{"product_id":"big-data-of-complex-networks-9780367658434","title":"Big Data of Complex Networks","description":"\u003cp\u003e • Author(s): Matthias Dehmer\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Combinatorics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBig Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of complex networks.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIntended for computer scientists, statisticians and mathematicians interested in the big data and networks, \u003cb\u003eBig Data of Complex Networks \u003c\/b\u003eis also a valuable tool for researchers in the fields of visualization, data analysis, computer vision and bioinformatics.\u003c\/p\u003e\u003cp\u003eKey features: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eProvides a complete discussion of both the hardware and software used to organize big data\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eDescribes a wide range of useful applications for managing big data and resultant data sets\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eMaintains a firm focus on massive data and large networks\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eUnveils innovative techniques to help readers handle big data\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003c\/ul\u003e\u003cp\u003eMatthias Dehmer received his PhD in computer science from the Darmstadt University of Technology, Germany. Currently, he is Professor at UMIT - The Health and Life Sciences University, Austria, and the UniversitÃ¤t der Bundeswehr MÃ¼nchen. His research interests are in graph theory, data science, complex networks, complexity, statistics and information theory.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eFrank Emmert-Streib received his PhD in theoretical physics from the University of Bremen, and is currently Associate professor at Tampere University of Technology, Finland. His research interests are in the field of computational biology, machine learning and network medicine.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eStefan Pickl holds a PhD in mathematics from the Darmstadt University of Technology, and is currently a Professor at Bundeswehr UniversitÃ¤t MÃ¼nchen. His research interests are in operations research, systems biology, graph theory and discrete optimization.\u003c\/p\u003e\u003cp\u003eAndreas Holzinger received his PhD in cognitive science from Graz University and his habilitation (second PhD) in computer science from Graz University of Technology. He is head of the Holzinger Group HCI-KDD at the Medical University Graz and Visiting Professor for Machine Learning in Health Informatics Vienna University of Technology.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Paperback","offer_id":45240574541975,"sku":"9780367658434","price":4021.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780367658434.webp?v=1769226005","url":"https:\/\/atlanticbooks.com\/products\/big-data-of-complex-networks-9780367658434","provider":"Atlantic Books","version":"1.0","type":"link"}