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User-defined tensor data analysis by Dong, Bin

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

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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.…”
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Big data analytics using Splunk by Zadrozny, Peter

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The data science handbook by Cady, Field, 1984-

Contents: “…-- 16.2 The Great Divide: Language versus Statistics -- 16.3 Example: Sentiment Analysis on Stock Market Articles -- 16.4 Software and Datasets -- 16.5 Tokenization -- 16.6 Central Concept: Bag-of-Words -- 16.7 Word Weighting: TF-IDF -- 16.8 n-Grams -- 16.9 Stop Words -- 16.10 Lemmatization and Stemming 16.11 Synonyms -- 16.12 Part of Speech Tagging -- 16.13 Common Problems -- 16.14 Advanced NLP: Syntax Trees, Knowledge, and Understanding -- 16.15 Further Reading -- 16.16 Glossary -- Chapter 17 Time Series Analysis -- 17.1 Example: Predicting Wikipedia Page Views -- 17.2 A Typical Workflow -- 17.3 Time Series versus Time-Stamped Events -- 17.4 Resampling an Interpolation -- 17.5 Smoothing Signals -- 17.6 Logarithms and Other Transformations -- 17.7 Trends and Periodicity -- 17.8 Windowing -- 17.9 Brainstorming Simple Features -- 17.10 Better Features: Time Series as Vectors -- 17.11 Fourier Analysis: Sometimes a Magic Bullet -- 17.12 Time Series in Context: The Whole Suite of Features -- 17.13 Further Reading -- 17.14 Glossary -- Chapter 18 Probability -- 18.1 Flipping Coins: Bernoulli Random Variables -- 18.2 Throwing Darts: Uniform Random Variables -- 18.3 The Uniform Distribution and Pseudorandom Numbers -- 18.4 Nondiscrete, Noncontinuous Random Variables -- 18.5 Notation, Expectations, and Standard Deviation -- 18.6 Dependence, Marginal and Conditional Probability -- 18.7 Understanding the Tails -- 18.8 Binomial Distribution -- 18.9 Poisson Distribution -- 18.10 Normal Distribution -- 18.11 Multivariate Gaussian -- 18.12 Exponential Distribution -- 18.13 Log-Normal Distribution -- 18.14 Entropy 18.15 Further Reading -- 18.16 Glossary -- Chapter 19 Statistics -- 19.1 Statistics in Perspective -- 19.2 Bayesian versus Frequentist: Practical Tradeoffs and Differing Philosophies -- 19.3 Hypothesis Testing: Key Idea and Example -- 19.4 Multiple Hypothesis Testing -- 19.5 Parameter Estimation -- 19.6 Hypothesis Testing: t-Test -- 19.7 Confidence Intervals -- 19.8 Bayesian Statistics -- 19.9 Naive Bayesian Statistics -- 19.10 Bayesian Networks -- 19.11 Choosing Priors: Maximum Entropy or Domain Knowledge -- 19.12 Further Reading -- 19.13 Glossary -- Chapter 20 Programming Language Concepts -- 20.1 Programming Paradigms -- 20.2 Compilation and Interpretation -- 20.3 Type Systems -- 20.4 Further Reading -- 20.5 Glossary -- Chapter 21 Performance and Computer Memory -- 21.1 Example Script -- 21.2 Algorithm Performance and Big-O Notation -- 21.3 Some Classic Problems: Sorting a List and Binary Search -- 21.4 Amortized Performance and Average Performance -- 21.5 Two Principles: Reducing Overhead and Managing Memory -- 21.6 Performance Tip: Use Numerical Libraries When Applicable -- 21.7 Performance Tip: Delete Large Structures You Don't Need -- 21.8 Performance Tip: Use Built-In Functions When Possible -- 21.9 Performance Tip: Avoid Superfluous Function Calls -- 21.10 Performance Tip: Avoid Creating Large New Objects -- 21.11 Further Reading -- 21.12 Glossary -- Part III Specialized or Advanced Topics -- Chapter 22 Computer Memory and Data Structures -- 22.1 Virtual Memory, the Stack, and the Heap -- 22.2 Example C Program -- 22.3 Data Types and Arrays in Memory -- 22.4 Structs -- 22.5 Pointers, the Stack, and the Heap -- 22.6 Key Data Structures -- 22.7 Further Reading -- 22.8 Glossary -- Chapter 23 Maximum Likelihood Estimation and Optimization -- 23.1 Maximum Likelihood Estimation -- 23.2 A Simple Example: Fitting a Line -- 23.3 Another Example: Logistic Regression -- 23.4 Optimization -- 23.5 Gradient Descent and Convex Optimization -- 23.6 Convex Optimization -- 23.7 Stochastic Gradient Descent -- 23.8 Further Reading -- 23.9 Glossary -- Chapter 24 Advanced Classifiers -- 24.1 A Note on Libraries -- 24.2 Basic Deep Learning -- 24.3 Convolutional Neural Networks -- 24.4 Different Types of Layers.…”
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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.…”
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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. …”
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IoT solutions in Microsoft's Azure IoT suite : data acquisition and analysis in the real world by Klein, Scott, 1966-

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