How Text Mining Helps To Find Fradulent Buyers

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Presentation Description

Text mining and statistics help to predict and disclose fraud and helps in minimizing the loss for detecting the fraudulent transactions there is availability of sophisticated tools in data mining. The most important stride in fraud detection is to recognize the factor that leads to fraud work. Tools like decision trees Boosting trees, Classification trees, CHAID, machine learning, neural networks, cluster analysis and some of the models that are predictive can bring out probability of fraudulent works. This tool widely concentrates on the resources in the best effective way and tries to prevent the loss caused by fraud.

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Presentation Transcript

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How Text Mining Helps To Find Fradulent Buyers

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Text analytics can help companies discover true market perceptions , but only if the analysis is done in a way that reveals them

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WHAT IS TEXT MINING? Text mining refers to determining the information of very high quality

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FRAUDULENT WORKS The results of fraud are very increasing in a very drastic way

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The results of fraud are very increasing in a very drastic way

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Detecting the fraud work can be quite tricky and difficult

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TEXT MINING FINDS THE FRAUDULENT BUYERS Boosting trees Classification trees CHAID Neural networks Machine learning Predictive can bring out probability of fraudulent work Cluster analysis

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APPLICATION & IDEAS TO DETECT TYPES OF FRAUD Text mining companies with an intention of strong consumer force which is focused on financial, retail, Marketing and communications to drill down their data

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DETECTION OF INTRUSION Text mining can serve in improving the intrusion detection by adding or including a stage of focus from the everyday network activity

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DETECTION OF LIE The data which has been collected from the investigation are to be compared and detection of fraud will be known if any fraudulent works occur

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