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1. |
Record Nr. |
UNINA9910784150603321 |
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Autore |
Han Jiawei |
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Titolo |
Data mining [[electronic resource] ] : concepts and techniques / / Jiawei Han, Micheline Kamber |
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Pubbl/distr/stampa |
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Amsterdam ; ; London, : Elsevier, c2006 |
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ISBN |
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Edizione |
[2nd ed.] |
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Descrizione fisica |
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1 online resource (772 p.) |
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Collana |
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The Morgan Kaufmann series in data management systems |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Data mining |
Computer science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Front cover; Title page; Copyright page; Dedication; Table of contents; Foreword; Preface; Organization of the Book; To the Instructor; To the Student; To the Professional; Book Websites with Resources; Acknowledgments for the First Edition of the Book; Acknowledgments for the Second Edition of the Book; 1 Introduction; 1.1 What Motivated Data Mining? Why Is It Important?; 1.2 So, What Is Data Mining?; 1.3 Data Mining-On What Kind of Data?; 1.4 Data Mining Functionalities-What Kinds of Patterns Can Be Mined?; 1.5 Are All of the Patterns Interesting?; 1.6 Classification of Data Mining Systems |
1.7 Data Mining Task Primitives1.8 Integration of a Data Mining System with a Database or Data Warehouse System; 1.9 Major Issues in Data Mining; 1.10 Summary; Exercises; Bibliographic Notes; 2 Data Preprocessing; 2.1 Why Preprocess the Data?; 2.2 Descriptive Data Summarization; 2.3 Data Cleaning; 2.4 Data Integration and Transformation; 2.5 Data Reduction; 2.6 Data Discretization and Concept Hierarchy Generation; 2.7 Summary; Exercises; Bibliographic Notes; 3 Data Warehouse and OLAP Technology: An Overview; 3.1 What Is a Data Warehouse?; 3.2 A Multidimensional Data Model |
3.3 Data Warehouse Architecture3.4 Data Warehouse Implementation; 3.5 From Data Warehousing to Data Mining; 3.6 Summary; Exercises; Bibliographic Notes; 4 Data Cube Computation and Data Generalization; 4.1 Efficient Methods for Data Cube Computation; 4.2 Further Development of Data Cube and OLAP Technology; 4.3 |
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Attribute-Oriented Induction-An Alternative Method for Data Generalization and Concept Description; 4.4 Summary; Exercises; Bibliographic Notes; 5 Mining Frequent Patterns, Associations, and Correlations; 5.1 Basic Concepts and a Road Map |
5.2 Efficient and Scalable Frequent Itemset Mining Methods5.3 Mining Various Kinds of Association Rules; 5.4 From Association Mining to Correlation Analysis; 5.5 Constraint-Based Association Mining; 5.6 Summary; Exercises; Bibliographic Notes; 6 Classification and Prediction; 6.1 What Is Classification? What Is Prediction?; 6.2 Issues Regarding Classification and Prediction; 6.3 Classification by Decision Tree Induction; 6.4 Bayesian Classification; 6.5 Rule-Based Classification; 6.6 Classification by Backpropagation; 6.7 Support Vector Machines |
6.8 Associative Classification: Classification by Association Rule Analysis6.9 Lazy Learners (or Learning from Your Neighbors); 6.10 Other Classification Methods; 6.11 Prediction; 6.12 Accuracy and Error Measures; 6.13 Evaluating the Accuracy of a Classifier or Predictor; 6.14 Ensemble Methods-Increasing the Accuracy; 6.15 Model Selection; 6.16 Summary; Exercises; Bibliographic Notes; 7 Cluster Analysis; 7.1 What Is Cluster Analysis?; 7.2 Types of Data in Cluster Analysis; 7.3 A Categorization of Major Clustering Methods; 7.4 Partitioning Methods; 7.5 Hierarchical Methods |
7.6 Density-Based Methods |
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Sommario/riassunto |
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Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge.<b |
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2. |
Record Nr. |
UNINA9910255044903321 |
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Autore |
Kondoh Kenji |
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Titolo |
The Economics of International Immigration : Environment, Unemployment, the Wage Gap, and Economic Welfare / / by Kenji Kondoh |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XIV, 243 p. 21 illus., 8 illus. in color.) |
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Collana |
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New Frontiers in Regional Science: Asian Perspectives, , 2199-5974 ; ; 27 |
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Disciplina |
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Soggetti |
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Regional economics |
Spatial economics |
Population |
Labor economics |
Environmental economics |
Regional/Spatial Science |
Population Economics |
Labor Economics |
Environmental Economics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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1. Introduction and Summary -- Part I. International Migration and the Economy of the Host Country -- 2. Permanent Migrants and Cross-Border Workers: The Effects on the Host Country -- 3. Legal Migration and Illegal Migration: The Effectiveness of Qualitative and Quantitative Restriction Policies -- Part II. International Immigration and the Labor Market -- 4. International Immigration and Economic Welfare in an Efficiency Wage Model: The Coexistence Case of Both Legal and Illegal Foreign Workers -- 5. Temporary and Permanent Immigration Under Unionization -- 6. The Frequency of Migration and Optimal Restriction Policies -- Part III. International Immigration and the Natural Environment -- 7. Trans-boundary Pollution and International Migration -- 8. Trans-boundary Pollution and Brain Drain Migration -- 9. Pollution Abatement Equipment and International Migration -- 10. |
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Unemployment, Environmental Policy, and International Migration -- 11. Renewable Resources, Environmental Pollution, and International Migration -- Part IV. International Immigration and Economic Integration -- 12. International Integration with Heterogeneous Immigration Policies -- 13. Emigration, Immigration, and Skill Formation: The Case of a Midstream Country -- 14. Can the Economic Partnership Agreements Help the Developed Country with a Decreasing Population?. |
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Sommario/riassunto |
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This is the first book that takes a theoretical approach to the effects of international immigration by considering the current economic topics confronted by more highly developed countries such as Japan. Developed here is the classic trade model by Heckscher–Ohlin–Samuelson, McDougall’s basic model of the international movement factor, the urban–rural migration model by Harris–Todaro, and Copeland–Taylor’s well-known model in the field of environmental economics by introducing new trends such as economic integration including free trade and factor mobility between countries at different stages of development. Coexistence of two types of immigrants – legal, skilled workers and illegal, unskilled workers – without any explicit signs of discrimination, transboundary pollution caused by neighboring lower-developed countries with poor pollution abatement technology, difficult international treatment of transboundary renewable resources, the rapid process of aging and population decrease, the higher unemployment rate of younger generations, and the serious gap between permanent and temporary employed workers—are also considered in this book as new and significant topics under the context of international immigration. Taking into account the special difficulties of those serious problems in Asia, each chapter illustrates Japanese and other Asian situations that encourage readers to understand the importance of optimal immigration policies. Also shown is the possibility that economic integration and liberalization of international immigration should bring about positive effects on the economic welfare of the developed host country including the aspects of natural environment, renewable transboundary resources, the rate of unemployment, and the wage gap between workers. |
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