Big Data in Complex Systems

Challenges and Opportunities

Inbunden, Engelska, 2015

Av Aboul Ella Hassanien, Ahmad Taher Azar, Vaclav Snasael, Janusz Kacprzyk, Jemal H. Abawajy

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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. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book.

Produktinformation

Utgivningsdatum2015-01-19
Mått155 x 235 x 31 mm
Vikt886 g
FormatInbunden
SpråkEngelska
SerieStudies in Big Data
Antal sidor499
Upplaga2015
FörlagSpringer International Publishing AG
ISBN9783319110554

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Cloud Computing Infrastructure for Massive Data: A Gigantic Task Ahead.- Big Data Movement: a Challenge in Data Processing.- Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data.- Stream Clustering Algorithms: A Primer.- Cross Language Duplicate Record Detection in Big Data.- A Novel Hybridized Rough Set And Improved Harmony Search Based Feature Selection For Protein Sequence Classification.- Autonomic Discovery of News Evolvement in Twitter.- Hybrid Tolerance Rough Set based Intelligent Approaches for Social Tagging Systems.- Exploitation Of Healthcare Databases In Anesthesiology And Surgical Care For Comparing Comorbidity Indexes In Cholecystectomized Patients.- Sickness Absence And Record Linkage Using Primary Healthcare, Hospital And Occupational Databases.- Classification of ECG Cardiac Arrhythmias using Bijective Soft Set.- Semantic Geographic Space: from Big Data to Ecosystems of Data .- DNA Methylation Data Analysis and Visualizing in a Common Form of Breast Cancer.- Data Quality, Analytics, and Privacy in Big Data.- Search, analysis and visual comparison of massive and heterogeneous data: Application in the medical field .- Modified Soft Rough set based ECG signal Classification for Cardiac arrhythmias.- Towards a new architecture for the description and manipulation of large distributed data.