Search Results - (( Defined (contribution OR contributions) ((pensions plans) OR (pension plans)) ) OR ((( Defined distribution ((operation plan) OR (((operational plan) OR (operating a)))) ) OR ( Defined ((distribution erosion) OR (distribution decision)) plans ))))

User-defined tensor data analysis by Dong, Bin

SpringerLink - Click here for access

Big data and the internet of things : enterprise information architecture for a new age by Stackowiak, Robert, Licht, Art, Mantha, Venu, Nagode, Louis

SpringerLink - Click here for access

Modern enterprise business intelligence and data management : a roadmap for IT directors, managers, and architects by Simon, Alan, 1958-

Contents: “…Cover; Title Page; Copyright Page; Table of contents; Preface; Terminology; Defining "Enterprise"; Defining "Data"; Defining "Enterprise Data Management"; Defining "Business Intelligence"; About the author; Chapter 1 -- The Rebirth of Enterprise Data Management; 1.1 -- In the beginning: how we got to where we are today; 1.1.1 -- 1960s and 1970s; 1.1.2 -- 1980s; 1.1.2.1 -- Enterprise Data Models; 1.1.2.2 -- Distributed Database Management Systems (DDBMSs); 1.1.3 -- 1990s; 1.1.3.1 -- Data Warehousing; 1.1.3.2 -- Read-Only Distributed Data Access; 1.1.4 -- 2000s; 1.1.5 -- Today.…”
Elsevier - Click here for access

Big data analytics using Splunk by Zadrozny, Peter

SpringerLink - Click here for access

Future data and security engineering : big data, security and privacy, smart city and Industry 4.0 applications : 10th International Conference, FDSE 2023, Da Nang, Vietnam, Novemb... by FDSE (Conference) Da Nang, Vietnam), SpringerLink (Online service)

Contents: “…An experiment report -- Authenticating Parties in Blockchain-Enabled Inter-Organizational Processes with Configurable Challenge-Sets -- Differential Privacy for Consumer Data in Retail Data Partnerships -- Using transformer technique for intrusion detection -- Machine Learning and Artificial Intelligence for Security and Privacy -- A Siamese-Based Approach for Network Intrusion Detection Systems in Software-Defined Networks -- An Efficient Machine Learning-based Web Application Firewall with Deep Automated Pattern Categorization -- Utilizing InfoGAN and PE Header Features for Synthetic Ransomware Image Generation: An Experimental Study -- Enhancing Detection of Daily-Used Face Swap Applications by Using Focused Landmark Analysis -- Differential Privacy under Membership Inference Attacks -- Smart City and Industry 4.0 Applications -- LAVETTES: Large-scAle-dataset Vietnamese ExTractive TExt Summarization Models -- Exploring Links between Personality Traits and Environmental Attitudes with GreenBig5 System -- Study on Web Based Virtualized Containers for Software Development Lectures in BYOD -- Session-based Recommendation System Approach for Predicting Learning Performance -- A Fuzzy Logic Model for Digital Transformation Assessment of Vietnamese Higher Education Institutions -- Digital Transformation Insights from an AI Solution in Search of a Problem -- Improving Human Resources⁰́₉ Efficiency with A Generative AI-based Resume Analysis Solution -- LORAP: Local Deep Neural Network for Solar Radiation Prediction -- A Digital Therapeutics System for the Diagnosis and Management of Depression: Work in Progress -- BERT-based Sentence Recommendation for Building Vietnamese Universal Dependency Treebank -- Evaluate the Efficiency of Hybrid Model based on Convolutional Neural Network and Long Short-Term Memory in Information Technology Job Graph Network -- A Dataset of Vietnamese Documents for Text Detection -- Data Analytics and Healthcare Systems -- Personalized Stress Detection System Using Physiological Data from Wearable Sensors -- Vision Transformer for Kidney Stone Detection -- Attention Models and Image Pre-Processing For Covid- 19 Detection Based on Lung Ultrasound Images -- Deep Learning Techniques for Segmenting Breast Lesion Regions and Classifying Mammography Images -- Development of a Handwriting Drawings Assessment System for Early Parkinson⁰́₉s Disease Identification with Deep Learning Methods -- Breast Cancer Classification on Mammograms Using Vision Transformer -- Comparing Performance of Linear Regression Models Trained on Systemathic Forest Measurement Datasets to Predict Diameter at Breast Height -- Detection and Segmentation of Brain Tumors on 3D MR images Using 3D U-Net -- Short Papers: Security and Data Engineering -- Towards Automating Semantic Relationship Awareness in Operational Technology Monitoring -- Feature Fool Exploitation for Lightweight Anomaly Detection in Respiratory Sound -- Multiple Vehicles Detection and Tracking using Ground and Aerial Images for Vehicular Management System -- Deep Learning Approach for Tomato Leaf Disease Detection -- Invasive Ductal Carcinoma Classification from Whole Slide Image based on BRISQUE and Convolutional Neural Networks -- Robust and Accurate Automatic License Plate Recognition System -- Community Detection for Personalized Learning Pathway Recommendations on IT E-Learning System -- Improving Warped Planar Object Detection Network for Automatic License Plate Recognition.…”
SpringerLink - Click here for access

Software architecture for big data and the cloud First edition. by ScienceDirect (Online service)

Contents: “…Note continued: 3.5.Architecture Example -- Context Management in the IoT -- 3.6.Big Data Origins and Characteristics -- 3.7.The Systems That Capture and Process Big Data -- 3.8.Operating Across Organizational Silos -- 3.9.Architecture Example -- Local Processing of Big Data -- 3.10.Architecture Example -- Creating a Multichannel View -- 3.11.Application Independent Data -- 3.12.Metadata and Governance -- 3.13.Conclusions -- 3.14.Outlook and Future Directions -- References -- ch. 4 Domain-Driven Design of Big Data Systems Based on a Reference Architecture / Ioannis N. …”
Elsevier - Click here for access

IoT solutions in Microsoft's Azure IoT suite : data acquisition and analysis in the real world by Klein, Scott, 1966-

SpringerLink - Click here for access

The data science handbook by Cady, Field, 1984-

Contents: “…-- 3.2 A Survey of Programming Languages for Data Science -- 3.3 Python Crash Course -- 3.4 Strings -- 3.5 Defining Functions -- 3.6 Python's Technical Libraries -- 3.7 Other Python Resources -- 3.8 Further Reading -- 3.9 Glossary -- Interlude: My Personal Toolkit -- Chapter 4 Data Munging: String Manipulation, Regular Expressions, and Data Cleaning -- 4.1 The Worst Dataset in the World -- 4.2 How to Identify Pathologies -- 4.3 Problems with Data Content -- 4.4 Formatting Issues -- 4.5 Example Formatting Script4.6 Regular Expressions -- 4.7 Life in the Trenches -- 4.8 Glossary -- Chapter 5 Visualizations and Simple Metrics -- 5.1 A Note on Python's Visualization Tools -- 5.2 Example Code -- 5.3 Pie Charts -- 5.4 Bar Charts -- 5.5 Histograms -- 5.6 Means, Standard Deviations, Medians, and Quantiles -- 5.7 Boxplots -- 5.8 Scatterplots -- 5.9 Scatterplots with Logarithmic Axes -- 5.10 Scatter Matrices -- 5.11 Heatmaps -- 5.12 Correlations -- 5.13 Anscombe's Quartet and the Limits of Numbers -- 5.14 Time Series -- 5.15 Further Reading -- 5.16 Glossary -- Chapter 6 Machine Learning Overview -- 6.1 Historical Context -- 6.2 Supervised versus Unsupervised6.3 Training Data, Testing Data, and the Great Boogeyman of Overfitting -- 6.4 Further Reading -- 6.5 Glossary -- Chapter 7 Interlude: Feature Extraction Ideas -- 7.1 Standard Features -- 7.2 Features That Involve Grouping -- 7.3 Preview of More Sophisticated Features -- 7.4 Defining the Feature You Want to Predict -- Chapter 8 Machine Learning Classification -- 8.1 What Is a Classifier, and What Can You Do with It? …”
Prospector EBC - Click here for access

Foundations of data intensive applications : large scale data analytics under the hood by Kamburugamuve Loku Acharilage, Supun Madhushanka Kamburugamuva, Ekanayake, Saliya