Big Data Optimization: Recent Developments and Challenges, Emrouznejad Ali
Автор: Emrouznejad Название: Big Data Optimization: Recent Developments and Challenges ISBN: 3319302639 ISBN-13(EAN): 9783319302638 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Themain objective of this book is to provide the necessary background to work withbig data by introducing some novel optimization algorithms and codes capable ofworking in the big data setting as well as introducing some applications in bigdata optimization for both academics and practitioners interested, and tobenefit society, industry, academia, and government. Presenting applications ina variety of industries, this book will be useful for the researchers aiming toanalyses large scale data. Several optimization algorithms for big dataincluding convergent parallel algorithms, limited memory bundle algorithm,diagonal bundle method, convergent parallel algorithms, network analytics, andmany more have been explored in this book.
Описание: This edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized search heuristics.
Автор: Kalita Название: Recent Developments in Machine Learning and Data Analytics ISBN: 9811312796 ISBN-13(EAN): 9789811312793 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents high-quality papers from an international forum for research on computational approaches to learning. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted.
Описание: This book presents advanced case studies that address a range of important issues arising in space engineering. An overview of challenging operational scenarios is presented, with an in-depth exposition of related mathematical modeling, algorithmic and numerical solution aspects. The model development and optimization approaches discussed in the book can be extended also towards other application areas.The topics discussed illustrate current research trends and challenges in space engineering as summarized by the following list: • Next Generation Gravity Missions• Continuous-Thrust Trajectories by Evolutionary Neurocontrol• Nonparametric Importance Sampling for Launcher Stage Fallout• Dynamic System Control Dispatch• Optimal Launch Date of Interplanetary Missions• Optimal Topological Design• Evidence-Based Robust Optimization• Interplanetary Trajectory Design by Machine Learning• Real-Time Optimal Control• Optimal Finite Thrust Orbital Transfers• Planning and Scheduling of Multiple Satellite Missions• Trajectory Performance Analysis• Ascent Trajectory and Guidance Optimization• Small Satellite Attitude Determination and Control • Optimized Packings in Space Engineering• Time-Optimal Transfers of All-Electric GEO Satellites Researchers working on space engineering applications will find this work a valuable, practical source of information. Academics, graduate and post-graduate students working in aerospace, engineering, applied mathematics, operations research, and optimal control will find useful information regarding model development and solution techniques, in conjunction with real-world applications.
This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems.
Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications.
Tentative Table of Contents/Topic Coverage:?
- Neural Computation
- Evolutionary Computing Methods
- Neuroscience driven AI Inspired Algorithms
- Biological System based algorithms
- Hybrid and Intelligent Computing Algorithms
- Application of Natural Computing
- Review and State of art analysis of Optimization algorithms
- Molecular and Quantum computing applications
- Swarm Intelligence
- Population based algorithm and other optimizations
Описание: This book offers a multifaceted perspective on fuzzy set theory, discussing its developments over the last 50 years.
Автор: Qamrul Hasan Ansari; Jen-Chih Yao Название: Recent Developments in Vector Optimization ISBN: 3642271065 ISBN-13(EAN): 9783642271069 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Taking hold of a range of topics in vector optimization, from baseline issues to today`s leading-edge research, this volume`s fourteen chapters have been contributed by recognized experts in their respective sub-fields of multi-criteria optimization.
Автор: Mishra Bhabani Shankar Prasad, Das Himansu, Dehuri Satchidananda Название: Cloud Computing for Optimization: Foundations, Applications, and Challenges ISBN: 3319736752 ISBN-13(EAN): 9783319736754 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Nature Inspired Optimizations in Cloud Computing: Applications and Challenges.- Resource Allocation in Cloud Computing Using OptimizationTechniques.- Energy Aware Resource Allocation Model for IaaS Optimization.- A Game Theoretic Model for Cloud Federation.- Resource Provisioning Strategy for Scientific Workflows in Cloud Computing Environment.- Consolidation in Cloud Environment Using OptimizationTechniques.
Автор: Immanuel M. Bomze; Tibor Csendes; R. Horst; Panos Название: Developments in Global Optimization ISBN: 144194768X ISBN-13(EAN): 9781441947680 Издательство: Springer Рейтинг: Цена: 9776.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In recent years global optimization has found applications in many interesting areas of science and technology including molecular biology, chemical equilibrium problems, medical imaging and networks. The collection of papers in this book indicates the diverse applicability of global optimization.
Автор: Balas Valentina E., Solanki Vijender Kumar, Kumar Raghvendra Название: Internet of Things and Big Data Applications: Recent Advances and Challenges ISBN: 3030391183 ISBN-13(EAN): 9783030391188 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides essential future directions for IoT and Big Data research. Thus, there is a new global interest in these applications in various domains such as health, agriculture, energy, security and retail.
Автор: Tavana Название: Recent Developments in Data Science and Business Analytics ISBN: 3319727443 ISBN-13(EAN): 9783319727448 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I Marketing and Supply Chain Analytics: Chapter1: Research on Differential Pricing and Coordination Mechanism of Second-Class Supply Chain of New Products and Remanufactured Products.- Chapter2: A study on Cooperation Strategies of Dual Channel Supply Chain Based on Service Level.- Chapter3: The Quality Management of Food Supply Chain in Perspective of Food Safety.- Chapter4: Strategic Customer Behavior with Risk Preference for a Supply Chain Management Based on Double Channel.- Chapter5: Competition and Coordination in Single-supplier Multiple-retailer Supply Chain.- Chapter6: Research on the Construction of Enterprise Brand Competitiveness Evaluation System Based on the Integration of SWOT and AHP Model.- Chapter7: Reflections on the Training Mode of E-commerce Professionals with improved Practical Exercises and Innovative Ability.- Chapter8: Research on Evaluating Marketing Ability of Traditional Chinese Medicine Enterprises in Gansu Province.- Part II: Logistics and Operations Analytics: Chapter9: The Impact of the Relationship between Operational Cost and Oil Prices on Economic Assessment in Oil and Gas Industry.- Chapter10: The Construction of University Students' Entrepreneurship Competency Model in Application-Oriented Universities.- Chapter11: Improving Airport Security Screening System in Terms of Efficiency and Fairness Via Network Model.- Chapter12: Study on the Choice of Strategic Emerging Industries in Gansu Province Based on Multi-level Grey Model.- Chapter13: The Study of "Big Quality" Satisfaction Evaluation.- Chapter14: Research on Evaluation Index System of Enterprise Brand Competitiveness - Taking Liquor Industry as an Example.- Chapter15: Simulation of Stochastic Volatility Variance Swap.- Chapter16: Empirical Research of the Contribution Rate of University Science and Technology to the Regional Economic Development.- Chapter17: Research on Incentive Strategy of Logistics Outsourcing about Manufacturing Enterprises.- Chapter18: Research on External Quality Inspection Technology of Tropical Fruits Based on Computer Vision.- Chapter19: Wholesale Price Contract and Quantity Discount Contract under Competition with Various Games.- Chapter20: Evaluation of Science and Technology Service Industry in Shandong Province.- Part III: Financial Analytics: Chapter21: CEO's Background Characteristics, Financing Preference and Firm Performance-----Empirical Evidence from China's A-share Listed Companies.- Chapter22: Security Risk Management Approach for Improving Information Security Return of Investment.- Chapter23: Comparative Analysis on Investment and Financing Models of Urban Rail Transportation.- Chapter24: Measuring Systemic Risk in the Chinese Financial System Based on Asymmetric Exponential Power Distribution.- Chapter25: Research on Liquidity Preferences of Mutual Fund.- Chapter26: Relationship of the Financial Agglomeration and Fiscal Expenditure Scale of Yangtze River Delta.- Chapter27: Applying Data Processing Method for Relationship Discovery in the Stock Market.- Chapter28: A Study on Assets Categorizations and Optimal Allocation via an Improved Algorithm.- Chapter29: Forecasting Stock Price Index Volatility with LSTM Deep Neural Network.- Chapter30: Improvement of Hedging Effect Based on the Average Hedging Ratio.- Chapter31: Finding the Lenders of Bad Credit Score Based on the Classification Method.- Part IV: Chapter32: Research Status and Prospect of Data Extraction and Cleaning Technology in Large Environment.- Chapter33: Research on Intelligent Sales Platform of Automobile Industry Based on Large Data Mining.- Chapter34: A Local Neighborhood Constraint Method for SIFT Features Matching.- Chapter35: A Wine Consumption Prediction Model Based on L-DAGLSSVM.- Chapter36: Fuzzy Control and Network System Design for Time Series Prediction Model.- Chapter37: Research on Data Storage Based on Cloud Platform.- Chapter38: An Automatic Multi-Objective Clustering based on Hierarchical Method
Автор: Madjid Tavana; Srikanta Patnaik Название: Recent Developments in Data Science and Business Analytics ISBN: 3030102599 ISBN-13(EAN): 9783030102593 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited volume is brought out from the contributions of the research papers presented in the International Conference on Data Science and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data science and business analytics is emerging at the intersection of the fields of mathematics, statistics, operations research, information systems, computer science and engineering. Data science and business analytics is an interdisciplinary field about processes and systems to extract knowledge or insights from data. Data science and business analytics employ techniques and theories drawn from many fields including signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition, visualization, descriptive analytics, predictive analytics, prescriptive analytics, uncertainty modeling, big data, data warehousing, data compression, computer programming, business intelligence, computational intelligence, and high performance computing among others. The volume contains 55 contributions from diverse areas of Data Science and Business Analytics, which has been categorized into five sections, namely: i) Marketing and Supply Chain Analytics; ii) Logistics and Operations Analytics; iii) Financial Analytics. iv) Predictive Modeling and Data Analytics; v) Communications and Information Systems Analytics. The readers shall not only receive the theoretical knowledge about this upcoming area but also cutting edge applications of this domains.
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