%0 Book %1 HassanienTaherAzarEtAl2015 %B Studies in Big Data %C Cham %D 2015 %E Hassanien, Aboul Ella %E Taher Azar, Ahmad %E Snasael, Vaclav %E Kacprzyk, Janusz %E Abawajy, Jemal H. %I Springer %K 01624 103 springer book ai enterprise business multimedia data pattern recognition analysis information retrieval zzz.big %R 10.1007/978-3-319-11056-1 %T Big Data in Complex Systems %V 9 %X This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible. %@ 978-3-319-11055-4

@book{HassanienTaherAzarEtAl2015, abstract = {This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.}, added-at = {2016-06-09T17:12:24.000+0200}, address = {Cham}, biburl = {https://www.bibsonomy.org/bibtex/2db99c5de98956cdb0dd5504dba3ff12f/flint63}, doi = {10.1007/978-3-319-11056-1}, editor = {Hassanien, Aboul Ella and Taher Azar, Ahmad and Snasael, Vaclav and Kacprzyk, Janusz and Abawajy, Jemal H.}, file = {Springer Pro:2015/HassanienTaherAzarEtAl2015.pdf:PDF;Springer Pro:http\://www.springerprofessional.de/big-data-in-complex-systems/2262942:URL;Springer Product page:http\://www.springer.com/978-3-319-11055-4:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/3319110551/:URL}, groups = {public}, interhash = {4b98838fdae3c6ec5a21e901bff24cb0}, intrahash = {db99c5de98956cdb0dd5504dba3ff12f}, isbn = {978-3-319-11055-4}, issn = {2197-6503}, keywords = {01624 103 springer book ai enterprise business multimedia data pattern recognition analysis information retrieval zzz.big}, publisher = {Springer}, series = {Studies in Big Data}, timestamp = {2017-07-13T17:34:07.000+0200}, title = {Big Data in Complex Systems}, username = {flint63}, volume = 9, year = 2015 }