Intelligent Data Engineering and Automated Learning -- IDEAL 2014, Emilio Corchado; Jos? A. Lozano; H?ctor Quinti?n;
Автор: Malley Название: Statistical Learning for Biomedical Data ISBN: 0521699096 ISBN-13(EAN): 9780521699099 Издательство: Cambridge Academ Рейтинг: Цена: 43290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.
Автор: Jian Yang; Fang Fang; Changyin Sun Название: Intelligent Science and Intelligent Data Engineering ISBN: 3642366686 ISBN-13(EAN): 9783642366680 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the third Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering, IScIDE 2012, held in Nanjing, China, in October 2012. computer vision and image processing; knowledge discovery, data mining, and web mining;
Автор: Xin Yao; Hujun Yin; Peter Tino; Emilio Corchado; W Название: Intelligent Data Engineering and Automated Learning - IDEAL 2007 ISBN: 3540772251 ISBN-13(EAN): 9783540772255 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Constitutes the refereed proceedings of the 8th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2007, held in Birmingham, UK, in December 2007. This book presents 170 revised full papers that were reviewed and selected from more than 270 submissions.
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.
Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.
After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.
Автор: Colin Fyfe; Dongsup Kim; Soo-Young Lee; Hujun Yin Название: Intelligent Data Engineering and Automated Learning – IDEAL 2008 ISBN: 3540889051 ISBN-13(EAN): 9783540889052 Издательство: Springer Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: IDEAL 2008 was the ninth IDEAL conference to take place; earlier editions were held in Hong Kong, the UK, Australia and Spain. This was the first time, though hopefully not the last time, that it took place in Daejeon, South Korea, during November 2-5, 2008. As the name suggests, the conference attracts researchers who are involved in either data engineering or learning or, increasingly, both. The former topic involves such aspects as data mining (or intelligent knowledge discovery from databases), infor- tion retrieval systems, data warehousing, speech/image/video processing, and mul- media data analysis. There has been a traditional strand of data engineering at IDEAL conferences which has been based on financial data management such as fraud det- tion, portfolio analysis, prediction and so on. This has more recently been joined by a strand devoted to bioinformatics, particularly neuroinformatics and gene expression analysis. Learning is the other major topic for these conferences and this is addressed by - searchers in artificial neural networks, machine learning, evolutionary algorithms, artificial immune systems, ant algorithms, probabilistic modelling, fuzzy systems and agent modelling. The core of all these algorithms is adaptation.
Автор: Konrad Jackowski; Robert Burduk; Krzysztof Walkowi Название: Intelligent Data Engineering and Automated Learning – IDEAL 2015 ISBN: 3319248332 ISBN-13(EAN): 9783319248332 Издательство: Springer Рейтинг: Цена: 67080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Evolutionary algorithms.- Neural networks.- Probabilistic modeling.- Swarm intelligent, multi-objective optimization, and practical applications in regression.- Classification.- Clustering.-Biological data processing.- Text processing.- Video analysis.- Computational intelligence for optimization of communication networks.- Discovering knowledge from data.- Simulation-driven DES-like modeling and performance evaluation.- Intelligent applications in real-world problems.
Автор: Kwong S. Leung; Lai-wan Chan; Helen Meng Название: Intelligent Data Engineering and Automated Learning - IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents ISBN: 3540414509 ISBN-13(EAN): 9783540414506 Издательство: Springer Рейтинг: Цена: 97820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: X Table of Contents Table of Contents XI XII Table of Contents Table of Contents XIII XIV Table of Contents Table of Contents XV XVI Table of Contents K.S.
Автор: Hujun Yin; Nigel Allinson; Richard Freeman; John K Название: Intelligent Data Engineering and Automated Learning - IDEAL 2002 ISBN: 3540440259 ISBN-13(EAN): 9783540440253 Издательство: Springer Рейтинг: Цена: 107130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: These are the refereed proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2002, held in Manchester, UK in August 2002.
Автор: Hujun Yin; Yang Gao; Songcan Chen; Yimin Wen; Guoy Название: Intelligent Data Engineering and Automated Learning – IDEAL 2017 ISBN: 3319689347 ISBN-13(EAN): 9783319689340 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2017, held in Guilin, China, in October/November 2017. The 65 full papers presented were carefully reviewed and selected from 110 submissions.
Автор: Emilio Corchado; Hujun Yin Название: Intelligent Data Engineering and Automated Learning - IDEAL 2009 ISBN: 3642043933 ISBN-13(EAN): 9783642043932 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Yin Название: Intelligent Data Engineering and Automated Learning – IDEAL 2016 ISBN: 3319462563 ISBN-13(EAN): 9783319462561 Издательство: Springer Рейтинг: Цена: 76400.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016. The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.
Автор: Hujun Yin; Ke Tang; Yang Gao; Frank Klawonn; Minho Название: Intelligent Data Engineering and Automated Learning -- IDEAL 2013 ISBN: 3642412777 ISBN-13(EAN): 9783642412776 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A Pruning Algorithm for Extreme Learning Machine.- Measuring Stability and Discrimination Power of Metrics in Information Retrieval Evaluation.- System for Monitoring and Optimization of Micro- and Nano-Machining Processes Using Intelligent Voice and Visual Communication.- Racing for Unbalanced Methods Selection.- Super-Resolution from One Single Low-Resolution Image Based on R-KSVD and Example-Based Algorithm.- Bilateral Multi-issue Parallel Negotiation Model Based on Reinforcement Learning.- Learning to Detect the Subway Station Arrival for Mobile Users.- Vision Based Multi-pedestrian Tracking Using Adaptive Detection and Clustering.- Drilling Cost Prediction Based on Self-adaptive Differential Evolution and Support Vector Regression.- Web Service Evaluation Method Based on Time-aware Collaborative Filtering.- An Improved PBIL Algorithm for Path Planning Problem of Mobile Robots.- An Initialized ACO for the VRPTW.- Deadline-Aware Event Scheduling for Complex Event Processing Systems.- A Discrete Hybrid Bees Algorithm for Service Aggregation Optimal Selection in Cloud Manufacturing.- Continuous Motion Recognition Using Multiple Time Constant Recurrent Neural Network with a Deep Network Model.- An Extended Version of the LVA-Index.- Anomaly Monitoring Framework Based on Intelligent Data Analysis.- Customer Unification in E-Commerce.- Network Management Based on Domain Partition for Mobile Agents.- Multi-objective Quantum Cultural Algorithm and Its Application in the Wireless Sensor Networks' Energy-Efficient Coverage Optimization.- Image Super Resolution via Visual Prior Based Digital Image Characteristics.- Deep Learning on Natural Viewing Behaviors to Differentiate Children with Fetal Alcohol Spectrum Disorder.- Prevailing Trends Detection of Public Opinions Based on Tianya Forum.- Fast and Accurate Sentiment Classification Using an Enhanced Naпve Bayes Model.- A Scale-Free Based Memetic Algorithm for Resource-Constrained Project Scheduling Problems.- A Direction based Multi-Objective Agent Genetic Algorithm.- A Study of Representations for Resource Constrained Project Scheduling Problems Using Fitness Distance Correlation.- Adapt a Text-Oriented Chunker for Oral Data: How Much Manual Effort Is Necessary?.- SVD Based Graph Regularized Matrix Factorization.- Clustering, Noise Reduction and Visualization Using Features Extracted from the Self-Organizing Map.- Efficient Service Deployment by Image-Aware VM Allocation Strategy.- Forecasting Financial Time Series Using a Hybrid Self-Organising Neural Model.- A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization.- Adaptive Differential Evolution Fuzzy Clustering Algorithm with Spatial Information and Kernel Metric for Remote Sensing Imagery.- Dynamic EM in Neologism Evolution.- Estimation of the Regularisation Parameter in Huber-MRF for Image Resolution Enhancement.- Sparse Prototype Representation by Core Sets.- Reconstruction of Wind Speed Based on Synoptic Pressure Values and Support Vector Regression.- Direct Solar Radiation Prediction Based on Soft-Computing Algorithms Including Novel Predictive Atmospheric Variables.- A Novel Coral Reefs Optimization Algorithm for Multi-objective Problems.- Fuzzy Clustering with Grouping Genetic Algorithms.- Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism.- Scaling Up Covariance Matrix Adaptation Evolution Strategy Using Cooperative Coevolution.- Gradient Boosting-Based Negative Correlation Learning.- Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient.- Semi-supervised Ranking via List-Wise Approach.- Gaussian Process for Transfer Learning through Minimum Encoding.- Kernel Based Manifold Learning for Complex Industry Fault Detection.- An Estimation of Distribution Algorithm for the 3D Bin Packing Problem with Various Bin Sizes.- Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism.- Swa
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
