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    Target Data Breach

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    TARGET DATA BREACH 2013/14 Introduction There are many types of breaches that can occur when it comes to secure systems and networks. The target breach of 2013/14 was due to human error. It is said that the company had easily stolen credentials. If there was the necessary secure measures taken‚ this breach could have been stopped. Target did not have an adequate firewall which is why the hackers were able to corrupt the system and steal personal information and credit card information. This whole

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    Data Leakage Detection

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    2231-4946] Development of Data leakage Detection Using Data Allocation Strategies Rudragouda G Patil Dept of CSE‚ The Oxford College of Engg‚ Bangalore. patilrudrag@gmail.com Abstract-A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). If the data distributed to third parties is found in a public/private domain then finding the guilty party is a nontrivial task to distributor. Traditionally‚ this leakage of data is handled by water marking technique

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    Analysing and Storing Data

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    Introduction Data management within Human Resources (HR) is essential as this can be used when organisations have to make decisions‚ contact employees and also satisfy legal requirements. Aims and Objectives The aim of this report is to show the importance of why organisations must collect HR data. The objectives are: * To identify two types of data organisations must collect and how this supports HR * To describe two methods of storing HR records and the benefits of each * To explain two

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    Data Flow Diagram

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    In the late 1970s data-flow diagrams (DFDs) were introduced and popularized for structured analysis and design (Gane and Sarson 1979). DFDs show the flow of data from external entities into the system‚ showed how the data moved from one process to another‚ as well as its logical storage. Figure 1 presents an example of a DFD using the Gane and Sarson notation. There are only four symbols: Squares representing external entities‚ which are sources or destinations of data. Rounded rectangles

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    Gene Expression Data

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    Microarray Technology | 7 | | 1.2.1 Measuring mRNA levels | 7 | | 1.2.2 Pre-processing of Gene Expression Data | 8 | | 1.2.3 Applications of Clustering Gene Expression Data | 9 | | 1.3 Mutual Information | 10 | | 1.4 Introduction to Clustering Techniques | 11 | | 1.4.1 Clusters and Clustering | 11 | | 1.4.2 Categories of Gene Expression Data Clustering | 11 | | 1.5 Semi-supervised Learning | 12 | | 1.5.1 Semi-supervised Classification |

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    Customer Data Entry

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    PROJECT REPORT ON “” GROUP MEMBERS:- UNDER THE GUIDANCE OF Customer Data Entry 1 ACKNOLEDGEMENT It gives us great pleasure in presenting this project titled “CUSTOMER DATA ENTRY”. We are pleased with our collage’s teaching & non teaching staff members‚ who have been very much helpful and

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    data security process

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    1) Name and describe data security process. It is about keeping data safe. Many individuals‚ small business and major companies rely heavily on their computer systems. If the data in these computer systems is damaged‚ lost‚ or stolen‚ it can lead to disaster. Key threats to data security. Such process can be done by using Passwords and encryptions. 2) Explain Internet and Intranet with a basic difference Internet is a worldwide system of interconnected computer networks‚ when you connect your

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    Digital Data Transmission

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    Digital Transmission of Digital Data Digital Transmission of Digital Data Digital Data -- can be represented electronically(by sequences of specified voltage levels) or optically Digital Transmission -- sending of information over a physical communications media in the form of digital signals. Page 2 Digital Transmission of Digital Data  Computers produce binary data  Standards needed to ensure both sender and receiver understands this data  Codes: digital combinations

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    Limitations of Data Mining Data mining is one of the more efficient tools when it comes to looking for specific characteristics over large amounts of data. It is as simple as typing in certain keywords and the words being highlighted in certain articles and other data. Data mining however‚ is not nearly a perfect process. It has certain limitations and capabilities that can vary by situation. The article N.Y. bomb plot highlights limitations of data mining‚ brought up a few very good points

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    Page 2 Data communications (Datacom) is the engineering Datacom) discipline concerned with the communication between devices. A network is a set of devices (often referred to as nodes) nodes) connected by communication links. links. A computer network is any set of computers or devices connected to each other via some form of transmission medium with the ability to exchange data. Here information is presented in a form which is agreed upon by the parties creating and using the data. A computer

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