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    detect the fraud

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    3.How to detect the fraud? There are many ways to detect the fraud .They can simply be divided into two categories One is quantitative analysis‚another is qualitative analysis. In quantitative analysis‚the sample is fifty thousand investment company which issued form ADV ‚ form ADV is required to issue to SEC when the investment company’s client number more than 15 people or the size of asset under management is larger than $ 25 million ‚ if you did not issue the document or it is not correctly

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    Data Base Queries

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    Data base • What are Group Functions? • Types of Group Functions • Using Group Functions • Using AVG and SUM function • Using MIN and MAX function • Using COUNT function • Group functions and NULL values • Using the NVL Function with Group Function • Creating GROUP of DATA • Creating GROUP of DATA:GROUP BY Clause • Using the GROUP BY clause • Grouping by more than one column • Using the GROUP BY clause on multiple columns • Illegal

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    Queries

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    QUERY : *queries are perhaps the most important component in a database. Queries are used to retrieve information from a database. A *query is a set of rules for finding information in a database. Queries in a database use the Structured Query Language (SQL – often pronounced “sequel”). *queries can be created using the much simpler Query by Example (QBE) window. * most common variety of query is the select query‚ where the query is used to select certain information from the database according

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    Data Models

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    Data Models Consider a simple student registration. Specifically we want to support the tasks of students registering for or withdrawing from a class. To do this‚ the system will need to record data about what entities? What specific data about the entities will need to be stored? What is the cardinality between students and courses? Diagram the data model. While‚ considering a student class registration system for registering or withdrawing a system must have the capability to record data in

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    Logical Data Models into Physical Data Models Susan Dash Ralph Reilly IT610-1404A-01 According to an article written by Tom Haughey the process for transforming a logical data model into a physical data model is: The business authorization to proceed is received. Business requirements are gathered and represented in a logical data model which will completely represent the business data requirements and will be non-redundant. The logical model is then transformed into a first cut physical model by applying

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    The New Fraud Triangle Model

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    and Management Sciences (JETEMS) 3(3):191-195 (ISSN:2141-7024) The New Fraud Triangle Model 1 Rasha Kassem and 2Andrew Higson 1 British University in Egypt Cairo-Suez Desert Road‚ El Sherouk City 2 School of Business and Economics‚ Loughborough University‚ Loughborough‚ LE11 3TU‚ UK Corresponding Author: Rasha Kassem ___________________________________________________________________________ Abstract Fraud in corporations is a topic that receives significant and growing attention

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    Use of Data Mining in Fraud Detection Focus on ACL Hofstra University Abstract This paper explore how business data mining software are used in fraud detection. In the paper‚ we discuss the fraudfraud types and cost of fraud. In order to reduce the cost of fraud‚ companies can use data mining to detect the fraud. There are two methods: focus on all transaction data and focus on particular risks. There are several data mining software on the market‚ we introduce seven

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    Evolution of Data Models

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    The Evolution of Data Models The quest for better data management has led to different models that attempt to resolve the file system’s critical shortcomings. Because each data model evolved from its predecessors‚ it is essential to examine the major data models in roughly chronological order. 1.1 The Hierarchical Model A Hierarchical Database Model is a data model in which the data is organized into a tree-like structure. The structure allows representing information using parent/child relationships:

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    SQL Queries

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    information above‚ if you were asked to create an Access query that showed the Student Name and Grade for all students taking a class in Room H201‚ what tables would you need and how would you link them together? The tables needed include: Student‚ Class‚ Enroll These tables would be linked together by foreign keys; Enroll Table would be linked to Student table by FKStuID; Class would be linked to Enroll Table by FK ClassID For the requested query above‚ what‚ if any‚ criteria would you use and

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    A MULTIDIMENSIONAL DATA MODEL Data warehouses and OLAP tools are based on a multidimensional data model. This model views data in the form of a data cube. FROM TABLES TO DATA CUBES What is a data cube? A data cube allows data to be modeled and viewed in multiple dimensions. It is defined by dimensions and facts. In general terms‚ dimensions are the perspectives or entities with respect to which an organization wants to keep records. Each dimension may have a table associated with it‚ called

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