{"product_id":"9780470195154","title":"Statistical and Machine Learning Approaches for Network Analysis","description":"\u003ch3\u003eWiley Series in Computational Statistics\u003c\/h3\u003e\u003ch1\u003eStatistical and Machine Learning Approaches for Network Analysis\u003c\/h1\u003e\u003ch3\u003eMatthias Dehmer | Subhash C. Basak\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eExplore the multidisciplinary nature of complex networks through machine learning techniques\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eStatistical and Machine Learning Approaches for Network Analysis\u003c\/i\u003e provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book uniquely sets itself apart from the current literature by exploring the application of machine learning techniques to various types of complex networks.\u003c\/p\u003e \u003cp\u003eComprised of chapters written by internationally renowned researchers in the field of interdisciplinary network theory, the book presents current and classical methods to analyze networks statistically. Methods from machine learning, data mining, and information theory are strongly emphasized throughout. Real data sets are used to showcase the discussed methods and topics, which include:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eA survey of computational approaches to reconstruct and partition biological networks\u003c\/li\u003e \u003cli\u003eAn introduction to complex networks—measures, statistical properties, and models\u003c\/li\u003e \u003cli\u003eModeling for evolving biological networks\u003c\/li\u003e \u003cli\u003eThe structure of an evolving random bipartite graph\u003c\/li\u003e \u003cli\u003eDensity-based enumeration in structured data\u003c\/li\u003e \u003cli\u003eHyponym extraction employing a weighted graph kernel\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eStatistical and Machine Learning Approaches for Network Analysis\u003c\/i\u003e is an excellent supplemental text for graduate-level, cross-disciplinary courses in applied discrete mathematics, bioinformatics, pattern recognition, and computer science. The book is also a valuable reference for researchers and practitioners in the fields of applied discrete mathematics, machine learning, data mining, and biostatistics.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eMATTHIAS DEHMER, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is Head of the Institute for Bioinformatics and Trans- lational Research at the University for Health Sciences, Medical Informatics and Technology (Austria). He has written over 130 publications in his research areas, which include bioinformatics, systems biology, and applied discrete mathematics. Dr. Dehmer is also the coeditor of \u003ci\u003eApplied Statistics for Network Biology, Statistical Modelling of Molecular Descriptors in QSAR\/QSPR, Medical Biostatistics for Complex Diseases, Analysis of Complex Networks,\u003c\/i\u003e and \u003ci\u003eAnalysis of Microarray Data,\u003c\/i\u003e all published by Wiley. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eSUBHASH C. BASAK, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is Senior Research Associate at the Natural Resources Research Institute. He has published extensively in the areas of biochemical pharmacology, toxicology, mathematical chemistry, and computational chemistry. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e07 August 2012\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780470195154\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e352\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e21.44\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44379784183948,"sku":"9780470195154","price":132.26,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780470195154_67fe2c5c-6aa8-4fb5-9a68-ed2193399d41.jpg?v=1780143549","url":"https:\/\/lateknightbooks.com\/products\/9780470195154","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}