Applications of Data Management and Analysis : Case Studies in Social Networks and Beyond / / edited by Mohammad Moshirpour, Behrouz H. Far, Reda Alhajj |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (viii, 217 pages) : illustrations (chiefly color) |
Disciplina | 302.3 |
Collana | Lecture Notes in Social Networks |
Soggetto topico |
Big data
Computational intelligence Data mining Sociophysics Econophysics Social sciences—Data processing Social sciences—Computer programs Big Data/Analytics Big Data Computational Intelligence Data Mining and Knowledge Discovery Data-driven Science, Modeling and Theory Building Computational Social Sciences |
ISBN | 3-319-95810-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter1: Predicting Implicit Negative Relations in Online Social Networks -- Chapter2: Automobile insurance fraud detection using social network analysis -- Chapter3: Improving circular layout algorithm for social network visualization using genetic algorithm -- Chapter4: Live Twitter Sentiment Analysis -- Chapter5: Artificial Neural Network Modeling and Forecasting of Oil Reservoir Performance -- Chapter6: A Sliding-Window Algorithm Implementation in MapReduce -- Chapter7: A Fuzzy Dynamic Model for Customer Churn Prediction in Retail Banking Industry -- Chapter8: Temporal Dependency between Evolution of Features and Dynamic Social Networks -- Chapter9: Recommender System for Product Avoidance -- Chapter10: A new 3D value model for customer segmentation:Complex Network Approach -- Chapter11: Finding Influential Factors for Different Types of Cancer: A Data Mining Approach -- Chapter 12: Enhanced load balancer with multi-layer processing architecture for heavy load over cloud network -- Chapter13: Market Basket Analysis Using Community Detection Approach: A Real Case -- Chapter14: Predicting Future with Social Media based on Sentiment and Quantitative Analysis. |
Record Nr. | UNINA-9910298208903321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
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Lo trovi qui: Univ. Federico II | ||
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Data Management and Analysis : Case Studies in Education, Healthcare and Beyond / / edited by Reda Alhajj, Mohammad Moshirpour, Behrouz Far |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (261 pages) |
Disciplina | 005.7 |
Collana | Studies in Big Data |
Soggetto topico |
Big data
Engineering—Data processing Health informatics Educational technology Social sciences—Data processing Social sciences—Computer programs Big Data Data Engineering Health Informatics Technology and Digital Education Big Data/Analytics Computational Social Sciences |
ISBN | 3-030-32587-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter1: Leveraging protection and efficiency of query answering in heterogenous RDF data by a view layer -- Chapter2: Big Data Analytics of Healthcare Tweets for Opinion Mining on Physician Assistants -- Chapter3: An Introductory Multidisciplinary Data Science Course Incorporating Experiential Learning -- Chapter4: Homogenous Vs. Heterogeneous Distributed Data Clustering: A Taxonomy -- Chapter5: Order acceptance policy for make-to-order supply chain -- Chapter6: Importance of Data Analytics for Improving Teaching and Learning Methods -- Chapter7: Prediction Model for Prevalence of Type-2 Diabetes Mellitus Complications Using Machine Learning Approach -- Chapter8: Face Reconstruction from profile to frontal evaluation of face recognition -- Chapter9: A Data Management Scheme for Micro-Level Modular Computation-intensive Programs in Big Data Platforms -- Chapter10: A Vertical Breadth-First Multilevel Path Algorithm to Find All Paths in a Graph -- Chapter11: Workflow Provenance for Big Data: From Modelling to Reporting -- Chapter12: A Perspective on “Working with Data” Curriculum Development -- Chapter13: Approaches for Early Detection of Glaucoma using Retinal Images: A Performance Analysis -- Chapter14: Binary Thermal Exchange Optimization for Feature Selection. |
Record Nr. | UNINA-9910366609703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Highlighting the Importance of Big Data Management and Analysis for Various Applications / / edited by Mohammad Moshirpour, Behrouz Far, Reda Alhajj |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (161 pages) |
Disciplina | 005.7 |
Collana | Studies in Big Data |
Soggetto topico |
Big data
Social sciences—Data processing Social sciences—Computer programs Data mining Sociophysics Econophysics Computational intelligence Big Data/Analytics Big Data Computational Social Sciences Data Mining and Knowledge Discovery Data-driven Science, Modeling and Theory Building Computational Intelligence |
ISBN | 3-319-60255-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Big data analytics of social network data: Who cares most about you on Facebook? -- Chapter 2. Characterizing and Predicting Yelp Users' Behavior Composite Visualization Features in -- Chapter 3. PEVNET: A Framework for Visualization of Criminal Networks -- Chapter 4. Effective Customer Relationship Managment at ATB Financial A Case Study on Industry-Academia Collaboration in Data Analytics -- Chapter 5. Effective Personnel Selection and Team Building using Intelligent Data Analytics -- Chapter 6. Extracting Relevant Information from Big Data to Anticipate Forced Migration -- Chapter 7. Implicit Social Networks for Social Recommendation of Scholarly Papers -- Chapter 8. The Effect of Corpora Size on Performance of Named Entity Recognition -- Chapter 9. Time Series Analysis for the most Frequently Mentioned Biomarkers in Breast Cancer Articles -- Chapter 10. Transportation Engineering on Social Question and Answer Websites: An Empirical Case Study -- Chapter 11. Understanding Health Service Delivery Using Spatio-Temporal Patient Mobility Data -- Chapter 12. WaterVis: GeoVisual Analytics for Exploring Hydrological Data. |
Record Nr. | UNINA-9910739437203321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
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Lo trovi qui: Univ. Federico II | ||
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The Ignite Project : A Journey in Scrum |
Autore | Raeesinejad Niyousha |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Singapore : , : Springer, , 2023 |
Descrizione fisica | 1 online resource (273 pages) |
Disciplina | 005.10711 |
Altri autori (Persone) |
Mehrdad BibalanYousef
MoshirpourMohammad |
Soggetto topico |
Scrum (Computer software development)
Software engineering Enginyeria de programari |
Soggetto genere / forma | Llibres electrònics |
ISBN | 981-19-4804-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Biography -- Foreword -- Acknowledgments -- How to Read -- Contents -- Section I. Product Vision -- Chapter 1: Ignite -- Chapter 2: Conceptualization through Feedback -- Section II. Kickoff -- Chapter 3: Release Planning -- Chapter 4: Stories -- Chapter 5: Sprints -- Chapter 6: Stories to Tasks -- Chapter 7: Learning Curve -- Section III. Training Week -- Chapter 8: Standups -- Chapter 9: Practices and Architecture -- Chapter 10: Grooming -- Chapter 11: Feature vs. Component Teams -- Section IV. Spikes, Practices, and Guidelines -- Chapter 12: Continuous Integration -- Chapter 13: Spikes -- Chapter 14: Personas -- Section V. MVP -- Chapter 15: Intern Support -- Chapter 16: Dependencies and Productivity -- Chapter 17: Refactoring -- Chapter 18: Overcommitment -- Chapter 19: Effective Communication |
Record Nr. | UNINA-9910760296403321 |
Raeesinejad Niyousha
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Singapore : , : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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