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NoSQL atau Not only SQL atau Non SQL Database adalah istilahyang digunakan untuk jenis database yang tidak berbentuk. Buku ini menjelaskan empat tipe database NoSQL (Key Value, Document, Column-Family dan Graph). Selain itu, buku ini juga menjelaskan studi kasus penggunaan database tersebut.
When images look like something they do so because they are different from what they resemble. This difference is not sufficiently captured by the traditional theories of representation and mimesis, and yet it is the condition for any such theory. Various contemporary image theorists have pointed out that Plato already understood that images are not what they look like. Images have their own existence which cannot be identified with a concept, but should be examined in terms of actions. This book comprises fifteen articles that investigate what images do, particularly in relation to the disciplines of architecture, design and visual arts. It claims that it is the differentiating power of images -- their actions -- which constitutes their capacity to look like something they are not, as well as create something that does not yet exist. What Images Do addresses the crucial role that images might play in producing and investigating what we have not yet seen or understood in and of reality.
Design research promotes understanding of advanced, cutting-edge information systems through the construction and evaluation of these systems and their components. Since this method of research can produce rigorous, meaningful results in the absence of a strong theory base, it excels in investigating new and even speculative technologies, offering
A guide to developing productive student-faculty partnerships in higher education Student-faculty partnerships is an innovation that is gaining traction on campuses across the country. There are few established models in this new endeavor, however. Engaging Students as Partners in Learning and Teaching: A Guide for Faculty offers administrators, faculty, and students both the theoretical grounding and practical guidelines needed to develop student-faculty partnerships that affirm and improve teaching and learning in higher education. Provides theory and evidence to support new efforts in student-faculty partnerships Describes various models for creating and supporting such partnerships Helps...
Throughout the industrialised world, universities have undergone remarkable changes since the mid-1980s. In Australia, interest has been intense, and publication of The Enterprise University was very timely. First published in 2001, it was the first systematic study of the Australian system since the momentous Dawkins reforms ten years earlier. The book is grounded in case studies of most of the major Australian universities: the authors interviewed a large number of senior managers. They also have taken account of global trends and have prepared the book in the light of international research on the university as an institution. The authors contend that the modern university can be understood as an 'enterprise university', characterised by corporate-style executive leadership. In a hard-hitting conclusion they propose novel policies and directions for Australia's higher education system.
This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.
The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objective/multi-objective, optimization under uncertainty) in a diverse range of application domains. Readers learn to solve large scale problems quickly and efficiently combining metaheuristics with complementary metaheuristics, mathematical programming, constraint programming and machine learning. Numerous real-world examples of problems and solutions demonstrate how hybrid metaheuristics are applied in such fields as networks, logistics and transportation, bio-medical, engineering design, scheduling.
This monograph deals with theoretical and practical aspects of creating course timetables at academic institutions. The task is typically to create a timetable that suits the requirements of the stakeholders – students, lecturers, and the administration – as well as possible. The book presents an exposition of the basic combinatorial problems and solution methods for course timetabling and related tasks. It provides a rigorous treatment of fairness issues that arise in the course timetabling context and shows how to deal with the potentially conflicting interests of the stakeholders. The proposed methods are also readily applicable to other classes of scheduling problems such as staff rostering. Finally, it presents a comprehensive case study on the implementation of an automated course timetabling system at the school of engineering of the University of Erlangen-Nuremberg. The case study includes a detailed description of the problem model as well as an evaluation of stakeholder satisfaction.
The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.* The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production pl...
Including contributions from leading experts in the field, this book covers applications and developments of heuristic search methods for solving complex optimization problems. The book covers various local search strategies including genetic algorithms, simulated annealing, tabu search and hybrids thereof. These methods have proved extraordinarily successful by solving some of the most difficult, real-world problems. At the interface between Artificial Intelligence and Operational Research, research in this exciting area is progressing apace spurred on by the needs of industry and commerce. The introductory chapter provides a clear overview of the basic techniques and useful pointers to fur...