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    5-1-15 White-Collar Crimes One would ask why someone with a high position‚ who is already earning vast amounts of cash or resources‚ would use backhanded tactics to maintain or advance their power. Unfortunately‚ the love of money or power have sent what seemed respectable people into corruption. White-collar crimes come in many forms and typically include fraud‚ bribery‚ Ponzi‚ schemes‚ insider trading‚ etc. They are mostly motivated by financial gain and are nonviolent crimes. This crisis has been

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    throughout time attempting to explain the phenomenon of crime‚ consequently‚ there is not a perfect explanation for all crimes (Bohm & Vogel‚ 2011). The various crimes coupled with the various minds of individuals make it nearly impossible to predict‚ prevent‚ as well as apprehend all offenders. The situational crime prevention‚ as well as routine activity theories created as derivatives of the Chicago School‚ explain causal factors of crime in the most practical sense‚ in my opinion. The works

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    $ Search... Log In Sign Up Thief-Takers‚ House-Breakers and Highwaymen: Jonathan Wild and Organised Crime in Early Georgian London Uploaded by Stephen Basdeo ! 299 … Info # Download DOCX 77140072 Thief Takers‚ House-Breakers‚ and Highwaymen: Jonathan Wild and Organised Crime in Early-Georgian London Organised crime is generally considered to be a modern phenomenon‚ yet it appears that it has ex further back in history than is generally assumed (Galeotti‚ 2009‚ p.1). London in the early-eighte

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    crime stat

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    The law enforcement community has an ever-increasing need for timely and accurate data for a variety of purposes such as planning‚ budget formulation‚ resource allocation‚ assessment of police performance‚ and the evaluation of experimental programs. The information in this section focuses on the use‚ method of computation‚ and limitations of basic crime indicators employed by the Uniform Crime Reporting (UCR) Program. These indicators can aid law enforcement administrators in the performance of

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    Hate Crimes in America Katherine Wright Abstract The purpose of this essay‚ is to discuss hate crimes and their effect on victims in America. In this essay I will discuss the meaning of hate crimes and the severity of hate crimes in America. I will discuss how perpetrators choose their victims. I will include statistics on those targeted in hate crimes and what can be done to prevent hate crimes. Hate Crimes in America Hate crimes are unfortunate acts of violence that affect victims and their families

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    data modeling

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    Introduction to Data Modeling and MSAccess CONTENT 1 2 3 4 5 6 Introduction to Data Modeling ............................................................................................................... 5 1.1 Data Modeling Overview ............................................................................................................... 5 1.1.1 Methodology .......................................................................................................................... 6 1.1.2 Data Modeling

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    Crime Rates

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    far do recorded crime rates show how much crime occurs in society Introduction • What is a ‘crime’? • Definition of recorded and unrecorded crime • Indicate how crime rates are recorded and by whom Main Body • Discuss reasons behind recorded and unrecorded crime • Discuss how crime rates are recorded and by whom • Discuss whether crime rates are recorded and collated accurately • Discuss impact on society Conclusion • Summary How far do recorded crime rates show how much crime occurs in society

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    Data Mining

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    Data Mining: What is Data Mining? Overview Generally‚ data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue‚ cuts costs‚ or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it‚ and summarize the relationships identified

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    Data Mining

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    university CASE STUDY OF DATA MINING Summitted by Jatin Sharma Roll no -32. Reg. no 10802192 A case study in Data Warehousing and Data mining Using the SAS System. Data Warehouses The drop in price of data storage has given companies willing to make the investment a tremendous resource: Data about their customers

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    Big Data

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    Big DataData Mining and Business Intelligence Techniques 2 What is Data? • Data is information in a form suitable for use with a computer. • There are two types of data ▫ Structured ▫ Unstructured • The total volume of data is growing 59% every year. • The number of files grow at 88% every year. 3 What is Big Data? Exa Analytics on Big Data at Rest Up to 10‚000 Times larger Peta Data Scale Giga Data at Rest Tera Data Scale Mega Traditional Data Warehouse

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