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Advances in information systems set . Volume 1 From big data to smart data / / Fernando Iafrate
| Advances in information systems set . Volume 1 From big data to smart data / / Fernando Iafrate |
| Autore | Iafrate Fernando |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : iSTE : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (89 p.) |
| Disciplina | 005.74023 |
| Collana | Information Systems Web and Pervasive Computing Series |
| Soggetto topico | Big data |
| ISBN |
1-119-11925-1
1-119-11618-X 1-119-11926-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface; List of Figures and Tables; Introduction; I.1. Objectives; I.2. Observation; I.2.1. Before 2000 (largely speaking, before e-commerce); I.2.2. Between 2000 and 2010 (the boom of e-commerce, then the advent of social networks); I.2.3. Since 2010 (mobility and real-time become keywords); I.2.4. And then ... (connected objects...); I.3. In sum; 1: What is Big Data?; 1.1. The four "V"s characterizing Big Data; 1.1.1. V for "Volume"; 1.1.2. V for "Variety"; 1.1.3. V for "Velocity"; 1.1.4. V for "Value", associated with Smart Data
1.1.4.1. What value can be taken from Big Data?1.2. The technology that supports Big Data; 2: What is Smart Data?; 2.1. How can we define it?; 2.1.1. More formal integration into business processes; 2.1.2. A stronger relationship with transactionsolutions; 2.1.3. The mobility and the temporality of information; 2.1.3.1. The automation of analysis; 2.2. The structural dimension; 2.2.1. The objectives of a BICC; 2.3. The closed loop between Big Data and Smart Data; 3: Zero Latency Organization; 3.1. From Big Data to Smart Data for a zero latency organization; 3.2. Three types of latency 3.2.1. Latency linked to data3.2.2. Latency linked to analytical processes; 3.2.3. Latency linked to decision-making processes; 3.2.4. Action latency; 4: Summary by Example; 4.1. Example 1: date/product/price recommendation; 4.1.1. Steps "1" and "2"; 4.1.2. Steps "3" and "4": enter the world of "SmartData"; 4.1.3. Step "5": the presentation phase; 4.1.4. Step "6": the "Holy Grail" (the purchase); 4.1.5. Step "7": Smart Data; 4.2. Example 2: yield/revenue management (rate controls); 4.2.1. How it works: an explanation based on the Tetrisprinciple (see Figure 4.4) 4.3. Example 3: optimization of operational performance4.3.1. General department (top management) ; 4.3.2. Operations departments (middle management); 4.3.3. Operations management (and operationalplayers); Conclusion; Bibliography; Glossary; Index |
| Record Nr. | UNINA-9910132269203321 |
Iafrate Fernando
|
||
| London, England ; ; Hoboken, New Jersey : , : iSTE : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in information systems set . Volume 1 From big data to smart data / / Fernando Iafrate
| Advances in information systems set . Volume 1 From big data to smart data / / Fernando Iafrate |
| Autore | Iafrate Fernando |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : iSTE : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (89 p.) |
| Disciplina | 005.74023 |
| Collana | Information Systems Web and Pervasive Computing Series |
| Soggetto topico | Big data |
| ISBN |
1-119-11925-1
1-119-11618-X 1-119-11926-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface; List of Figures and Tables; Introduction; I.1. Objectives; I.2. Observation; I.2.1. Before 2000 (largely speaking, before e-commerce); I.2.2. Between 2000 and 2010 (the boom of e-commerce, then the advent of social networks); I.2.3. Since 2010 (mobility and real-time become keywords); I.2.4. And then ... (connected objects...); I.3. In sum; 1: What is Big Data?; 1.1. The four "V"s characterizing Big Data; 1.1.1. V for "Volume"; 1.1.2. V for "Variety"; 1.1.3. V for "Velocity"; 1.1.4. V for "Value", associated with Smart Data
1.1.4.1. What value can be taken from Big Data?1.2. The technology that supports Big Data; 2: What is Smart Data?; 2.1. How can we define it?; 2.1.1. More formal integration into business processes; 2.1.2. A stronger relationship with transactionsolutions; 2.1.3. The mobility and the temporality of information; 2.1.3.1. The automation of analysis; 2.2. The structural dimension; 2.2.1. The objectives of a BICC; 2.3. The closed loop between Big Data and Smart Data; 3: Zero Latency Organization; 3.1. From Big Data to Smart Data for a zero latency organization; 3.2. Three types of latency 3.2.1. Latency linked to data3.2.2. Latency linked to analytical processes; 3.2.3. Latency linked to decision-making processes; 3.2.4. Action latency; 4: Summary by Example; 4.1. Example 1: date/product/price recommendation; 4.1.1. Steps "1" and "2"; 4.1.2. Steps "3" and "4": enter the world of "SmartData"; 4.1.3. Step "5": the presentation phase; 4.1.4. Step "6": the "Holy Grail" (the purchase); 4.1.5. Step "7": Smart Data; 4.2. Example 2: yield/revenue management (rate controls); 4.2.1. How it works: an explanation based on the Tetrisprinciple (see Figure 4.4) 4.3. Example 3: optimization of operational performance4.3.1. General department (top management) ; 4.3.2. Operations departments (middle management); 4.3.3. Operations management (and operationalplayers); Conclusion; Bibliography; Glossary; Index |
| Record Nr. | UNINA-9910815766903321 |
|
Iafrate Fernando
|
||
| London, England ; ; Hoboken, New Jersey : , : iSTE : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data [[electronic resource] ] : A Primer / / edited by Hrushikesha Mohanty, Prachet Bhuyan, Deepak Chenthati
| Big Data [[electronic resource] ] : A Primer / / edited by Hrushikesha Mohanty, Prachet Bhuyan, Deepak Chenthati |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | New Delhi : , : Springer India : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (195 p.) |
| Disciplina | 005.74023 |
| Collana | Studies in Big Data |
| Soggetto topico |
Data mining
Data structures (Computer science) Computational intelligence Data Mining and Knowledge Discovery Data Storage Representation Computational Intelligence |
| ISBN | 81-322-2494-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Big Data: An Introduction -- Big Data Architecture -- Big Data Processing Algorithms -- Big Data Search and Mining -- Security and Privacy of Big Data -- Big Data Service Agreement -- Applications of Big Data. |
| Record Nr. | UNINA-9910741152203321 |
| New Delhi : , : Springer India : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
High-Performance Big-Data Analytics : Computing Systems and Approaches / / by Pethuru Raj, Anupama Raman, Dhivya Nagaraj, Siddhartha Duggirala
| High-Performance Big-Data Analytics : Computing Systems and Approaches / / by Pethuru Raj, Anupama Raman, Dhivya Nagaraj, Siddhartha Duggirala |
| Autore | Raj Pethuru |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (443 p.) |
| Disciplina | 005.74023 |
| Collana | Computer Communications and Networks |
| Soggetto topico |
Computer networks
Application software Microprocessors Computer Communication Networks Information Systems Applications (incl. Internet) Computer Appl. in Administrative Data Processing Processor Architectures |
| ISBN | 3-319-20744-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Emerging Trends and Transformations in the IT Landscape -- High Performance Technologies for Big- and Fast-Data Analytics -- Big- and Fast-Data Analytics for High-Performance Computing -- Network Infrastructure for High-Performance Big-Data Analytics -- Storage Infrastructure for High-Performance Big-Data Analytics -- Real-Time Analytics using High-Performance Computing -- High-Performance Computing Paradigms -- In-Database Processing and In-Memory Analytics -- High-Performance Integrated Systems, Databases and Warehouses for Big- and Fast-Data Analytics -- Cluster and Grid Computing Paradigms -- High-Performance Peer-to-Peer Systems -- Visualization Dimensions for High-Performance Big-Data Analytics -- Social Media Analytics for Organization Empowerment -- Big-Data Analytics for Healthcare. |
| Record Nr. | UNINA-9910299222303321 |
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Raj Pethuru
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Techniques and Environments for Big Data Analysis : Parallel, Cloud, and Grid Computing / / edited by B. S.P. Mishra, Satchidananda Dehuri, Euiwhan Kim, Gi-Name Wang
| Techniques and Environments for Big Data Analysis : Parallel, Cloud, and Grid Computing / / edited by B. S.P. Mishra, Satchidananda Dehuri, Euiwhan Kim, Gi-Name Wang |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (199 p.) |
| Disciplina | 005.74023 |
| Collana | Studies in Big Data |
| Soggetto topico |
Computational intelligence
Data mining Artificial intelligence Computational Intelligence Data Mining and Knowledge Discovery Artificial Intelligence |
| ISBN |
9783319275208
3319275208 |
| Classificazione | 32.24 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Big Data Analysis -- Parallel Environments -- A Deep Dive into the Hadoop World to Explore its Various Performances -- Natural Language Processing and Machine Learning for Big Data -- Big Data and Cyber Foraging: Future Scope and Challenges -- Parallel GA in Big Data Analysis -- Evolutionary Algorithm Based Techniques to Handle Big Data -- Statistical and Evolutionary Feature Selection Techniques Parallelized using MapReduce Programming Model -- A Data Aware Scheme for Scheduling Big-Data Applications on SAVANNA Hadoop -- The Role of Grid Technologies: A Next Level Combat with Big Data. |
| Record Nr. | UNINA-9910739427803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||