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criminaliteitsanalyse: data mining

Modelling and Predicting Property Crime Trends. How to model and predict propety crime trends
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Manual of Crime Analysis Map Production.
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Detecting Hot Spots Using Cluster Analysis and GIS. This paper explores two of the problematic aspects of cluster analysis for hot spot detection. First, the difficulties in determining the appropriate number of clusters, p, to generate. Second, several statistical methods that have the potential for establishing the significance of clusters identified as hot spots.
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Data Mining, de Toetsing van Beslisregels & Privacy. Een juridische zoektocht naar een procedure om het toepassen van beslisregels te kunnen toetsen.
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Data mining onder de loep. Deel 1. Data mining maakt het mogelijk nieuwe kennis uit gegevens te halen. In twee artikelen wordt het hoe, wat en warom van data mining uitgelegd.
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Data mining onder de loep. Deel 2. Data mining maakt het mogelijk nieuwe kennis uit gegevens te halen. In twee artikelen wordt het hoe, wat en warom van data mining uitgelegd.
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Data mining: schatgraven in databases. Met behulp van data mining wordt kennis gedestilleerd uit een grote hoeveelheid gegevens. De belangstelling voor deze techniek neemt, met de toename van databanken enorm toe. Hoe werkt het?
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Data Mining: An Introduction by the Queen's University of Belfast.
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Machine Learning, Neural and Statistical Classification. This book is based on the EC (ESPRIT) project StatLog which compare and evaluated a range of classification techniques, with an assessment of their merits, disadvantages and range of application. This integrated volume provides a concise introduction to each method, and reviews comparative trials in large-scale commercial and industrial problems. It makes accessible to a wide range of workers the complex issue of classification as approached through machine learning, statistics and neural networks, encouraging a cross-fertilization between these discplines.
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The complete Electronic Statistics Textbook. This Electronic Statistics Textbook offers training in the understanding and application of statistics. The Electronic Textbook begins with an overview of the relevant elementary (pivotal) concepts and continues with a more in depth exploration of specific areas of statistics, organized by "modules," accessible by buttons, representing classes of analytic techniques. A glossary of statistical terms and a list of references for further study are included.
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