Cantitate/Preț
Produs
Total produse
Vezi coșul
Recent Developments in Data Science and Business Analytics: Proceedings of the International Conference on Data Science and Business Analytics (ICDSBA- 2017) de Madjid Tavana

Recent Developments in Data Science and Business Analytics: Proceedings of the International Conference on Data Science and Business Analytics (ICDSBA- 2017): Springer Proceedings in Business and Economics

Editat de Madjid Tavana, Srikanta Patnaik
en Limba Engleză Hardback – 29 mar 2018
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.  
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 93590 lei  6-8 săpt.
  Springer International Publishing – 9 feb 2019 93590 lei  6-8 săpt.
Hardback (1) 94192 lei  6-8 săpt.
  Springer International Publishing – 29 mar 2018 94192 lei  6-8 săpt.

Din seria Springer Proceedings in Business and Economics

Preț: 94192 lei

Preț vechi: 114869 lei
-18% Nou

Puncte Express: 1413
Preț estimativ în valută:
18026€ • 18725$ • 14974£

Carte tipărită la comandă

Livrare economică 01-15 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319727448
ISBN-10: 3319727443
Pagini: 600
Ilustrații: XVI, 505 p. 117 illus., 82 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.9 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Springer Proceedings in Business and Economics

Locul publicării:Cham, Switzerland

Cuprins

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 OperationsAnalytics: 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 onExternal 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.- Chapter39: BigData Analytics for High Frequency Trading Volatility Estimation.- Chapter40: A Simulation of Sample Variance Calculation in the Teaching of Business Statistics to English Majors.- Chapter41: Application of Clinical Diagnosis and Treatment Data of Coronary Heart Disease Based on Association Rules.- Chapter42: Bibliometric Analysis of Spatial Econometrics.- Chapter43: Using Diagnostic Analysis to Discover Offensive Patterns in a Football Game.- Chapter44: Fuzzy Game Based on Fuzzy Comparison Operator.- Chapter45: An Analysis of Business English Translation Research in China.- Part V: Chapter46: Optimum Design And Function Improvement Of Mobile Nursing System.- Chapter47: Technology Development and Networking Application of a Mobile Passive Optical Access Network System.- Chapter48: Improvement of E-MIMLSVM+ Algorithm Based on Semi-Supervised Learning.- Chapter49: The Method of Improving Learning Ability of "C Language Programming Design" Course.- Chapter50: Implementation of Koch CurvesBased on Html5 .- Chapter51: The Proposal of Centralization Deployment of Cadre Management Information System of SGCC.- Chapter52: Research and Designing of Grounding Fault Diagnosis for Small Current System Based on DsPIC33 and MCP3903.- Chapter53: Mobile Phone Addiction in Youngsters: Concept and Measurement.- Chapter54: Measurement and Empirical Research of High Technology Industry Development for Mainland China Region.- Chapter55: Sina Weibo User Influence Research.

Notă biografică

Madjid Tavana is Professor and Lindback Distinguished Chair of Business Analytics at La Salle University, where he serves as Chairman of the Business Systems and Analytics Department. He also holds an Honorary Professorship in Business Information Systems at the University of Paderborn in Germany. Dr. Tavana is a Distinguished Research Fellow at the Kennedy Space Center, the Johnson Space Center, the Naval Research Laboratory at Stennis Space Center, and the Air Force Research Laboratory. He was recently honored with the prestigious Space Act Award by NASA. He holds an MBA, PMIS, and PhD in Management Information Systems and received his Post-Doctoral Diploma in Strategic Information Systems from the Wharton School at the University of Pennsylvania. He has published 10 books and over 200 research papers in international scholarly academic journals. He is the Editor-in-Chief of Decision Analytics, International Journal of Applied Decision Sciences, International Journal of Management and Decision Making, International Journal of Knowledge Engineering and Data Mining, International Journal of Strategic Decision Sciences, and International Journal of Enterprise Information Systems. Dr. Tavana is a Senior Lecturer at Rutgers University and the Ecole Supérieure de Commerce Et Management in France. He has served as the President of Alpha Iota Delta (the International Honor Society for Decision Sciences and Information Systems). He has been a Visiting Scholar at the UCLA Anderson Graduate School of Management and held several Visiting Professorship positions in France, Switzerland, Korea, China, Ukraine, and Mexico.

Dr. Srikanta Patnaik is a Professor in the Department of Computer Science and Engineering, SOA University, Bhubaneswar, India. He received his Ph. D. (Engineering) in Computational Intelligence from Jadavpur University, India in 1999 and supervised 12 Ph. D. theses and more than 30 M. Tech theses in the areas of Machine Intelligence, Soft Computing Applications and Re-Engineering. Dr. Patnaik has published more than 60 research papers in international journals and conference proceedings. He is the author of 2 text books and edited 12 books and few invited book chapters, published by leading international publishers like Springer-Verlag, Kluwer Academic, etc.. Dr. Patnaik was the Principal Investigator of TAPTEC project “Building Cognition for Intelligent Robot” sponsored by the All India Council for Technical Education, New Delhi, and Major Research Project “Machine Learning and Perception using Cognition Methods” sponsored by the University Grant Commission. He is the Editor-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics  published from Inderscience Publishing House, England, and also Editor-in-chief of Book Series on “Modeling and Optimization in Science and Technology” published by Springer.  Dr. Patnaik has also edited many proceedings volumes, all published by Springer.
 

Textul de pe ultima copertă

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.  

Caracteristici

Presents cutting edge and rigorously developed papers on data science and business analytics Covers descriptive, predictive, and prescriptive analytics Editors and Keynote Speakers are among the most prestigious in the field