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Multimedia data mining --- Pattern recognition systems --- Media mining (Data mining) --- Mining multimedia (Data mining) --- Multimedia mining (Data mining) --- Content-based image retrieval --- Data mining

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Deze thesis behandelt de automatische detectie van flitspalen aan de hand van binnenkomende gps-signalen. Dit is een onderwerp in opdracht van TomTom NV te Gent. Momenteel moeten nieuwe flitspalen manueel aangevuld worden in de databanken. Het hoofddoel van deze masterproef ligt hem in het analyseren van het rijgedrag van voertuigen, zodat men uit deze analyse kan besluiten of er op een bepaalde positie al dan niet een flitspaal aanwezig is. De masterproef spitst zich vooral toe op de autosnelwegen omdat het rijgedrag hierop consistenter is. Het project kan onderverdeeld worden in verschillende fasen. Eerst moet de juiste data uit alle gegevens gefilterd worden. Vervolgens moeten er verschillende methoden ontwikkeld worden om de data te analyseren en te verwerken. De methoden die behandeld worden zijn het plotse afremmen en versnellen in de buurt van flitspalen, gemiddelde snelheid op elke punt van de weg en het percentage snelheidsovertreders op elk punt van de weg. Daarna moet er nagegaan worden welke van deze methodes de beste resultaten oplevert. Tenslotte wordt kunstmatige intelligentie gebruikt om het algoritme te trainen om zelf uit te zoeken waar een flitspaal aanwezig is. This thesis deals with the automatic detection of speed cameras on the basis of incoming GPS signals. This is a subject on behalf of TomTom NV in Ghent. Currently, new speed cameras have to be added manually in the databases. The main objective of this thesis lies in analyzing the behavior of vehicles, so you can decide whether or not a speed camera is present at a certain position. The thesis focuses primarily on motorways because the behavior of vehicles on motorways is more consistent. The project can be divided into several stages. First, the given data has to be filtered. Next, there are several methods that have been developed in order to analyze and process the data. The methods covered are the sudden braking and accelerating near speed cameras, the average speed at each point of the road and the percentage of speeders at any point of the road. After that, there has to be decided which of these methods produces the best result. Finally, artificial intelligence will be used to train the machine, so it will be able to find out the position of a speed camera by itself, given new data.

Algoritme - algorithm. --- Data mining - data mining. --- Flitspaal. --- GPS-signalen. --- GPS. --- Java - Java. --- Kunstmatige intelligentie - artificial intelligence. --- Kunstmatige intelligentie. --- Snelheidscamera. --- TomTom.

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The progress of data mining technology and large public popularity establish a need for a comprehensive text on the subject. The series of books entitled by "Data Mining" address the need by presenting in-depth description of novel mining algorithms and many useful applications. In addition to understanding each section deeply, the two books present useful hints and strategies to solving problems in the following chapters. The contributing authors have highlighted many future research directions that will foster multi-disciplinary collaborations and hence will lead to significant development in the field of data mining.

Data mining. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Machine learning

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This book intends to bring together the most recent advances and applications of data mining research in the promising areas of medicine and biology from around the world. It consists of seventeen chapters, twelve related to medical research and five focused on the biological domain, which describe interesting applications, motivating progress and worthwhile results. We hope that the readers will benefit from this book and consider it as an excellent way to keep pace with the vast and diverse advances of new research efforts.

Data mining. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Biotechnology

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Currently there are major challenges in data mining applications in the geosciences. This is due primarily to the fact that there is a wealth of available mining data amid an absence of the knowledge and expertise necessary to analyze and accurately interpret the same data. Most geoscientists have no practical knowledge or experience using data mining techniques. For the few that do, they typically lack expertise in using data mining software and in selecting the most appropriate algorithms for a given application. This leads to a paradoxical scenario of ""rich data but poor knowledge"".