{"product_id":"adaptive-resonance-theory-in-social-media-data-clustering-roles-methodologies-and-applications-hardcover","title":"Adaptive Resonance Theory in Social Media Data Clustering: Roles, Methodologies, and Applications - Hardcover","description":"\u003cp\u003eby \u003cb\u003eLei Meng\u003c\/b\u003e (Author), \u003cb\u003eAh-Hwee Tan\u003c\/b\u003e (Author), \u003cb\u003eDonald C. Wunsch II\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eSocial media data contains our communication and online sharing, mirroring our daily life. This book looks at how we can use and what we can discover from such big data: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003ci\u003eBasic knowledge (data \u0026amp; challenges) on social media analytics\u003cbr\u003e\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eClustering as a fundamental technique for unsupervised knowledge discovery and data mining\u003cbr\u003e\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eA class of neural inspired algorithms, based on adaptive resonance theory (ART), tackling challenges in big social media data clustering \u003cbr\u003e\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003ci\u003eStep-by-step practices of developing unsupervised machine learning algorithms for real-world applications in social media domain\u003c\/i\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eAdaptive Resonance Theory in Social Media Data Clustering\u003c\/i\u003e stands on the fundamental breakthrough in cognitive and neural theory, i.e. adaptive resonance theory, which simulates how a brain processes information to perform memory, learning, recognition, and prediction.\u003c\/p\u003e\u003cp\u003eIt presents initiatives on the mathematical demonstration of ART's learning mechanisms in clustering, and illustrates how to extend the base ART model to handle the complexity and characteristics of social media data and perform associative analytical tasks.\u003c\/p\u003e\u003cp\u003eBoth cutting-edge research and real-world practices on machine learning and social media analytics are included in the book and if you wish to learn the answers to the following questions, this book is for you: \u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eHow to process big streams of multimedia data?\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow to analyze social networks with heterogeneous data?\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow to understand a user's interests by learning from online posts and behaviors?\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow to create a personalized search engine by automatically indexing and searching multimodal information resources? \u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e.\u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\u003cbr\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eSocial media data contains our communication and online sharing, mirroring our daily life. This book looks at how we can use and what we can discover from such big data: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003ci\u003eBasic knowledge (data \u0026amp; challenges) on social media analytics\u003cbr\u003e\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eClustering as a fundamental technique for unsupervised knowledge discovery and data mining\u003cbr\u003e\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ci\u003eA class of neural inspired algorithms, based on adaptive resonance theory (ART), tackling challenges in big social media data clustering\u003cbr\u003e\u003c\/i\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003ci\u003eStep-by-step practices of developing unsupervised machine learning algorithms for real-world applications in social media domain\u003c\/i\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eAdaptive Resonance Theory in Social Media Data Clustering\u003c\/i\u003e stands on the fundamental breakthrough in cognitive and neural theory, i.e. adaptive resonance theory, which simulates how a brain processes information to perform memory, learning, recognition, and prediction.\u003c\/p\u003e\u003cp\u003eIt presents initiatives on the mathematical demonstration of ART's learning mechanisms in clustering, and illustrates how to extend the base ART model to handle the complexity and characteristics of social media data and perform associative analytical tasks.\u003c\/p\u003e\u003cp\u003eBoth cutting-edge research and real-world practices on machine learning and social media analytics are included in the book and if you wish to learn the answers to the following questions, this book is for you: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eHow to process big streams of multimedia data?\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow to analyze social networks with heterogeneous data?\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow to understand a user's interests by learning from online posts and behaviors?\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow to create a personalized search engine by automatically indexing and searching multimodal information resources?\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 190\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.5 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 14, 2019\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51794687230240,"sku":"9783030029845","price":178.18,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/489962e00ced3d8c4126c5cb22920511.webp?v=1780731017","url":"https:\/\/ebocreations.com\/products\/adaptive-resonance-theory-in-social-media-data-clustering-roles-methodologies-and-applications-hardcover","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}