Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address fundamental questions: What is likely to happen in the future? What is the best course of action? Adaptive Business Intelligence explores elements of data mining, predictive modeling, forecasting, optimization, and adaptability. The book explains the application of numerous prediction and optimization techniques, and shows how these concepts can be used to develop adaptive systems. Coverage includes linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy systems, genetic algorithms, simulated annealing, tabu search, ant systems, and agent-based modeling.
In the first part, I present my life in the period when I ignored God. I lost the time in stupid adventures and boring `distractions. After passed by illness, depression and anxiety, I discovered the existence of God by means of divine inspiration. The information is eternal and coveys the divine project! This has changed totally my life. I cured from anxiety and I discovered a superior purpose to follow. By means of science, I discovered that God is certitude! I observed the logic of divine creation and certain divine programs. They concern our next development and we must intelligently to participate for their accomplishment.
Through a skillful combination of economic and cultural history, this book describes the impact on Moldavia and Wallachia of steam navigation on the Danube. The Danube route integrated the two principalities into a dense network of European roads and waterways. From the 1830s to the 1860s, steamboat transport transformed time and space for the areas that benefited from regular services. River traffic accelerated urban development along the Lower Danube and contributed directly to institutional modernization in one of Europe’s peripheries. Beyond technological advances and the transportation of goods on a trans-imperial waterway, steamboat travel revolutionized human interactions, too. The book offers a fascinating insight into the social and cultural milieu of the nineteenth century, drawing on first-hand accounts of Danube cruising. Describing the story of travelers who interacted, met, and visited the places they stopped, Constantin Ardeleanu creates a transnational history of travel up and down the Danube from Vienna to Constantinople. The pleasures and sometimes the travails of the travelers unfold against a backdrop of technical and economic transformation in the crucial period of modernization.
This book analyses the multidimensional condition of the Romanian industrial landscape, which played host to a multitude of demo-economic, financial, trade, and trans- and inter-sectoral development practices before the intense period of European deindustrialisation. The authors stress the need to recognise the economic importance of industry and renewed investment in infrastructure, tracing its impact on GDP, growth and labour productivity. With a focus on R&D, technological innovations and government funding, this volume highlights a strategy for the reindustrialisation, with consistent enablers, of Romania that can also be applied to other EU countries to ensure positive economic development in the context of new European and international policies. Awarded the prize for best book in Economics published in the academic year 2017-2018 by the Romanian Association of Economics Faculties (AFER).
Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address fundamental questions: What is likely to happen in the future? What is the best course of action? Adaptive Business Intelligence explores elements of data mining, predictive modeling, forecasting, optimization, and adaptability. The book explains the application of numerous prediction and optimization techniques, and shows how these concepts can be used to develop adaptive systems. Coverage includes linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy systems, genetic algorithms, simulated annealing, tabu search, ant systems, and agent-based modeling.
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