 
                            Analisi dei dati e data mining
                                    av
                                                                                                                        A. Azzalini
                                                                                                                            , 
                                                                                                                                                                B. Scarpa
                                                                                                                                                    
                            
                            
                            
                                
                                                                    Inga betyg ännu
                                                            
                            
                                                            
                                                                                    Science & Technology
                                                                                    Business & Economics
                                                                                                                    
                                
                                            Format
                                            Pocketbok
                                        
                                                                                                                
                                            
                                                                                                    Sidor
                                                                                            
                                            
                                                                                                    245
                                                                                            
                                        
                                                                                                                
                                            Språk
                                            Italienska
                                        
                                                                                                                
                                            Publicerad
                                            Jun 21, 2004
                                        
                                                                                                                
                                            Förlag
                                            Springer
                                        
                                                                                                                
                                            Utgåva
                                            1a ed. 2004. 2a ristampa con modifiche 2009
                                        
                                                                                                                
                                            ISBN-10
                                            8847002729
                                        
                                                                                                                
                                            ISBN-13
                                            9788847002722
                                        
                                                                    Beskrivning
                        This book offers a comprehensive exploration of data analysis and data mining, focusing on techniques and methodologies that are essential for understanding complex datasets. The authors, A. Azzalini and B. Scarpa, delve into both the theoretical foundations and practical applications, making it a valuable resource for readers ranging from students to seasoned professionals in the field. 
Focusing on both statistical principles and computational methods, it provides clear explanations paired with relevant examples, ensuring that readers can grasp intricate concepts with ease. The integration of case studies throughout the text allows for a deeper understanding of how data mining techniques can be applied to real-world scenarios, highlighting the practical implications of theoretical knowledge.
The book emphasizes the importance of data visualization and interpretation, celebrating the role of effective communication in data-driven decision making. Azzalini and Scarpa’s approach encourages readers to synthesize information and extract meaningful insights, essential in an increasingly data-centric world.
Furthermore, the structure of the book allows for progressive learning, guiding readers from basic concepts to more advanced analytical techniques. Its blend of scholarly insight and hands-on application ensures that individuals across various disciplines can enhance their competency in data analysis and mining.
                Focusing on both statistical principles and computational methods, it provides clear explanations paired with relevant examples, ensuring that readers can grasp intricate concepts with ease. The integration of case studies throughout the text allows for a deeper understanding of how data mining techniques can be applied to real-world scenarios, highlighting the practical implications of theoretical knowledge.
The book emphasizes the importance of data visualization and interpretation, celebrating the role of effective communication in data-driven decision making. Azzalini and Scarpa’s approach encourages readers to synthesize information and extract meaningful insights, essential in an increasingly data-centric world.
Furthermore, the structure of the book allows for progressive learning, guiding readers from basic concepts to more advanced analytical techniques. Its blend of scholarly insight and hands-on application ensures that individuals across various disciplines can enhance their competency in data analysis and mining.
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