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    Data Leakage Detection

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    KNOWLEDGE AND DATA ENGINEERING‚ VOL. 23‚ NO. 1‚ JANUARY 2011 51 Data Leakage Detection Panagiotis Papadimitriou‚ Student Member‚ IEEE‚ and Hector Garcia-Molina‚ Member‚ IEEE Abstract—We study the following problem: A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some of the data are leaked and found in an unauthorized place (e.g.‚ on the web or somebody’s laptop). The distributor must assess the likelihood that the leaked data came from

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    Research Data Analysis

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    RESEARCH DATA ANALYST JOB PROFILE SUMMARY JOB CATEGORY: JOB TITLE: Research Support Research Data Analyst JOB CATEGORY DEFINITION: This specialty covers the design‚ implementation and evaluation of various research projects. Functions include providing support in areas such as instrumentation‚ data management‚ laboratory operations and general administration. JOB TITLE DEFINITION: The Research Data Analyst gathers and analyzes data from various databases and sources‚ performing statistical and/or

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    The Salem With Trials

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    The Salem Witch Trials During the years 1692‚ fear of devil worshipping and witch craft swept through the city of Salem‚ Massachusetts. More than 200 men‚ women and children were accused of witch craft. Of those 200‚ 20 people were executed. They were taken down to Gallows Hill where each was hanged for their crime. The trials went on for about a year; more and more people came forth with accusations of others who they thought were practicing witch craft or being possessed by the devil.

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    BIG DATA ANALYTICS

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    Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture‚ curation‚ storage search‚ sharing‚ transfer‚ analysis and visualization. At multiple TERABYTES in size‚ the text and images of Wikipedia are a classic example of big data. As of 2012‚ limits on the size of data sets that

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    Data Mining

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    is a necessity for a businesses trying to maximize its profits. A new‚ and important‚ tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships‚ once extracted‚ can be used to make valid predictions about the behavior of the customer. Data Mining is generally used for four main tasks: (1) to improve the process of making new customers and retaining customers;

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    Ethics of Big data

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    sell my pictures from Facebook to a corporate entity?”‚ “Should I be allowed to do so and should companies be legally allowed to buy them off me?” were the set of questions that followed. The article titled ‘Consumers want rewards for use of personal data’ which appeared in the BusinessNews Daily on the 25th of June 2013 started a war of choice and rights in my mind. I understand very well that individuals must be allowed the freedom of choice when it comes to their ‘personal’ belongings. I also understand

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    salem trials

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    Was the Salem Witchcraft Hysteria a Product of Women’s Search for Power? The Salem Witchcraft Trials was brought on by some young women. They accused many different people of performing witchcraft. Those who said they were innocent were killed and those who said they were guilty were used to help find more witches. Lyle Koehler says “Yes” in his book‚” A Search for Power: The ‘Weaker Sex’ in Seventeenth-Century New England.” He believes that women wanted more power‚ so they pretended to be

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    DATA MANAGEMENT

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    Topic 1: The Data Mining Process: Data mining is the process of analyzing data from different perceptions and summarizing it into useful evidence that can be used to increase revenue‚ cut 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. Association‚ Clustering‚ predictions and sequential patterns‚ decision trees and classification

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    Data Collection Methods

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    BOC-008-0312/2007 DATA COLLECTION METHODS Methods of data collection. The term data means groups of information that represent the qualitative or quantitative attributes of a variable or set of variables. Data are typically the results of measurements and can be the basis of graphs‚ images‚ or observations of a set of variables. Data are often viewed as the lowest level of abstraction from which information and knowledge are derived. Data can be classified into primary and secondary data. In order to

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    Data driven HRIS

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    The Benefits of Being Data-Driven: There are three primary benefits to making your HR organization data-driven: Expanded Awareness: As the amount of HR data within an organization has grown‚ so too has the need to glean better information from that data. Problems that HR organizations assumed were just part of “the cost of doing business” are now identified‚ acted on‚ and in many cases‚ prevented. HR business indicators that were previously only hinted at by virtue of an anomaly here or a trend

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