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  • 1
    ISSN: 0378-8741
    Language: Undetermined
    Titel der Quelle: Journal of ethnopharmacology : an interdisciplinary journal devoted to bioscientific research on indigenous drugs
    Publ. der Quelle: Shannon : Elsevier Science Ireland
    Angaben zur Quelle: Vol. 140, No. 2 (2012), p. 282-287
    DDC: 610
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    ISBN: 9781119898924 , 1119898927 , 9781119898948 , 1119898943 , 9781119898917
    Language: English
    Pages: 1 online resource , illustrations (chiefly color), color maps
    Parallel Title: Erscheint auch als
    DDC: 004.6
    Keywords: Computer networks ; Information networks ; Computer networks ; Information networks
    Abstract: Network Science Network Science offers comprehensive insight on network analysis and network optimization algorithms, with simple step-by-step guides and examples throughout, and a thorough introduction and history of network science, explaining the key concepts and the type of data needed for network analysis, ensuring a smooth learning experience for readers. It also includes a detailed introduction to multiple network optimization algorithms, including linear assignment, network flow and routing problems. The text is comprised of five chapters, focusing on subgraphs, network analysis, network optimization, and includes a list of case studies, those of which include influence factors in telecommunications, fraud detection in taxpayers, identifying the viral effect in purchasing, finding optimal routes considering public transportation systems, among many others. This insightful book shows how to apply algorithms to solve complex problems in real-life scenarios and shows the math behind these algorithms, enabling readers to learn how to develop them and scrutinize the results. Written by a highly qualified author with significant experience in the field, Network Science also includes information on: Sub-networks, covering connected components, bi-connected components, community detection, k-core decomposition, reach network, projection, nodes similarity and pattern matching Network centrality measures, covering degree, influence, clustering coefficient, closeness, betweenness, eigenvector, PageRank, hub and authority Network optimization, covering clique, cycle, linear assignment, minimum-cost network flow, maximum network flow problem, minimum cut, minimum spanning tree, path, shortest path, transitive closure, traveling salesman problem, vehicle routing problem and topological sort With in-depth and authoritative coverage of the subject and many case studies to convey concepts clearly, Network Science is a helpful training resource for professional and industry workers in, telecommunications, insurance, retail, banking, healthcare, public sector, among others, plus as a supplementary reading for an introductory Network Science course for undergraduate students.
    Note: Includes index. - Description based on online resource; title from digital title page (viewed on November 15, 2022)
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : SAS Institute | Boston, MA : Safari
    ISBN: 9781953329622
    Language: English
    Pages: 1 online resource (170 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Boost your understanding of data science techniques to solve real-world problems Data science is an exciting, interdisciplinary field that extracts insights from data to solve business problems. This book introduces common data science techniques and methods and shows you how to apply them in real-world case studies. From data preparation and exploration to model assessment and deployment, this book describes every stage of the analytics life cycle, including a comprehensive overview of unsupervised and supervised machine learning techniques. The book guides you through the necessary steps to pick the best techniques and models and then implement those models to successfully address the original business need. No software is shown in the book, and mathematical details are kept to a minimum. This allows you to develop an understanding of the fundamentals of data science, no matter what background or experience level you have.
    Note: Online resource; Title from title page (viewed August 6, 2021) , Mode of access: World Wide Web.
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  • 4
    ISBN: 9781118416747 , 1118416740
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Series Statement: Wiley & SAS business series
    Parallel Title: Erscheint auch als
    Keywords: Management ; Statistical methods ; Decision making ; Statistical methods ; Business planning ; Statistical methods ; Heuristic algorithms ; System analysis ; Electronic books ; Electronic books ; local
    Abstract: A practical guide to deploying mathematical and statistical models when performing analytics The Heuristics in Analytics describes analytic processes and how they fit into the heuristic world around us. In spite of the strong heuristic characteristics of the analytical processes, this important book emphasizes the need to have the proper tools to engage analytics. It describes the analytical process from the exploratory analysis in respect to business scenarios and corporate environments, to model developments; and from statistics, probability, stochastic, mathematics, and artificial intelligence; to the deployments and possible outcomes. Describes the overall analytical process in terms of modeling, deployment, and application Presents distinct analytical approaches such as statistical, probabilistic, stochastic, and mathematical Offers a new perspective of the randomness in analytical modeling Includes case studies on the entire analytical process using telecom companies based in Brazil, Ireland, Turkey, United Sates, and Canada Randomness holds a strong impact in the everyday world. It makes sense, then, that analytics are put in place to understand business occurrences, marketplace scenarios, and consumer behavior. The Heuristics in Analytics uniquely shows how random events on a daily basis might completely change expectations, predictions, and behaviors, particularly in corporate environments, and how companies can build a proper analytical strategy to diminish the effect of randomness in business actions.
    Note: Includes bibliographical references and index. - Description based on print version record
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  • 5
    Online Resource
    Online Resource
    Hoboken, N.J. : J. Wiley & Sons
    ISBN: 9781118010952 , 1118010957
    Language: English
    Pages: 1 online resource (1 v.) , ill., maps.
    Series Statement: Wiley and SAS business series
    Parallel Title: Erscheint auch als
    Keywords: Telecommunication ; Customer services ; Social networks ; Customer relations ; Technological innovations ; Electronic books ; Electronic books ; local
    Abstract: A timely look at effective use of social network analysis within the telecommunications industry to boost customer relationships The key to any successful company is the relationship that it builds with its customers. This book shows how social network analysis, analytics, and marketing knowledge can be combined to create a positive customer experience within the telecommunications industry. Reveals how telecommunications companies can effectively enhance their relationships with customers Provides the groundwork for defining social network analysis Defines the tools that can be used to address social network problems A must-read for any professionals eager to distinguish their products in the marketplace, this book shows you how to get it done right, with social network analysis.
    Note: Includes bibliographical references and index. - Description based on print version record
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