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Titlebook: Journeys to Data Mining; Experiences from 15 Mohamed Medhat Gaber Book 2012 Springer-Verlag Berlin Heidelberg 2012 artificial intelligence

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楼主: 多愁善感
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Introduction,through the area of data mining is as important as simply gaining the required knowledge in the field. The contributors to this volume are successful scientists and professionals within the field of data analytics. All the authors in this volume have helped to shape the field of data analytics through their many valuable contributions.
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Discovering Privacy,machine learning than most. This leads to my first real “data-mining” work (although it was not called that at the time): applying machine learning techniques to a problem in heterogeneous databases. Schema integration, or more specifically schema element matching, has all of the hallmarks we see in good knowledge discovery problems:
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Making Data Analysis Ubiquitous: My Journey Through Academia and Industry,ork and the commercialization of the technology. It spends some time explaining the applications that made a difference in the real life and explains some of the challenges I faced in doing so. Finally, it shares my thoughts about some of the lessons I learned and some suggestions for the next generation of data mining researchers.
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A Journey in Pattern Mining,uestions of great import. Knowledge and insights are gained through data analysis and mining, feeding this inversion of science, i.e., rather than going from hypothesis to data, we use data to generate and validate hypotheses and to generate knowledge and understanding. The same can be said for applications in the commercial realm.
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