1 Fraud Fraud can be defined as any activity that leads to the obtaining of financial advantage of causing of loss by implicit or explicit deception. It is the mechanism through which the fraudster gains an unlawful advantage or causes unlawful loss. There are many different types of fraud‚ I would like to mention some of the well known fraud types in the area of the Internet‚ which is an area where more than one billion peole are in touch with everyday. Fraud Terminology • Auction Fraud : involves
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Web usage mining[edit] Web usage mining is the process of extracting useful information from server logs e.g. use Web usage mining is the process of finding out what users are looking for on the Internet. Some users might be looking at only textual data‚ whereas some others might be interested in multimedia data. Web Usage Mining is the application of data mining techniques to discover interesting usage patterns from Web data in order to understand and better serve the needs of Web-based applications
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Motives for the cheats The motives for fraud are clear‚ it’s a financial crime. People can not pay the bills. They figure stealing from an insurance company which is big and greedy is no great moral wrong and no one will miss the money. However‚ even if the company is big and greedy it is still wrong. How people get caught by an insurance company Fraud units at insurance companies are experts. But the reason people get caught are for obvious reason. People make stupid mistakes. However‚ as a word
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should include a table with three columns stating the information you propose to review‚ where the data would be found and what you are specifically looking for in analysing the data. Information – what information do you need to prove/deny hypothesis? | Data – where is that data collected/stored/available? | Knowledge/evidence – what knowledge/evidence do I want to get from analysing this data with respect to the hypothesis? | | | | Details: Note the predication ‘dob-in’ stated in phase
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wine quality data set that is the white vinho verde wine samples from the north of Portugalthe from UC Irvine Machine Learning Repository. This white wine data set includes 4898 observations and 12 variables‚ among which quality is the dependent variable‚ and other 11 attributes- fixed acidity‚ volatile acidity‚ citric acid‚ residual sugar‚ chlorides‚ free sulfur dioxide‚ total sulfur dioxide‚ density‚ pH‚ sulphates‚ and alcohol-are independent variables. Technical summary 1. Data pre-process The
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AGH Journal of Mining and Geoengineering • vol. 36 • No. 3 • 2012 Maria Rosienkiewicz* IDEA OF ADAPTATION VALUE STREAM MAPPING METHOD TO THE CONDITIONS OF THE MINING INDUSTRY 1. Value Stream Mapping method The Value Stream Mapping (VSM) method is one of the tools of the lean manufacturing methodology. It originates in the Toyota Production System (TPS). In Toyota this method was called “Material and Information Flow Mapping”. This technique enables analyzing and designing the flow of
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SOLUTION MINING A Laboratory Exercise in Extracting Copper from a Synthetic Copper Ore Your Name __Mel Hine______________________ Partner’s Name __Jay Ranson____________________ Date _October 2‚ 2012____________ Introduction This laboratory exercise involves the use of dilute sulfuric acid (H2SO4) to leach copper
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underlying attribute values of objects subjected to clustering analysis. In doing so‚ the privacy of individuals’ data would be protected. In this age of data mining‚ we felt that working on data privacy was of paramount importance. We worked in a group of 3 on this and my role specifically was to design and implement the ‘K-means’ algorithm that clusters the data and forms the basis for the data transformation. In addition to my thesis‚ I worked on a solo project which involved developing an inventory
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that term? It’s one of the ma jor goals of Sunlight and while we’ve been working on it for the past couple of months we have a ways to go before it happens in any substantial way. Our goal is simple: integrate in a user-friendly way individual data sets (like campaign contributions‚ lobbyists and government contracts) that makes the whole larger than the sum of its parts. We’d like to create something we’ve dubbed an “Accountability Matrix.” A website where‚ with one click you can look
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P D Y Chapter 3 1 0 2 SURFACE MINING METHODS REFERENCE: BULLIVANT‚ DA. Current Surface Mining Techniques. Journal for the Transportation of Materials in Bulk: Bulk Solids Handling‚ vol 7‚ n6‚ December 1987‚ pp827-833. 2.1 Ore reserves Suitable for Surface Mining Ore reserves suitable for surface mining can be classified initially as; Relatively horizontal stratified reserves with a thin or thick covering of overburden Stratified vein-type deposits with an inclination steeper
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