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• Schema Evolution for Databases and Data Warehouses.- Publishing OLAP Cubes on the Semantic Web.- Design Issues in Social Business Intelligence Projects.- Context-Aware Business Intelligence.- Key Performance Indicators in Data Warehouses.- Author Index.
• (source: Nielsen Book Data)

This book constitutes the tutorial lectures of the 5th European Business Intelligence Summer School, eBISS 2015, held in Barcelona, Spain, in July 2015. The tutorials presented here in an extended and refined format were given by renowned experts and cover topics including schema evolution for databases and data warehouses, publishing OLAP cubes on the Semantic Web, design issues in social business intelligence projects, context-aware business intelligence, and key performance indicators in data warehouses.
(source: Nielsen Book Data)

• Group Problem Structuring and Negotiation
• Effects of Small Group Discussion: Case Study of Community Disaster Risk Management in Japan
• Understanding PSM Interventions Through Sense-Making and the Mangle of Practice Lens
• Negotiation and Group Processes
• Social Consciousness in Post-conflict Reconstruction
• How to Order the Alternatives, Rules, and the Rules to Choose Rules: When the Endogenous Procedural Choice Regresses
• The Hidden Costs of the Door-in-the-Face Tactic in Negotiations
• Preference Analysis and Decision Support
• Understanding and Using the Group Decision Analysis Model
• Distributive Justice, Legitimizing Collective Choice Procedures, and the Production of Normative Equilibria in Social Groups: Towards a Theory of Social Order
• A Multiple Criteria Model for Comparison of Subjective-Objective Evaluations and Its Application
• Using Surrogate Weights for Handling Preference Strength in Multi-criteria Decisions
• Veto Values Within MAUT for Group Decision Making on the Basis of Dominance Measuring Methods with Fuzzy Weights
• Inaccuracy in Defining Preferences by the Electronic Negotiation System Users
• A Multi-criteria Group Decision-Making Approach for Facility Location Selection Using PROMETHEE Under a Fuzzy Environment
• An Interval-Valued Hesitant Fuzzy TOPSIS Method to Determine the Criteria Weights
• Multiple Attribute Group Decision Making Under Hesitant Fuzzy Environment
• Formal Models
• Using Ordinal Regression for Interactive Evolutionary Multiple Objective Optimization with Multiple Decision Makers
• Fiscal-Monetary Game Analyzed with Use of a Dynamic Macroeconomic Model
• Voting and Collective Decision-Making
• A Framework for Aiding the Choice of a Voting Procedure in a Business Decision Context
• Vote Swapping in Representative Democracy
• The Choice of Voting Rules Based on Preferences over Criteria
• Conflict Resolution in Energy and Environmental Management
• Controversy Over the International Upper Great Lakes Study Recommendations: Pathways Towards Cooperation
• Option Prioritization for Three-Level Preference in the Graph Model for Conflict Resolution
• Negotiation Support Systems and Studies
• The Role of Communication Support for Electronic Negotiations
• More Than Words: The Effect of Emoticons in Electronic Negotiations
• Online Collaboration and Competition
• A Longitudinal Case Study on Risk Factor in Trust Development of Facilitated Collaboration
• Intention to Repurchase Group Coupon Service: The Intertwined Effect of Service Quality of Vendor and Service Provider
• Defining Human-Machine Micro-Task Workflows for Constitution Making
• Creating Value Through Crowdsourcing: The Antecedent Conditions
• On Integrating an IS Success Model and Multicriteria Preference Analysis into a System for Cloud-Computing Investment Decisions
• Demand Management with Energy Generation and Storage in Collectives
• Market Mechanisms and Their Users
• Back-End Bidding for Front-End Negotiation: A Model
• Lot-Rolling
• Supply Chain Negotiation in a Two-Stage Multi-echelon System
• Procurement Auctions: Improving Efficient Winning Bids Through Multi-bilateral Negotiations.

This book constitutes the proceedings of the 15th International Conference on Group Decision and Negotiation, GDN 2015, held in Warsaw, Poland, in June 2015. The GDN meetings aim to bring together researchers and practitioners from a wide spectrum of fields, including economics, management, computer science, engineering, and decision science. From a total of 119 submissions, 32 papers were accepted for publication in this volume. The papers are organized into topical sections on group problem structuring and negotiation, negotiation and group processes, preference analysis and decision support, formal models, voting and collective decision making, conflict resolution in energy and environmental management, negotiation support systems and studies, online collaboration and competition, and market mechanisms and their users.

• Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems.- Designing Societies of Robots.- On the Origins of Imperfection and Apparent Non-Rationality.- Lasso Granger Causal Models: Some Strategies and their Efficiency for Gene Expression Regulatory Networks.- Cooperative Feature Selection in Personalized Medicine.- Imperfect Decision Making and Risk Taking are affected by Personality.
• (source: Nielsen Book Data)

This volume focuses on uncovering the fundamental forces underlying dynamic decision making among multiple interacting, imperfect and selfish decision makers. The chapters are written by leading experts from different disciplines, all considering the many sources of imperfection in decision making, and always with an eye to decreasing the myriad discrepancies between theory and real world human decision making. Topics addressed include uncertainty, deliberation cost and the complexity arising from the inherent large computational scale of decision making in these systems. In particular, analyses and experiments are presented which concern: * task allocation to maximize "the wisdom of the crowd"; * design of a society of "edutainment" robots who account for one anothers' emotional states; * recognizing and counteracting seemingly non-rational human decision making; * coping with extreme scale when learning causality in networks; * efficiently incorporating expert knowledge in personalized medicine; * the effects of personality on risky decision making. The volume is a valuable source for researchers, graduate students and practitioners in machine learning, stochastic control, robotics, and economics, among other fields.
(source: Nielsen Book Data)

• H. Schmitz, S. Niemann: A Bicriteria Traveling Salesman Problem with Sequence Priorities
• P. Vansteenwegen et al.: Metaheuristics for Tourist Trip Planning
• A. Baykasoglu, T. Göçken: Solving Fuzzy Multi-Item Economic Order Quantity Problems via Fuzzy Ranking Functions and Particle Swarm Optimization
• L. Dimitriou, T. Tsekeris: Fixed and Variable Toll Pricing in Road Networks with Direct Search Meta-Heuristics
• M. Ortega-Mier, J. Delgado Hipólito, Á. García-Sánchez: Scatter Search for Locating a Treatment Plant and the Necessary Transfer Centers in a Reverse Network
• W. Souffriau et al.: Variable Neighbourhood Descent for Planning Crane Operations in Train Terminal
• J. Czogalla, A. Fink: Design and Analysis of Evolutionary Algorithms for the No-Wait Flow-Shop Scheduling Problem
• G. di Tollo, D. Maringer: Metaheuristics for the Index Tracking Problem
• J. Rieck, J. Zimmermann: A Hybrid Algorithm for Vehicle Routing of Less-Than-Truckload Carriers.

Most developed economics show the tendency of an increasing importance of modern services such as tourism, logistical services, finance, and others. In many cases, complex optimization problems can be found in this context, and the successful operation of modern services often depends on the ability to solve the obtained optimization models. Metaheuristics on the other hand present an interesting problem-resolution paradigm that has attracted considerable interest in past years. The book combines a set of selected and peer-reviewed articles, presenting novel results of metaheuristics for modern services. In particular, applications in the area of transportation and logistics are considered, while other areas include production and financial services. Novel methodological approaches as well as improved results are obtained, resulting in a considerable contribution to the state-of-the-art of research in metaheuristics.