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1857.10-2021 - IEEE Standard for Third-Generation Video Coding / / Institute of Electrical and Electronics Engineers
| 1857.10-2021 - IEEE Standard for Third-Generation Video Coding / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | [Place of publication not identified] : , : IEEE, , 2022 |
| Descrizione fisica | 1 online resource (445 pages) |
| Disciplina | 001.42 |
| Soggetto topico | Quantitative research |
| ISBN | 1-5044-8140-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996574836403316 |
| [Place of publication not identified] : , : IEEE, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City : Volume 1 / / edited by Mohammed Atiquzzaman, Neil Yen, Zheng Xu
| 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City : Volume 1 / / edited by Mohammed Atiquzzaman, Neil Yen, Zheng Xu |
| Autore | Atiquzzaman Mohammed |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (1314 pages) |
| Disciplina | 005.8 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Big data Quantitative research Computational Intelligence Big Data Data Analysis and Big Data |
| ISBN |
981-16-7466-3
981-16-7465-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Organization -- Preface -- Conference Program -- BDCPS 2021 Keynotes -- Contents -- Data Mining and Statistical Modelling for Smart City -- Application of Intelligent Ant Colony Algorithm in Rural Logistics Intelligent Distribution Route Planning -- 1 Introduction -- 2 Application of Swarm Intelligence Algorithm in Logistics Distribution Route Planning Under the Background of Rural Revitalization -- 2.1 Rural Logistics and Distribution Problems -- 2.2 Problem of Logistics Distribution Path -- 2.3 IACA -- 3 Experimental Research on Group Intelligence Algorithm in Logistics Distribution Path Planning Under the Background of Rural Revitalization -- 3.1 Swarm Intelligence Algorithm Structure Framework -- 4 Experimental Analysis of Group Intelligence Algorithm in Logistics Distribution Route Planning Under the Background of Rural Revitalization -- 4.1 Analysis of the Average Solution of CGA and IACA -- 4.2 Comparison of IACA with Other Algorithms -- 5 Conclusion -- References -- Sustainable Competitive Advantages of Chinese Online Travel Agents by RBV Model: A Data Based Analysis -- 1 Introduction -- 2 Literature Review -- 2.1 Industrial Analysis -- 2.2 RBV and Competitive Advantage -- 3 Methodology -- 3.1 Data Collection Method -- 3.2 Sample -- 3.3 Data Analysis Method -- 4 Result -- 4.1 Reliability Analysis -- 4.2 Validity Analysis -- 4.3 Variable Descriptive -- 4.4 Regression Analysis -- 5 Discussion -- 5.1 Digital Marketing -- 5.2 Cost Leadership -- 5.3 Payment Mode -- 5.4 Service Responsiveness -- 5.5 Product Variety -- 6 Conclusion -- References -- Kinematics Analysis of Aerobics Movement Decomposition Based on Multi-target Video Tracking Algorithm -- 1 Introduction -- 2 Multi-target Video Tracking Algorithm and Aerobics Movement Decomposition Kinematics Research.
2.1 Feasibility Analysis of Multi-sport Target Video Tracking Application Aerobics Movement Decomposition Kinematics -- 2.2 Multi-moving Target Video Tracking Algorithm -- 3 Kinematics Experiment of Calisthenics Action Decomposition Based on Multi-sport Target Video Tracking Algorithm -- 3.1 Experimental Design -- 3.2 Experimental Procedure -- 3.3 Data Processing -- 4 Result Analysis -- 4.1 Analysis of Angle Parameters of Lower Limb Joints -- 4.2 Kinematics Analysis of Trunk Movement Links -- 5 Conclusions -- References -- Color Network System of Folk Painting Based on Fractal Algorithm Theory -- 1 Introduction -- 2 Theoretical Research on the Color Network System of Folk Painting Based on Fractal Theory Algorithm -- 2.1 Basic Knowledge of Fractal Theory -- 2.2 Software Development Platform -- 2.3 Software Implementation Model -- 3 The Realization of Color Network System of Folk Painting Based on Fractal Theory Algorithm -- 3.1 System Experiment Content -- 3.2 Process of Color Network System -- 4 Experimental Data Analysis of Folk Painting Color Network System Based on Fractal Algorithm Theory -- 4.1 System Equipment Data Analysis -- 4.2 Comparative Analysis of the Color Reproduction Process -- 5 Conclusion -- References -- Design of College Teaching Quality Evaluation Based on Apriori Algorithm -- 1 Introduction -- 2 Theoretical Research on the Design of University TQES Based on Apriori Algorithm -- 2.1 Evaluation Standard of Teaching Quality in Colleges and Universities -- 2.2 Discussion on the Requirements of TQES in Colleges and Universities -- 2.3 System Design of University TQES Based on Apriori Algorithm -- 3 Implementation of TQES Based on Apriori Algorithm -- 3.1 System Operation Environment -- 3.2 System Function Realization -- 4 Test of TQES Based on Apriori Algorithm -- 4.1 Software Testing -- 4.2 System Test -- 5 Conclusion -- References. Panal Data Analysis on the Environmental Effects of Global Value Chains: Based on the Empirical Study of Chinese Industrial Panel Data -- 1 Introduction -- 2 Analysis of the Affecting Mechanism of Global Value Chain on Environment -- 2.1 Scale Effect -- 2.2 Composition Effect -- 2.3 Technique Effect -- 3 Model Establishment -- 4 Empirical Analysis Results -- 4.1 Data Source and Processing -- 4.2 Econometric Analysis Results and Their Economic Connotations -- 5 Conclusions -- References -- The Application of Fusion Algorithm in Automobile Machinery Manufacturing Control System -- 1 Introduction -- 2 Application of Fusion Algorithm in Automobile Machinery Manufacturing Control System -- 2.1 PI Control Algorithm -- 2.2 Improved Sliding Mode Control Algorithm -- 2.3 Improved ADRC Algorithm -- 2.4 Software and Hardware Design of PMSM Servo Control System Based on Algorithm Fusion -- 3 Experimental Simulation -- 3.1 Servo System Current Simulation -- 3.2 Speed Simulation of Servo System -- 3.3 Position Simulation of Servo System -- 4 Result Analysis -- 4.1 Analysis of Current Simulation Results of Servo System -- 4.2 Speed Simulation Results Analysis of Servo System -- 5 Conclusion -- References -- Path of Data Mining and Analysis Technology in New Energy Vehicle Business Model Innovation -- 1 Introduction -- 2 Data Mining Analysis Technology and New Energy Vehicle Business Model -- 2.1 Data Mining Analysis Technology -- 2.2 Current Business Model of New Energy Vehicles -- 2.3 The Basic Principle and Process of Cluster Analysis -- 3 Application Experiment of Data Mining Analysis Technology in the Innovation Path of New Energy Vehicle Business Model -- 3.1 Experimental Background -- 3.2 Experimental Method -- 3.3 Experimental Results -- 4 Analysis and Discussion of Experimental Results. 4.1 Distribution of Traditional Business Models of Enterprises When Data Mining Technology is not Used -- 4.2 Research on the Path of Business Model Innovation for New Energy Automobile Companies Using Data Mining Technology -- 4.3 Problems Encountered During Use -- 5 Conclusions -- References -- Data Analysis and Application of Resource Search Algorithm in Basic Education Fairness -- 1 Introduction -- 2 Methods -- 2.1 Characteristics of P2P Network -- 2.2 Classical Resource Search Algorithm -- 2.3 The Impact of Injustice in Basic Education -- 3 Experiment -- 3.1 Data Sources -- 3.2 Algorithm Description -- 4 Discussion -- 4.1 Education Funding -- 4.2 Differences in Faculty -- 4.3 Targeted Suggestions -- 5 Conclusions -- References -- The Construction of the Influence Model of Artistic Creativity Based on AMOS Data Analysis -- 1 Research Motivation -- 2 Literature Review -- 3 Research Methods, Procedures and Assumptions -- 3.1 Research Structure -- 3.2 Research Hypothesis -- 3.3 Research Object -- 3.4 Research Tool -- 4 Analysis of Results -- 4.1 The Effect Verification of the Direct Effect of Innovation Atmosphere on Artistic Creativity -- 4.2 The Direct Effect of the Innovation Atmosphere on the Flow State and the Direct Effect of the Flow State on the Artistic Creativity -- 4.3 Mediation of Flow State -- 5 Conclusion and Suggestion -- 5.1 Innovation Atmosphere Has a Significant Positive Impact on Artistic Creativity -- 5.2 The Atmosphere of Organizational Innovation Has a Positive Impact on the State of Flow -- 5.3 Flow State Has a Positive Impact on Artistic Creativity -- 5.4 Flow State Plays a Completely Mediating Role in the Influence of Innovation Atmosphere on Artistic Creativity -- References -- The Construction of Mental Health Prediction Model Based on Data Mining Technology -- 1 Introductions. 2 Research on Mental Health Status and Data Mining Technology -- 2.1 Factors Affecting Mental Health -- 2.2 Data Mining -- 2.3 Predictive Analysis Algorithm -- 3 Construction of Mental Health Prediction Model Based on Data Mining Technology -- 3.1 Data Source -- 3.2 Evaluation Index -- 3.3 Prediction Steps -- 3.4 The Order of the Degree of Influence of the Independent Variable Factors on the Dependent Variable -- 3.5 Prediction Model Establishment -- 4 Detection of Predictive Models -- 5 Conclusions -- References -- Influence of Big Data Statistical Analysis Technology on Informational Learning Mode -- 1 Introduction -- 2 Educational Informatization and Talent Training Mode in the Information Environment -- 2.1 Information Technology Environment -- 2.2 Reform of Talent Training Mode Under the Information Environment -- 3 Teaching Experiment of Talent Training Model in Informatization Mode -- 3.1 Effect Inspection Method -- 3.2 Experimental Subject -- 3.3 Knowledge Level Test Paper -- 3.4 Data Statistics -- 4 Teaching Experimental Results of Talent Training Model in Information Mode -- 4.1 Comparison of Previous Two Groups -- 4.2 Comparison of Two Groups After Implementation -- 5 Conclusions -- References -- 3D Jewelry Design System Based on K-means Algorithm -- 1 Introduction -- 2 Jewelry 3D Design System Based on K-means Algorithm -- 2.1 Basic Principles of 3D Technology -- 2.2 Advantages of K-means Algorithm Application in Jewelry Design -- 2.3 3D Model Detail Optimization -- 3 Experiment -- 3.1 Interface Design -- 3.2 Login Module -- 3.3 Jewelry Attribute Selection Module -- 4 Discussion -- 5 Conclusions -- References -- The Development of Internet Plus Tourism Mode Based on Data Mining Technology -- 1 Introduction -- 2 The Development of IPT Based on DMT -- 2.1 IPT Development -- 2.2 IPT New Mode of Future Development Countermeasures. 2.3 Related Analysis of DMT. |
| Record Nr. | UNINA-9910743258103321 |
Atiquzzaman Mohammed
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City : Volume 2 / / edited by Mohammed Atiquzzaman, Neil Yen, Zheng Xu
| 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City : Volume 2 / / edited by Mohammed Atiquzzaman, Neil Yen, Zheng Xu |
| Autore | Atiquzzaman Mohammed |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (1157 pages) |
| Disciplina | 005.7 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Big data Quantitative research Computational Intelligence Big Data Data Analysis and Big Data |
| ISBN |
981-16-7468-X
981-16-7469-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743378703321 |
|
Atiquzzaman Mohammed
|
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Accelerating Discoveries in Data Science and Artificial Intelligence I : ICDSAI 2023, LIET Vizianagaram, India, April 24–25 / / edited by Frank M. Lin, Ashokkumar Patel, Nishtha Kesswani, Bosubabu Sambana
| Accelerating Discoveries in Data Science and Artificial Intelligence I : ICDSAI 2023, LIET Vizianagaram, India, April 24–25 / / edited by Frank M. Lin, Ashokkumar Patel, Nishtha Kesswani, Bosubabu Sambana |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (862 pages) |
| Disciplina | 006.3 |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Probabilities
Machine learning Mathematical statistics Quantitative research Probability Theory Machine Learning Mathematical Statistics Data Analysis and Big Data |
| ISBN | 3-031-51167-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analysis of fraud detection approaches in online payment systems (Mandakini) -- Investigating Context-Aware Sentiment Classification Using Machine Learning Algorithms (P. Kiumar) -- Opioid Recommendation To Arthroplasty Patients Using Pearson Correlation And Shapiro Wilk Test (R Sindhi) -- POS Tagger Using LSTM and Pre-Trained Word Embeddings (Joshi) -- An early-stage colorectal cancer detection from colonoscopy images using Enhanced Res-UNET (Mahanty) -- Prediction of Rice Leaf Diseases at an Early Stage using Deep Neural Networks (Mahanty) -- A Study of the impact of implementing a procedure for Creation of Risk Factor Software (Sriramulu) -- Chat Analysis and Spam Detection of Whatsapp using Machine Learning (Shaik) -- A Study of Hate Speech Detection Using Different Models (Mihir) -- Image Feature Narrator for Blind (R Soujanya) -- Recognition of Indian gestural language through neural networks: Narrative approach (Akula) -- Frequency and Voltage control of multi area multi source power system using whale optimization algorithm (Simhadri) -- Tumor Prediction Using Microarray Gene Expression Profiles Through SVM and CBFS (Bandyopadhyay) -- Advanced Machine Learning Approaches for Improving Traffic Flow Predictions in Smart Transportation Systems (Kanakaprabha) -- Deep Learning Based Surroundings Descriptor for Visually Challenged (Kasireddi) -- Wind power prediction using artificial neural network model : a case study (Bouabdallaoui) -- Optimizing Wind Farm Design by Incorporating Wind Turbines of Diverse Hub Heights through PSO (El jaadi) -- Use of Regression Algorithm for Bike Ride Sharing Demand Projection (Pangaonkar) -- Quantifiable Techniques To Improve Covid Expectation Model Of Cox Regression (G Priyanka) -- Bayesian Optimized Random Forest Classifier for Improved Credit Card Fraud Detection: Overcoming Challenges and Limitations (P K Rajesh) -- Early Stage Detection Of Pcos Using Deep Learning (Venkata) -- Challenges and advancement in Federated Recommendation System: A Comprehensive Review (Otari) -- Conditional DCGAN for Targeted Generation of MNIST Handwritten Digits (Vasamsetti) -- Predicting Cryptocurrency Price Using Multiple Deep Learning Models (Durga) -- An Overview: Progressive Report on Magic Labelling (Biswas) -- Efficient Object Detection, Segmentation, and Recognition using YOLO Model (Sharma) -- Music Genre Classification using XGB Boost (Himabindu) -- Semantic Web 3.0 Streaming Based Music Application (Shaik) -- A Novel Approach for Text Classification using Feature Selection Algorithm and Term Weight Measures (RaviKumar) -- Content Based Music Video Recommender system using Cosine Similarity (Musarrath) -- A comparative study on Anomaly Based Network Intrusion Detection System (Potti) -- A spatiotemporal comprehensive graph based learning for GIF sentiment analysis (Bhattacharyya) -- A Novel Framework for Detection of Objects from Video Using Deep Learning Technique (Mulla) -- Recognition of Emotion behind Speech using Deep Learning RESNET Algorithm (Pinnamaraju) -- Exploring Sign Language Recognition Methods: An Effective Kernel Approach (Manogna) -- Identification of Gradient based Attacks on Autonomous Vehicle Traffic Recognition system using Statistical method (Lakshmeeswari) -- Sentiment Analysis of Tweets Using TF-IDF Vectorizer and Lemmatization with POS-Tagging (Saripilli) -- An Overview of Interval-valued Intuitionistic Trapezoidal Fuzzy Number (IVITFN) and its Applications using Fuzzy Logic Techniques (Murty) -- A Machine Learning Approach for DDoS attacks detection in CIC-DDoS2019 dataset using Multiple linear regression algorithm (Lakshmeeswari) -- Image Fusion With CT And MRI Images For Improving The Quality Of Diagnostic (Shaik) -- Comparative Analysis Of Lung Sac Inflation (Kakulapati) -- Voice Assistant For Driver Drowsiness Detection (Gondi) -- Prediction Using Sentiment Analysis On Multi Domain Category: Stocks, Politics Using Twitter Repository (Gaviredla) -- Hyperparameter Optimization for Gradient Boosted Tree-Based Machine Learning Models and Their Effect on Model Performance (Abdulkader) -- Medical Data Security with Blockchain and Artificial Intelligence Using SecNet (Laxmikanth) -- A Regression Analysis of iPhone 11 Pricing Factors (Umesh) -- Classification of Alzheimer's Disease using deep learning methodologies on MR Images (Kumar) -- Taxonomy of Intrusion detection and its effectiveness in Internet of Things (Ramakrishna) -- Design And Evaluation Of Plant Leaf Disease Detection Based On Cnn Classification System (Ramakrishna) -- Air Pollution Forecasting using Deep Learning algorithms: A Review (M S Rao) -- Health Care Monitoring System using Artificial Intelligence for Diabetic Skin Diseases (Godi) -- Proposed framework for a doctor appointment using Chatbot in Tanzania (Chatumba) -- Blockchain-Based Ether Transmission, Which Gives Ledgers Transparency And Security (Tippana) -- Fruit Identification And Classification Using Machine Learning (Reddy) -- Impact of Covid-19 in Society and review of Machine Learning Algorithm in Diagnosis (Sivaramakrishnan) -- Medicinal Leaf Prediction and Disease Identification using Machine Learning Techniques (Srinivasa Rao) -- Deep Learning Approach For Expression Based Songs Recommendation System (Shaik) -- System Sound Control Using Gesticulations (Uzair) -- Modified Holographic Ricci Dark Energy Cosmological Model in Modified theory of Gravity (Satyanarayana) -- Web Application for detecting churn prediction in Banking using ANN (Kharat) -- Providing Security Properties Of Cloud Service Using Rest Api’s (Laxmikanth) -- Study and Research on Autism Spectrum Disorder using Supervised Machine Learning Techniques (Nekkanti) -- Semi-Automated Vehicle Controlled Using Wi-Fi (Dhanush) -- Disease Identification System for Aura Images Using Fruit Fly Optimization (FAO) Technique (Poojary) -- Hybrid Movie Recommendation System Based on User Preferences and Item Similarity (Bugatha) -- Comparison of Artificial Intelligentsystems for real time accident prone applications (Rao) -- Hand Talk Assistance With Tensorflow Single Shot Detector (Priyanka) -- A New Text Representation Technique based Approach for Authorship Verification (Reddy) -- Early Recognition And Ranking Of Knee Osteoarthritis By The Assistance Of Enhanced Deep Learning On Knee MR Image Data (Molleti) -- Smart Blind Stick with Wrist band: Obstacle Detection and Warning System (Ramyadevi) -- Crop Recommendation System Using Machine Learning (Grandhi) -- Exploring Public Perception and Opinion Trends on Agnipath Scheme through Sentiment Analysis and Topic Modeling of Tweets (Shaik) -- A Feature Selection Technique based Approach for Author Profiling using Word Embedding Techniques (Kavuri) -- Pothole Detection Using IOT To Help People (Bada) -- Machine Learning enhanced Diabetes Identification System (Adimalla) -- Diabetes Identification System using Machine Learning (Sambana) -- Identification & Analysis of neural disorders based on hyperactivityand spectrum disorder with functional-MRI (Bala) -- Review Analysis Using Web Scraping in Python (Roy) -- A Novel Approach Of Deep Neural Network Performance Analysis For Predicting Chronic Kidney Disease (Ramakrishna) -- A Stroke Complication Neural Network Model to Predict the Severity of Brain Stroke Using Family History (Bandi) -- Automating Curriculum Vitae Recommendation Processes through Machine Learning (Laxikanth) -- Application Controlling Using Hand Gestures Through Yolov5s (Chadram) -- Chili Leaves Disease Identification using Artificial Neural Network Algorithms (kantharaju). |
| Record Nr. | UNINA-9910865293703321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Access to Non-Summary Clinical Trial Data for Research Purposes Under EU Law / / by Daria Kim
| Access to Non-Summary Clinical Trial Data for Research Purposes Under EU Law / / by Daria Kim |
| Autore | Kim Daria |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (310 pages) |
| Disciplina | 342.240662 |
| Collana | Munich Studies on Innovation and Competition |
| Soggetto topico |
Information technology - Law and legislation
Mass media - Law and legislation Medical laws and legislation Law - Europe Clinical medicine - Research Quantitative research IT Law, Media Law, Intellectual Property Medical Law European Law Clinical Research Data Analysis and Big Data |
| ISBN | 3-030-86778-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PART ONE: Setting the Scene -- Introduction -- The Context and the Problem in Focus -- Secondary Analysis of Clinical Trial Data - A Primer -- PART TWO: Analysis de lege lata,- Legal Sources of Control over and Access to Clinical Trial Data under the EU Applicable Framework -- Implications of IPD Disclosure for Statutory Innovation Incentives PART THREE: Analysis de lege ferenda -- Defining the Intervention Logic of Access-To-Data Measures - A Problem Analysis -- Access to Clinical Trial Data as a Case on R&D Externalities - A Theoretical Framework -- IPD as a Research Resource - Exclusively Controlled or Readily Accessible? -- Evaluating Legislative Options -- Final Conclusions and the Outlook. |
| Record Nr. | UNINA-9910506380003321 |
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Kim Daria
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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ACM/IMS transactions on data science
| ACM/IMS transactions on data science |
| Pubbl/distr/stampa | New York, NY : , : Association for Computing Machinery, , [2020]- |
| Descrizione fisica | 1 online resource |
| Disciplina | 006 |
| Soggetto topico |
Data mining - Statistical methods
Big data - Statistical methods Quantitative research Données volumineuses - Méthodes statistiques Recherche quantitative |
| Soggetto genere / forma | Periodicals. |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
TDS
Transactions on data science ACM transactions on data sciencec |
| Record Nr. | UNISA-996548964503316 |
| New York, NY : , : Association for Computing Machinery, , [2020]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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ACM/IMS transactions on data science
| ACM/IMS transactions on data science |
| Pubbl/distr/stampa | New York, NY : , : Association for Computing Machinery, , [2020]- |
| Descrizione fisica | 1 online resource |
| Disciplina | 006 |
| Soggetto topico |
Data mining - Statistical methods
Big data - Statistical methods Quantitative research Données volumineuses - Méthodes statistiques Recherche quantitative |
| Soggetto genere / forma | Periodicals. |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
TDS
Transactions on data science ACM transactions on data sciencec |
| Record Nr. | UNINA-9910412143603321 |
| New York, NY : , : Association for Computing Machinery, , [2020]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Actionable Science of Global Environment Change : From Big Data to Practical Research / / edited by Ziheng Sun
| Actionable Science of Global Environment Change : From Big Data to Practical Research / / edited by Ziheng Sun |
| Autore | Sun Ziheng |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (390 pages) |
| Disciplina | 551.6 |
| Soggetto topico |
Climatology
Quantitative research Sampling (Statistics) Climate Sciences Data Analysis and Big Data Methodology of Data Collection and Processing |
| ISBN | 3-031-41758-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: What is “Actionable” Science for Climate and Environment -- Chapter 2: Data Foundation for Actionable Science -- Chapter 3: Technology Landscape for Making Climate and Environmental Science “Actionable” -- Chapter 4: Actionable Science for Greenhouse Gas Emission Reduction -- Chapter 5: Actionable Science for Hurricanes -- Chapter 6: Actionable Science for Wildfire Response -- Chapter 7: Actionable Science for Sea Level Rising -- Chapter 8: Actionable Science for Irrigation -- Chapter 9: Actionable Science for Snow Monitoring and Response -- Chapter 10: Towards more actionable vulnerability indices for Global Environmental Change -- Chapter 11: Actionable Science in Environmental Health -- Chapter 12: Actionable AI for Climate and Environment -- Chapter 13: Actionable Environmental Science through Social Media Platforms -- Chapter 14: Ethics and Accountability of Science in Action. |
| Record Nr. | UNINA-9910760265803321 |
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Sun Ziheng
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Adaptive Intelligence : Select Proceedings of InCITe 2024, Volume 1 / / edited by Nitasha Hasteer, Seán McLoone, Purushottam Sharma, Ranjana Nallamalli
| Adaptive Intelligence : Select Proceedings of InCITe 2024, Volume 1 / / edited by Nitasha Hasteer, Seán McLoone, Purushottam Sharma, Ranjana Nallamalli |
| Autore | Hasteer Nitasha |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (710 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
McLooneSean
SharmaPurushottam NallamalliRanjana |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Computational intelligence
Artificial intelligence Quantitative research Computational Intelligence Artificial Intelligence Data Analysis and Big Data |
| ISBN |
9789819790456
981979045X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computational Intelligence: Theoretical Foundation -- Computational Intelligence & Knowledge Discovery -- Computational Intelligence & Data Science -- Computational Intelligence for Information Security -- Computational Intelligence & IoT enabling Architectures -- Computational Intelligence & its applications -- Computational Paradigms. |
| Record Nr. | UNINA-9910984686803321 |
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Hasteer Nitasha
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Analytics in Power BI with R and Python : Ingesting, Transforming, Visualizing / / by Ryan Wade
| Advanced Analytics in Power BI with R and Python : Ingesting, Transforming, Visualizing / / by Ryan Wade |
| Autore | Wade Ryan |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 |
| Descrizione fisica | 1 online resource (XLVI, 391 p. 84 illus.) |
| Disciplina | 001.4226028566 |
| Soggetto topico |
Microsoft software
Microsoft .NET Framework Quantitative research Big data Microsoft Data Analysis and Big Data Big Data |
| ISBN | 1-4842-5829-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Creating Custom Data Visualizations using R -- 1. The Grammar of Graphics -- 2. Creating R custom visuals in Power BI using ggplot2 -- Part II. Ingesting Data into the Power BI Data Model using R and Python -- 3. Reading CSV Files -- 4. Reading Excel Files -- 5. Reading SQL Server Data -- 6. Reading Data into the Power BI Data Model via an API -- Part III. Transforming Data using R and Python.-7. Advanced String Manipulation and Pattern Matching -- 8. Calculated Columns using R and Python -- Part IV. Machine Learning & AI in Power BI using R and Python -- 9. Applying Machine Learning and AI to your Power BI Data Models -- 10. Productionizing Data Science Models and Data Wrangling Scripts. . |
| Record Nr. | UNINA-9910427050203321 |
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Wade Ryan
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soggetto topico
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Quantitative research
(761)
- Data Analysis and Big Data (638)
- Artificial Intelligence (171)
- Artificial intelligence (170)
- Computational Intelligence (165)