Recent Developments in Data Science and Business Analytics, Madjid Tavana; Srikanta Patnaik
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.
Автор: Manser Franklin Название: Recent Developments in Cysticercosis and Neurocysticercosis ISBN: 1632423464 ISBN-13(EAN): 9781632423467 Издательство: Неизвестно Цена: 28324.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Lionel Amodeo; El-Ghazali Talbi; Farouk Yalaoui Название: Recent Developments in Metaheuristics ISBN: 3319863606 ISBN-13(EAN): 9783319863603 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Нет в наличии.
Описание: This book highlights state-of-the-art developments in metaheuristics research. It examines all aspects of metaheuristic research including new algorithmic developments, applications, new research challenges, theoretical developments, implementation issues, in-depth experimental studies. The book is divided into two sections. Part I is focused on new optimization and modeling techniques based on metaheuristics. The chapters in this section cover topics from multi-objective problems with fuzzy data with triangular-valued objective functions, to hyper-heuristics optimization methodology, designing genetic algorithms, and also the cuckoo search algorithm. The techniques described help to enhance the usability and increase the potential of metaheuristic algorithms. Part II showcases advanced metaheuristic approaches to solve real-life applications issues. This includes an examination of scheduling, the vehicle routing problem, multimedia sensor network, supplier selection, bin packing, objects tracking, and radio frequency identification. In the fields covered in the chapters are of high-impact applications of metaheuristics. The chapters offer innovative applications of metaheuristics that have a potential of widening research frontiers. Altogether, this book offers a comprehensive look at how researchers are currently using metaheuristics in different domains of design and application.
This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments.
Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people's imaginations as to what a fully connected world can offer.
Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions.
The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.
Автор: Olfa Nasraoui; Chiheb-Eddine Ben N`Cir Название: Clustering Methods for Big Data Analytics ISBN: 3030074196 ISBN-13(EAN): 9783030074197 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat detection, scalable distributed clustering methods for massive volumes of data; clustering Big Data Streams such as streams generated by the confluence of Internet of Things, digital and mobile health, human-robot interaction, and social networks; Spark-based Big Data clustering using Particle Swarm Optimization; and Tensor-based clustering for Web graphs, sensor streams, and social networks. The chapters in the book include a balanced coverage of big data clustering theory, methods, tools, frameworks, applications, representation, visualization, and clustering validation.
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: Lionel Amodeo; El-Ghazali Talbi; Farouk Yalaoui Название: Recent Developments in Metaheuristics ISBN: 3319582526 ISBN-13(EAN): 9783319582528 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights state-of-the-art developments in metaheuristics research. It examines all aspects of metaheuristic research including new algorithmic developments, applications, new research challenges, theoretical developments, implementation issues, in-depth experimental studies.
Автор: Dariusz Kr?l; Lech Madeyski; Ngoc Thanh Nguyen Название: Recent Developments in Intelligent Information and Database Systems ISBN: 3319312766 ISBN-13(EAN): 9783319312767 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I: Computational Intelligence in Data Mining and Machine Learning.- Part II: Ontologies, Social Networks and Recommendation Systems.- Part III: Web Services, Cloud Computing, Security and IntelligentInternet Systems.- Part IV: Knowledge Management and Language Processing.- Part V: Image, Video, Motion Analysis and Recognition.- Part VI: Advanced Computing Applications and Technologies.
Автор: Calvin Abby Название: Recent Developments in AIDS: Volume I ISBN: 1632423448 ISBN-13(EAN): 9781632423443 Издательство: Неизвестно Цена: 28324.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Clyde W. Holsapple; Andrew B. Whinston Название: Recent Developments in Decision Support Systems ISBN: 3540561579 ISBN-13(EAN): 9783540561576 Издательство: Springer Рейтинг: Цена: 41787.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Examines the developments in the decision support system (DSS) field. This book features articles from an international group of contributors that offer perspectives and presentations on advances in the foundations of DSS, DSS development, DSS usage evaluation, and DSS applications.
Автор: Anupam Chattopadhyay; Chip Hong Chang; Hao Yu Название: Emerging Technology and Architecture for Big-data Analytics ISBN: 3319548395 ISBN-13(EAN): 9783319548395 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I State-of-the-Art Architectures and Automation for Data-analytics.- Chapter 1. Scaling the Java Virtual Machine on a Many-core System.- Chapter 2.Scaling the Java Virtual Machine on a Many-core System.- Chapter 3.Least-squares based Machine Learning Accelerator for Big-data Analytics in Smart Buildings.- Chapter 4.Compute-in-memory Architecture for Data-Intensive Kernels.- Chapter 5. New Solutions for Cross-Layer System-Level and High-Level Synthesis.- Part II New Solutions for Cross-Layer System-Level and High-Level Synthesis.- Chapter 6.Side Channel Attacks and Efficient Countermeasures on Residue Number System Multipliers.- Chapter 7. Ultra-Low-Power Biomedical Circuit Design and Optimization: Catching The Don't Cares.- Chapter 8.Acceleration of MapReduce Framework on a Multicore Processor.- Chapter 9. Adaptive dynamic range compression for improving envelope-based speech perception: Implications for cochlear implants.- Part III Emerging Technology, Circuits and Systems for Data-analytics.- Chapter 10. Emerging Technology, Circuits and Systems for Data-analytics.- Chapter 11. Energy Efficient Spiking Neural Network Design with RRAM Devices.- Chapter 12. Efficient Neuromorphic Systems and Emerging Technologies - Prospects and Perspectives.- Chapter 13. In-memory Data Compression Using ReRAMs.- Chapter 14. In-memory Data Compression Using ReRAMs.- Chapter 15.Data Analytics in Quantum Paradigm - An Introduction.
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