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The Left Unraveled
In the early 1980s both the British Labour Party and the West German Social Democrats (SPD), confronted with serious internal challenges from the political left, experienced an erosion of support that resulted in the emergence of new political parties--the British Social Democratic Party and the West German Green Party. Explicitly comparative, this study presents a theoretically innovative analysis while offering a sophisticated understanding of the political confrontations between social democrats, the new left, traditional socialists, and trade unionists in both Britain and West Germany. By focusing on the established parties rather than on external developments, Koelble departs from conventional methodology regarding the fortunes of political parties. In examining the fundamental processes of decision making and coalition building within the SPD and the Labour Party, he argues that it is the organizational structures within parties that shape political results by setting limits, creating opportunities, and determining strategies.
Mathematical Foundations of Big Data Analytics
In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made. Necessary mathematical tools are examined and applied to current problems of data analysis, such as brand loyalty, portfolio selection, credit investigation, quality control, product clustering, asset pricing etc. – mainly in an economic context. In addition, we discuss interdisciplinary applications to biology, linguistics, sociology, electrical engineering, computer science and artificial intelligence. For the models, we make use of a wide range of mathematics – from basic disciplines of numerical linear algebra, statistics and ...
Reverse Engineering the Mind
Florian Neukart describes methods for interpreting signals in the human brain in combination with state of the art AI, allowing for the creation of artificial conscious entities (ACE). Key methods are to establish a symbiotic relationship between a biological brain, sensors, AI and quantum hard- and software, resulting in solutions for the continuous consciousness-problem as well as other state of the art problems. The research conducted by the author attracts considerable attention, as there is a deep urge for people to understand what advanced technology means in terms of the future of mankind. This work marks the beginning of a journey – the journey towards machines with conscious action and artificially accelerated human evolution.
Data Warehousing and Knowledge Discovery
This book constitutes the refereed proceedings of the First International Conference on Data Warehousing and Knowledge Discovery, DaWaK'99, held in Florence, Italy in August/September 1999. The 31 revised full papers and nine short papers presented were carefully reviewed and selected from 88 submissions. The book is divided in topical sections on data warehouse design; online analytical processing; view synthesis, selection, and optimization; multidimensional databases; knowledge discovery; association rules; inexing and object similarities; generalized association rules and data and web mining; time series data bases; data mining applications and data analysis.
Germany Transformed
A new Germany has come of age, as democratic, sophisticated, affluent, and modern as any other western nation. This remarkable transition in little more than a generation is the central theme of Germany Transformed. Here all the old stereotypes and conclusions are challenged and new research is marshalled to provide a model for an advanced democratic republic. Kendall Baker, Russell Dalton, and Kai Hildebrandt, working with massive national election returns from 1953 onward, explain the Old Politics of the postwar period, which was based on the "economic miracle" and the security needs of West Germany, and the shift in the past decade to the New Politics, which emphasizes affluence, leisure,...
New Dimensions of Business Reporting and XBRL
The authors of this book analyse the social and technical nature and role of XBRL in information supply chains and capital markets as well as the XBRL standard and taxonomies. They provide a critical view of XBRL from a research perspective, present different projects in the XBRL area and indicate future directions for XBRL research. Current research questions are taken up and discussed from different perspectives. From a technical point of view, the spectrum encompasses the internal perspective up to the final user layer. Apart from these technical issues, there are also key socio-technical aspects which are vital to the understanding of XBRL use.
Professional Knowledge Management
This book constitutes the thoroughly refereed post-proceedings of the Third Conference on Professional Knowledge Management - Experiences and Visions, WM 2005, held in Kaiserslautern, Germany in April 2005. The 82 revised papers presented were carefully reviewed and selected from the best contributions to the 15 workshops of the conference. Coverage includes intelligent office appliances, learning software organizations, learner-oriented knowledge management and KM-oriented e-learning.
The Berlin Republic
Since German unification in October, 1990, arguments have raged as to whether the integration process of the former East Germany into the western system has been a success. These essays offer fresh insight and perspectives explaining the effects of unification on Germany and the EU as a whole.
Planning and Reporting in BI-supported Controlling
Planning and reporting solutions in many companies still suffer from poor data quality, are insufficiently integrated and are often time and cost intensive. This practice-oriented book shows step by step how things can be done differently. It systematically shows how modern planning and reporting systems in BI-supported controlling can be set up with the use of data warehouse and big data technology and usefully supplemented with AI-supported features. For the 4th edition, the book has been comprehensively updated. The extensive controlling cockpit example has been expanded. It now contains suggestions for the areas of corporate management (operational and strategic controlling), sales, prod...
Prediction of Highly Lucrative Companies Using Annual Statements: A Data Mining Based Approach
The intention of this study is to predict one year in advance whether a regarded firm will grow extraordinarily in the next year. This is crucial for private investors and fund managers who need to decide whether they should invest in a certain firm. Companies like Apple and Amazon have shown that people who recognized the potential of such companies at the right time earned a lot of money. The applied prediction models can also be used by politicians to identify companies which are eligible for funding, because growing companies oftentimes hire many employees. Since annual reports are often publically available for free, it is reasonable to take advantage of them for such a prediction. The prediction models are based on classification trees and forests because they have some very substantial advantages over other methods like neural networks, which are frequently used in literature. For instance, they do not have distributional assumptions, accept both quantitative and qualitative inputs, and are not sensitive with respect to outliers. Furthermore, they are easy to understand by humans and can deal with missing values, which is crucial for practical applications.
