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            Modelling 
              and Predicting Property Crime Trends. How to model and 
              predict propety crime trends | 
            307 
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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. | 
            125 
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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. | 
            816 
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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.  | 
            46 
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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. | 
            43 
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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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            lees | 
          
           
              | 
            Data Mining: An 
              Introduction by the Queen's University of Belfast. | 
             | 
            lees | 
          
           
              | 
            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. | 
             | 
            lees | 
          
           
              | 
            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. | 
              | 
            lees |