Data mining : 20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022, proceedings / / edited by Laurence A. F. Park

• Record Nr.: UNINA9910633935503321
• Pubbl/distr/stampa: Singapore : , : Springer, , [2023]; ©2023
• ISBN: 981-19-8746-7
• Descrizione fisica: 1 online resource (256 pages)
• Collana: Communications in Computer and Information Science ; ; v.1741
• Disciplina: 006.312
• Soggetti: Data mining
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes index.
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Research Track -- Measuring Content Preservation in Textual Style Transfer -- 1 Introduction -- 2 Background and Motivation -- 2.1 Cosine Similarity -- 2.2 Disentanglement of Style and Content -- 2.3 The Style Invariant Embedding Assumption -- 3 Experiment -- 3.1 Dataset -- 3.2 Procedure -- 4 Results and Discussion -- 5 Conclusion -- References -- A Temperature-Modified Dynamic Embedded Topic Model -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 The Dynamic Embedded Topic Model -- 3.2 The Proposed Approach: DETM-tau -- 4 Experiments and Results -- 4.1 Experimental Set-Up -- 4.2 Results -- 5 Conclusion -- References -- Measuring Difficulty of Learning Using Ensemble Methods -- 1 Introduction -- 2 Related Work -- 3 Instance Difficulty -- 3.1 Difficulty Measures -- 4 Experiments -- 5 Conclusion -- References -- Graph Embeddings for Non-IID Data Feature Representation Learning -- 1 Introduction -- 2 Background and Related Work -- 2.1 Classification Models and IID Assumption -- 2.2 Graph and Knowledge Graph Embeddings -- 2.3 Summary -- 3 Methodology -- 4 Dataset and Experiment Design -- 4.1 Dataset -- 4.2 Experiment Design -- 5 Results and Discussions -- 5.1 Imbalanced Data -- 5.2 Advantage of Using the Node2vec Embeddings -- 5.3 Evaluation and Discussion -- 6 Conclusions and Future Work -- 6.1 Traffic -- 6.2 Learn Feature Representation for Non-IID Data via Graph ; Embeddings -- 6.3 Future Work -- References -- Enhancing Understandability of Omics Data with SHAP, Embedding Projections and Interactive Visualisations -- 1 Introduction -- 2 Framework for Using SHAP to Optimise UMAP and PCA Input Data -- 2.1 Initial Visualisations from the UMAP and PCA Projection Methods -- 2.2 Explainable Machine Learning SHAP for Important Feature Selection -- 2.3 Final Optimised Visualisations.; 3 UMAP and PCA Visualisations -- 3.1 Datasets -- 3.2 How Do PCA, UMAP, and SHAP Work? -- 3.3 Similar Projection and Clustering Patterns Between PCA and UMAP -- 4 Rank and Select the Most Important Features with SHAP -- 5 Validation of the SHAP Results -- 6 Conclusion and Future Work -- References -- WinDrift: Early Detection of Concept Drift Using Corresponding and Hierarchical Time Windows -- 1 Introduction -- 2 Preliminaries -- 3 The WinDrift (WD) Method -- 3.1 Key Components -- 3.2 Step-by-Step Description -- 4 Experimental Results -- 4.1 Experimental Setup -- 4.2 Datasets -- 4.3 Numerical Results -- 5 Conclusion and Future Work -- References -- Investigation of Explainability Techniques for Multimodal Transformers -- 1 Introduction -- 2 Problem Definition -- 2.1 Quantifying Syntactic Grounding Through Label Attribution -- 2.2 Investigating Semantic Relationships Through Optimal Transport -- 3 Explainability Techniques -- 3.1 Label Attribution -- 3.2 Optimal Transport -- 4 A Case Study in VisualBERT Explainability -- 5 Conclusion -- References -- Effective Imbalance Learning Utilizing Informative Data -- 1 Introduction -- 2 Related Work -- 2.1 Sampling Method -- 2.2 Cost-Sensitive Methods -- 2.3 Ensemble Methods -- 2.4 Data Representation -- 3 Proposed Framework and Approach -- 3.1 Informative Samples Located -- 3.2 Extracting Information -- 3.3 Model Test -- 4 Experiments and Results -- 4.1 Results on General Test -- 4.2 Results on Different Reference Data -- 5 Conclusion -- References -- Interpretable Decisions Trees via Human-in-the-Loop-Learning -- 1 Introduction -- 2 Learning Classifiers Involving Dataset Visualisations -- 3 Experts Iteratively Construct Decision Trees -- 3.1 Using Parallel Coordinates -- 3.2 The Splits the User Shall Apply -- 3.3 Information that Supports Interaction -- 3.4 Visualising the Tree -- 3.5 Visualising Rules.; 4 Design of the Usability Evaluation -- 5 Results -- 5.1 Validity Threats -- 6 Conclusion -- References -- Application Track -- A Comparative Look at the Resilience of Discriminative and Generative Classifiers to Missing Data in Longitudinal Datasets -- 1 Introduction -- 2 Background and Related Work -- 3 LoGAN: A GAN Based Longitudinal Classifier for Missing Data -- 3.1 The LoGAN Approach -- 4 Experiments -- 4.1 Dataset -- 4.2 Baseline Models -- 4.3 Experimental Setup and Model Design -- 4.4 Evaluation Criteria -- 5 Results and Discussion -- 5.1 Training Performance by Model Setting -- 5.2 Performance on Balanced Data -- 5.3 Performance on Imbalanced Data -- 6 Final Remarks -- 7 Conclusions -- References -- Hierarchical Topic Model Inference by Community Discovery on Word Co-occurrence Networks -- 1 Introduction -- 2 Related Work -- 3 Community Topic -- 3.1 Co-occurrence Network Construction -- 3.2 Community Mining -- 3.3 Topic Filtering and Term Ordering -- 3.4 Topic Hierarchy -- 4 Empirical Evaluation -- 4.1 Datasets -- 4.2 Preprocessing -- 4.3 Evaluation Metrics -- 5 Results -- 6 Conclusion -- References -- UMLS-Based Question-Answering Approach for Automatic Initial Frailty Assessment -- 1 Introduction -- 2 Related Work -- 3 The Proposed Approach -- 3.1 Discovery of UMLS Based Concepts -- 3.2 UMLS-Based Concept Selection Algorithm -- 3.3 Answering TFI Questionnaire Using UMLS-Based Concepts -- 3.4 Frailty ; Assessment -- 4 Experiment and Results -- 4.1 Dataset -- 4.2 Experiment Settings -- 4.3 Results -- 5 Discussion -- 6 Conclusion -- References -- Natural Language Query for Technical Knowledge Graph Navigation -- 1 Introduction -- 2 Related Work -- 3 Approach -- 4 Application -- 4.1 Overview of Maintenance KG -- 4.2 Neural Named Entity Recognition Ensemble -- 5 Results and Discussion -- 5.1 Ensemble NER Performance Analysis.; 5.2 Question Types Discussion -- 6 Conclusions and Future Work -- References -- Decomposition of Service Level Encoding for Anomaly Detection -- 1 Introduction -- 2 Algorithm and Notations -- 2.1 Input/Output Spaces -- 2.2 Algorithm -- 2.3 Defining Interval Sub Extreme (SE) -- 3 Results -- 3.1 Physiotherapy Service Levels -- 3.2 General Practitioner Service Levels -- 3.3 Psychiatric Service Levels -- 3.4 Discipline Comparison -- 4 Summary and Further Work -- References -- Improving Ads-Profitability Using Traffic-Fingerprints -- 1 Introduction -- 2 Algorithm -- 2.1 Step 1 - Clustering of Domains -- 2.2 Step 2 - Creating Blocking Rules -- 2.3 Step 3 - Reassigning Domains to Clusters -- 3 Offline Experiments -- 4 Online Experiments -- 5 Conclusions -- References -- Attractiveness Analysis for Health Claims on Food Packages -- 1 Introduction -- 2 Related Work -- 3 Consumer Preference Prediction of Health Claims -- 3.1 Dataset Collection -- 3.2 Prediction Model -- 4 Evaluation and Results -- 5 Case Studies -- 5.1 Specialised Terminology Factors -- 5.2 Sentiment and Metaphoricity Factors -- 6 The Deployment of the Proposed Attractiveness Analysis Model -- 7 Conclusion -- References -- SchemaDB: A Dataset for Structures in Relational Data -- 1 Introduction -- 1.1 Existing Datasets -- 1.2 Challenges of Flat Data -- 2 Dataset Curation -- 2.1 Collection and Filtration -- 2.2 Graph Transform and Canonisation -- 2.3 Heuristic Augmentation -- 3 Analytics -- 3.1 Summary Statistics -- 4 Research Potential and Applications -- 5 Conclusion -- References -- Author Index.

Realtime web apps : with HTML5 WebSocket, PHP, and JQuery / / Jason Lengstorf, Phil Leggetter

• Record Nr.: UNINA9910438099403321
• Autore: Lengstorf Jason
• Pubbl/distr/stampa: Berkeley, CA, : Apress, 2013
• ISBN: 9781430246213; 1430246219
• Edizione: [1st ed. 2013.]
• Descrizione fisica: 1 online resource (298 p.)
• Collana: The expert's voice in web development
• Altri autori (Persone): LeggetterPhil
• Disciplina: 006.76
• Soggetti: Web site development; Application software - Development
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes index.
• Nota di contenuto: Cover; Title Page; Copyright Page; Dedication Page; Contents at a Glance; Table of Contents; About the Authors; Acknowledgments; Introduction; PART I Getting Familiar with the Required Technologies; CHAPTER 1 What Is Realtime?; The Evolution of Media; Web Sites, Not Web Apps; HTTP Hacks; But First: What Does "Realtime" Actually Mean?; AJAX; Polling; HTTP Long-Polling; HTTP Streaming; Additional Problems with HTTP-based Solutions in Web Browsers; The Solution: WebSockets; The WebSocket Protocol; Why Bother Learning about Realtime Web Technologies?; Using Realtime Web Technologies in Your Apps NowSummary; CHAPTER 2 The Tools; What Are We Building?; What Does That Mean Development-Wise?; Choosing Our Tools; HTML5; Why Do We Need It?; What Role Does it Play?; How Does it Work?; CSS3; Why Do We Need It?; What Role Does It Play?; How Does It Work?; JavaScript and jQuery; Why Do We Need It?; What Role Does It Play?; How Does It Work?; PHP; Why Do We Need It?; What Role Does It Play?; How Does It Work?; MySQL; Why Do We Need It?; What Role Does It Play?; How Does It Work?; HTML5 WebSocket Technology and Pusher; Why Do We Need It?; What Role Does It Play?How Does It Work?; OAuth; Why Do We Need It?; What Role Does It Play?; How Does It Work?; Summary; CHAPTER 3 Pusher; A Brief History of Pusher; Why Use Pusher?; Scalability; WebSocket, Fallback Support, and Auto-Reconnect; Other Client ; Libraries; REST API; Server Libraries; Developer Tools; Documentation; Pusher Terminology; Getting Started with Pusher; Using Pusher to Send Events; Debugging Your Pusher Application; Summary; PART II Planning the App; CHAPTER 4 Choosing Web Apps Over Native Apps; Why Does It Matter?; Factors to Consider; Know Your User; Marketing; Sales; DistributionLook, Feel, and Performance; Development; Language and Platform; Maintenance; Testing; Feature Support; Connectivity; Choosing Based on Requirements; Choosing Web Apps Over Native Apps; What Does this App Do?; How Does this App Make Money?; How Will People Use this App?; Does this App Need Access to Any Device Hardware?; The Final Decision: Let's Build a Web App; Summary; CHAPTER 5 Determining the App's Functionality and Structure; What Does the App Do?; Give the App a Mission Statement; What Doesn't the App Do?; What Roles Will Users Play?; Presenter; Attendees; Front-End PlanningWhat Technologies Are We Using?; Using HTML5; Going Minimalist with the HTML; Abusing the Element; Using Completely Opaque Class Names; Completely Ignoring Indentation; CSS3, Media Queries, and How That Affects the Design and HTML; One- and Two-Column Layouts; Clickable Areas and Fat Fingers; Effects and Animations; Upvoting a Question; Answering a Question; Feedback from UI Elements; Other Effects; Back-End Planning; Model View Controller; Determining the Database Structure; What Data Needs to Be Stored?; Database Normalization; Determining the Tables and Structure; Presenters Table
• Sommario/riassunto: Realtime Web Apps: With HTML5 WebSocket, PHP, and jQuery is a guide for beginner- to intermediate-level web developers looking to take the next leap forward in website and app development: realtime. With Realtime Web Apps, you’ll be able to quickly get up to speed on what HTML5 WebSocket does, how it is going to affect the future of the web as we know it, and—thanks to Pusher’s simple API—start developing your first realtime app today. Using a practical approach rather than focusing on dry theory, Realtime Web Apps will guide you through building your first app using HTML5, CSS3, jQuery, and Pusher. After your initial introduction to the technologies used in the book, you’ll immediately jump into the process of creating a realtime Q&A app that will work on desktop browsers as well as mobile phones (including iOS and Android). In addition to learning realtime development strategies, you’ll also learn progressive development strategies including responsive CSS3 layouts, AJAX development with jQuery, and more. The future of the web is realtime. Grab your hoverboard. Introduces you to the revolutionary capabilities of the HTML5 WebSocket API Gets you started with WebSocket immediately using the super-simple Pusher API Walks you through the development of a real-life realtime web app Gets you working with responsive layouts, jQuery, and AJAX development.