Zhu Han
                        
                                        
                        
    
    
            
            
            
                                                                
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                    
            
        
                                                
                Sublinear Algorithms for Big Data Applications
Ebook (PDF Format)
            The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These applications present common experiences, bridging the theoretical advances of sublinear algorithms and the application domain. Sublinear Algorithms for Big Data Applications is suitable for researchers, engineers and graduate students in the computer sci…
        
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                                    Beschreibung
                        The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These applications present common experiences, bridging the theoretical advances of sublinear algorithms and the application domain. Sublinear Algorithms for Big Data Applications is suitable for researchers, engineers and graduate students in the computer science, communications and signal processing communities.
                    
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Produktdetails
Weitere Autoren: Wang, Dan
- ISBN: 978-3-319-20448-2
- EAN: 9783319204482
- Produktnummer: 19113380
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2015
- Plattform: PDF
- Masse: 1'966 KB
49 weitere Werke von Zhu Han:
                                    Ebook (PDF Format)
                                
                            
                                                            CHF 65.00
                            
                                                                
            
                                    Ebook (PDF Format)
                                
                            
                                                            CHF 118.00
                            
                                                                
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