto","This book presents the Recommender System for Improving Customer Loyalty. New and innovative products have begun appearing from a wide variety of countries, which has increased the need to improve the customer experience. When a customer spends hundreds of thousands of dollars on a piece of equipment, keeping it running efficiently is critical to achieving the desired return on investment. Moreover, managers have discovered that delivering a better customer experience pays off in a number of ways. A study of publicly traded companies conducted by Watermark Consulting found that from 2007 to 2013, companies with a better customer service generated a total return to shareholders that was 26 points higher than the S&P 500. This is only "]
[{"$nulls":4},"one of many studies that illustrate the measurable value of providing a better service experience. The Recommender System presented here addresses several important issues. (1) It provides a decision framework to help managers determine which actions are likely to have the greatest impact on the Net Promoter Score. (2) The results are based on multiple clients. The data mining techniques employed in the Recommender System allow users to “learn” from the experiences of others, without sharing proprietary information. This dramatically enhances the power of the system. (3) It supplements traditional text mining options. Text mining can be used to identify the frequency with which topics are mentioned, and the sentiment associated with a given topic. The Recommender System allows users to view specific, anonymous comments associated with actual customers. Studying these comments can provide highly accurate insights into the steps that can be taken to improve the customer experience. (4) Lastly, the system provides a sensitivity analysis feature. In some cases, certain actions can be more easily implemented than others. The Recommender System allows managers to “weigh” these actions and determine which ones would have a greater impact."]