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[null,"1.","Record Nr.",null,"UNINA9910157530303321"]
[null,null,"Autore",null,"Sreedhar G."]
[null,null,"Titolo",null,"Web data mining and the development of knowledge-based decision support systems / / G. Sreedhar [editor]"]
[null,null,"Pubbl/distr/stampa",null,"Hershey, Pennsylvania : , : IGI Global, , 2017"]
[{"$nulls":4},"©2017"]
[null,null,"ISBN",null,"9781522518785"]
[{"$nulls":4},"9781522518778"]
[null,null,"Descrizione fisica",null,"PDFs (409 pages) : illustrations"]
[null,null,"Collana",null,"Advances in Data Mining and Database Management (ADMDM) Book Series, ; ; 2327-199X"]
[null,null,"Disciplina",null,"658.403"]
[null,null,"Soggetti",null,"Decision support systems"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Web databases"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Development of efficient decision support system using web data mining / G. Sreedhar, A. Anandaraja Chari -- Improving decision-making in a business simulator using TOPSIS methodology for the establishment of reactive stratagem / Carlos Alberto Ochoa Ortiz Zezzatti -- DSS for web mining using recommendation system / Varaprasad Rao M, Vishnu Murthy G -- Mastering intelligent decision support systems in enterprise information management / Kijpokin Kasemsap -- Web data mining in education: decision support by learning analytics with Bloom's taxonomy / Wing Shui Ng -- Discover patterns from web-based dataset / Raghvendra Kumar, Priyanka Pandey, Prasant Kumar Pattnaik -- Web usage mining: improving the performance of web-based application through web mining / Sathiyamoorthi V -- Multi-agent-based information retrieval system using information scent in query log mining for effective web search / Suruchi Chawla -- Knowledge representation technologies using semantic web / Vudattu Kiran Kumar -- Discovering knowledge hidden in big data from machine-learning techniques / Adiraju Prashantha Rao -- Knowledge-based decision support system for analyzing the relevancies of various attributes based on their characteristics / Madana Kumar Reddy C -- Website topology modification with hotlinks using mined webusage knowledge / Thendral Puyalnithi, Madhu "]
[{"$nulls":4},"Viswanatham V -- Mining on social media / Ambati Venkata Krishna Prasad, Venkata Naresh Mandhala --"]
[{"$nulls":4},"Some other applications in community graph under the preview of social graph using graph-mining techniques / Bapuji Rao, Sasmita Mishra, Saroja Nanda Mishra -- Social network web mining: web mining techniques for online social network analysis / Balamurugan Balusamy [and 2 others] -- Data mining and data warehousing: introduction to data mining and data warehousing / Sathiyamoorthi V -- Text mining: current trends and applications / Kijpokin Kasemsap."]
[null,null,null,"Sommario/riassunto","\"[This book] s a key reference source on decision support systems in view of end user accessibility and identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is ideally designed for web developers, internet users, online application developers, researchers, and faculty\"--Provided by publisher."]
[null,"2.","Record Nr.",null,"UNINA9910555025503321"]
[null,null,"Autore",null,"Denis Daniel J. <1974->"]
[null,null,"Titolo",null,"Univariate, bivariate, and multivariate statistics using R : quantitative tools for data analysis and data science / / Daniel J. Denis"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, New Jersey : , : Wiley, , 2020"]
[null,null,"ISBN",null,"1-119-54991-4"]
[{"$nulls":4},"1-119-54996-5"]
[{"$nulls":4},"1-119-54995-7"]
[null,null,"Descrizione fisica",null,"1 online resource (287 pages)"]
[null,null,"Disciplina",null,"519.53"]
[null,null,"Soggetti",null,"Analysis of variance"]
[{"$nulls":4},"Multivariate analysis"]
[{"$nulls":4},"Mathematical statistics - Data processing"]
[{"$nulls":4},"R (Computer program language)"]
[{"$nulls":4},"Anàlisi de variància"]
[{"$nulls":4},"Anàlisi multivariable"]
[{"$nulls":4},"Estadística matemàtica"]
[{"$nulls":4},"Processament de dades"]
[{"$nulls":4},"Llibres electrònics"]
[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,"Introduction to applied statistics -- Introduction to R and computational statistics -- Exploring data with R : essential graphics and visualization -- Means, correlations, counts : drawing inferences using easy-to-implement statistical tests -- Power analysis and sample size estimation using R -- Analysis of variance : fixed effects, random effects, mixed models and repeated measures -- Simple and multiple linear regression -- Logistic regression and the generalized linear model -- Multivariate analysis of variance (MANOVA) and discriminant analysis -- Principal components analysis -- Exploratory factor analysis -- Cluster analysis -- Nonparametric tests."]
[null,null,null,"Sommario/riassunto","\"This book provides a user-friendly and practical guide on R, with emphasis on covering a broader range of statistical methods than previous books on R. This is a \"how to\" book and will be of use to undergraduates and graduate students along with researchers and professionals who require a quick go-to source to help them perform "]
[{"$nulls":4},"essential statistical analyses and data management tasks in R. The book only assumes minimal prior knowledge of statistics, providing readers with the tools they need right now to help them understand and interpret their data analyses. This book covers univariate, bivariate, and multivariate statistical methods, as well as some nonparametric tests. It provides students with a hands-on easy-to-read manual on the wealth of applied statistics and essential R computing that they will need for their theses, dissertations, and research publications. A strength of this book is its scope of coverage of univariate through to multivariate procedures, while simultaneously serving as a friendly introduction to R software\"--"]