Data Science and Intelligent Systems: Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2, Silhavy Radek, Silhavy Petr, Prokopova Zdenka
Описание: In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data.
Описание: This book constitutes the refereed proceedings of the 4th Computational Methods in Systems and Software 2020 (CoMeSySo 2020) proceedings. The CoMeSySo 2020 conference is breaking the barriers, being held online. CoMeSySo 2020 intends to provide an international forum for the discussion of the latest high-quality research results.
Автор: Radek Silhavy; Petr Silhavy; Zdenka Prokopova Название: Computational and Statistical Methods in Intelligent Systems ISBN: 3030002101 ISBN-13(EAN): 9783030002107 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents real-world problems and pioneering research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of intelligent systems. It gathers the peer-reviewed proceedings of the 2nd Computational Methods in Systems and Software 2018 (CoMeSySo 2018), a conference that broke down traditional barriers by being held online. The goal of the event was to provide an international forum for discussing the latest high-quality research results.
Описание: This book constitutes the refereed proceedings of the 13th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2021, held in Phuket, Thailand, in April 2021.*The 67 full papers accepted for publication in these proceedings were carefully reviewed and selected from 291 submissions.
Описание: Theory and Reviews Difficulties and disparities to distance learning during Covid-19 period for deaf students - A proposed method to eradicate inequalities.- Wide-scale Automatic Analysis of 20 Years of ITS Research.- A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs.- Models DiKT: Dichotomous Knowledge Tracing.- CompPrehension - Model-Based Intelligent Tutoring System on Comprehension Level.- Learning Logical Reasoning Using an Intelligent Tutoring System: Improving the Student Model with a data driven approach.- Checking Method for Fake News to Avoid the Twitter Effect.- Comparing Bayesian Knowledge Tracing Model Against Naпve Mastery Model.- Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums.- Concept Maps Creating and Visualising Cognitive Maps of Knowledge Diagnosis During the Processing of Learning Digital Footprint.- Integrating Knowledge in Collaborative Concept Mapping: Cases in an Online Class Setting.- An evaluation of a meaningful discovery learning support system for supporting E-book user in pair learning.- Semantic Comparison of Concept Maps for Structuring Learning Activities.- Student Prediction Next week dropout prediction in MOOCs: weekly assessment of time and learning patterns.- Internet of Things (IoT) Based Support System for Diabetic Learners in Saudi Arabian High Schools.- Training Temporal and NLP Features via Extremely Randomised Trees for Educational Level Classification.- Analysis of Learners' Comments: an Automated Intervention Priority Model for MOOC.- Early Predictor for Student Success Based on Behavioural and Demographical Indicators.- Predicting Certification in MOOCs based on Students' Weekly Activities.- Learner Behaviour Recognizing Novice Learners' Modeling Behaviors.- Novice, and Intermediate Performance: Exploring the Relationship Between Clinical Reasoning Behaviors and Diagnostic Performance.- Agent-based Simulation of the Classroom Environment to Gauge the Effect of Inattentive or Disruptive Students.- Investigating Clues for Estimating ICAP States based on Learners' Behavioural Data during Collaborative Learning.- Behaviour Analytics - A Moodle Plug-in to Visualize Students' Learning Patterns.- Toward an ITS to enhance novice clinician situational awareness based on expert perception behaviors in clinical reasoning.- Feedback and Personalisation Flexible Program Alignment to Deliver Data-Driven Feedback to Novice Programmers.- Interaction of human cognitive mechanisms and "computational intelligence" in systems that support teaching mathematics.- Learning Path Construction Using Reinforcement Learning and Bloom's Taxonomy.- Customizing Feedback using Semantic Clusters.- Voice Privacy with Smart Digital Assistants in Educational Settings.- An Intelligent Tutoring System for Psychomotor Development.- Assessment Automated Assessment of Learning Objectives in Programming Assignments.- Ex-Ante and Ex-Post Feature Evaluation of Online Courses Using the Kano Model.- Automated Summary Scoring with ReaderBench.- Automated Paraphrase Quality Assessment using Recurrent Neural Networks and Language Models.- Groups, Teams, Social, Crowd and Communities XGBoost & Deep Neural Network comparison: The case of teams' performance.- Using Graph Embedding to Monitor Communities of Learners.- The Influence of Five Personality Traits on the Interactive Model of Online Group Formation.- New Horizons on Online Tutoring System Inspired by Teaching Strategies and Learning Styles.- A Comparative Evaluation of the Effect of Social Comparison, Competition, and Social Learning in Persuasive Technology on Learning.- Sovereignty by personalization of information search: collective wisdom influences my knowledge.- Games and Gamification Confusion detection within a 3D adventure game.- Representation of generalized human cognitive abilities in a sophisticated student leaderboard.- Learning and Gamification Dashboards: a Mixed-Method Study
Описание: This book presents best selected papers presented at the International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2021) held from 4 - 5 March 2021 in online mode at C-DAC, Noida, India.
Описание: This book presents Proceedings of the 2021 Intelligent Systems Conference which is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world.
Описание: This book constitutes the refereed proceedings of the 18th International Conference on Computational Methods in Systems Biology, CMSB 2020, held in Konstanz, Germany, in September 2020.*The 17 full papers and 5 tool papers were carefully reviewed and selected from 30 submissions.
Описание: This book constitutes the refereed proceedings of the 4th Computational Methods in Systems and Software 2020 (CoMeSySo 2020) proceedings. The CoMeSySo 2020 conference is breaking the barriers, being held online. CoMeSySo 2020 intends to provide an international forum for the discussion of the latest high-quality research results.
Описание: This book briefly covers internationally contributed chapters with artificial intelligence and applied mathematics-oriented background-details. The book is suitable to be used as a reference work in the courses associated with artificial intelligence and applied mathematics.
Описание: This book presents real-world problems and exploratory research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of the intelligent systems.This book constitutes the refereed proceedings of the 3rd Computational Methods in Systems and Software 2019 (CoMeSySo 2019), a groundbreaking online conference that provides an international forum for discussing the latest high-quality research results.
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