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Data Mining
  • Language: en
  • Pages: 387

Data Mining

Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems. Data mining supports a wide range of applications, from medical decision making, bioinformatics, web-usage mining, and text and image recognition to prominent business applications in corporate planning, direct marketing, and credit scoring. Research in information systems equally reflects this inter- and multidisciplinary approach, thereby advocating a series of papers at the intersection of data mining and information systems research. This special issue of Annals of Information Systems contains original papers and substantial extensions of selected papers from the 2007 and 2008 International Conference on Data Mining (DMIN’07 and DMIN’08, Las Vegas, NV) that have been rigorously peer-reviewed. The issue brings together topics on both information systems and data mining, and aims to give the reader a current snapshot of the contemporary research and state of the art practice in data mining.

Optimization and Decision Science: Methodologies and Applications
  • Language: en
  • Pages: 641

Optimization and Decision Science: Methodologies and Applications

  • Type: Book
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  • Published: 2017-11-03
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  • Publisher: Springer

This proceedings volume highlights the state-of-the-art knowledge related to optimization, decisions science and problem solving methods, as well as their application in industrial and territorial systems. It includes contributions tackling these themes using models and methods based on continuous and discrete optimization, network optimization, simulation and system dynamics, heuristics, metaheuristics, artificial intelligence, analytics, and also multiple-criteria decision making. The number and the increasing size of the problems arising in real life require mathematical models and solution methods adequate to their complexity. There has also been increasing research interest in Big Data ...

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
  • Language: en
  • Pages: 784

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques

This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and presenting an array of examples, many drawn from real-life applications. Most theoretical developments are accompanied by extensive empirical analysis, offering a deep insight into both theoretical and practical aspects of the subject. The book presents the combined research experiences of 40 expert contributors of world renown.

Mathematical Methods for Knowledge Discovery and Data Mining
  • Language: en
  • Pages: 394

Mathematical Methods for Knowledge Discovery and Data Mining

  • Type: Book
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  • Published: 2007-10-31
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  • Publisher: IGI Global

"This book focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance, manufacturing, marketing, performance measurement, and telecommunications"--Provided by publisher.

Encyclopedia of Data Warehousing and Mining
  • Language: en
  • Pages: 1382

Encyclopedia of Data Warehousing and Mining

  • Type: Book
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  • Published: 2005-06-30
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  • Publisher: IGI Global

Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of d...

Juan de Valdés and the Italian Reformation
  • Language: en
  • Pages: 278

Juan de Valdés and the Italian Reformation

  • Type: Book
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  • Published: 2016-03-09
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  • Publisher: Routledge

Juan de Valdés played a pivotal role in the febrile atmosphere of sixteenth-century Italian religious debate. Fleeing his native Spain after the publication in 1529 of a book condemned by the Spanish Inquisition, he settled in Rome as a political agent of the emperor Charles V and then in Naples, where he was at the centre of a remarkable circle of literary and spiritual men and women involved in the religious crisis of those years, including Peter Martyr Vermigli, Marcantonio Flaminio, Bernardino Ochino and Giulia Gonzaga. Although his death in 1541 marked the end of this group, Valdés’ writings were to have a decisive role in the following two decades, when they were sponsored and diff...

BIOMAT 2008
  • Language: en

BIOMAT 2008

  • Type: Book
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  • Published: Unknown
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  • Publisher: Unknown

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Learning and Intelligent Optimization
  • Language: en
  • Pages: 390

Learning and Intelligent Optimization

  • Type: Book
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  • Published: 2017-10-25
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  • Publisher: Springer

This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Learning and Intelligent Optimization, LION 11, held in Nizhny,Novgorod, Russia, in June 2017. The 20 full papers (among these one GENOPT paper) and 15 short papers presented have been carefully reviewed and selected from 73 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning.

Italian Identity in the Kitchen, or Food and the Nation
  • Language: en
  • Pages: 126

Italian Identity in the Kitchen, or Food and the Nation

Massimo Montanari draws readers into the far-flung story of how local and global influences came to flavor Italian identity. The fusion of ancient Roman cuisine—which consisted of bread, wine, and olives—with the barbarian diet—rooted in bread, milk, and meat—first formed the basics of modern eating across Europe. From there, Montanari highlights the importance of the Italian city in the development of gastronomic taste in the Middle Ages, the role of Arab traders in positioning the country as the supreme producers of pasta, and the nation's healthful contribution of vegetables to the fifteenth-century European diet. Italy became a receiving country with the discovery of the New World, absorbing corn, potatoes, and tomatoes into its national cuisine. As disaster dispersed Italians in the nineteenth century, new immigrant stereotypes portraying Italians as "macaroni eaters" spread. However, two world wars and globalization renewed the perception of Italy and its culture as unique in the world, and the production of food constitutes an important part of that uniqueness.