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    Web Data Mining

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    System Based On Web Data Mining for Personalized E-learning Jinhua Sun Department of Computer Science and Technology Xiamen University of Technology‚ XMUT Xiamen‚ China jhsun@xmut.edu.cn Yanqi Xie Department of Computer Science and Technology Xiamen University of Technology‚ XMUT Xiamen‚ China yqxie@xmut.edu.cn Abstract—In this paper‚ we introduce a web data mining solution to e-learning system to discover hidden patterns strategies from their learners and web data‚ describe a personalized

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    Analysis of Data Mining

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    ITKM Analysis of Data Mining The article Data Mining by Christopher Clifton analyzed how different types of data mining techniques have been applied in crime detection and different outcomes. Moreover‚ the analysis proposed how the different data mining techniques can be used in detection of different form of frauds. The analysis gave the advantages and disadvantages of using data mining in different operation. The major advantage was that data mining enables analysis of large quantities

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    DATA COMMUNICATION COEN 3193 Assignment No. 1 Brief History of Data Communication Submitted by: Camille A. Bonito BSCpE IV-2 Submitted to: Florinda H. Oquindo TIMELINE OF HISTORY OF DATA COMMUNICATION 1800 Telegraph defined from the Greek... TELE = Afar GRAPHOS = Write 1809 First telegraph in Bavaria. Samuel Soemmering. Used 35 wires with gold electrodes in water. Detection at distant end 2000 feet away was by the amount of gas caused by electrolysis. 1828 First telegraph in the USA

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    Data Analysis Grid

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    Data Collection and Analysis Grid * Use the two articles assigned by your facilitator to identify the following data collection‚ analysis‚ and measurement elements for the studies. Limit each box to no more than three sentences. * * | * Qualitative | * Quantitative | * Data collection methods | * This qualitative study used a focus group interview as the main data collection method with a semi-structured design. | * The study employed an experimental pre-test/post-test

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    Privacy and Personal Data

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    [2009] 5 MLJ ciii Malayan Law Journal Articles 2009 PRIVACY AND PERSONAL DATA PROTECTION IN THE MALAYSIAN COMMUNICATIONS SECTOR — EXISTING IN A VOID? PK Yong Advocate and Solicitor LLM (Information Technology and Telecommunications Law) Introduction Networks and services‚ which provide a secure environment‚ are fundamental to consumer confidence. This confidence rests on the premise that the privacy of communication is protected. At its basic core‚ this means respect for fundamental human

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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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    Juvenile Data Analysis

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    The research being proposed will analyze Juvenile data from‚ “The Bureau of justice Statistics” or BJS‚ using primary data. The site will discuss the link between juvenile delinquency by comparing past research with current research. The study will be concentrated but not limited to discussing the difference in genders. Comparing which gender has a higher substance abuse issue. My hypothesis is that females have a higher substance abuse than males issue which causes criminal involvement. Males are

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    Data Collection Grid

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    University of Phoenix Material Data Collection and Analysis Grid Use the two articles assigned by your facilitator to identify the following data collection‚ analysis‚ and measurement elements for the studies. Limit each box to no more than three sentences. | |Qualitative |Quantitative | |Data collection methods |Purposeful sampling was used to select the |A ramdomized

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    Holographic Data Storage

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    CERTIFICATE OF APPROVAL This is to certify that the Seminar titled HOLOGRAPHIC DATA STORAGE Submitted by Nikhil Puthran 100942 Rahulsing Rajput 100944 Pravish Shetty 100954 Suraj Yadav 100962 In partial fulfillment of requirement for the term work of third year in Computer engineering is approved. EXTERNAL EXAMINER INTERNAL EXAMINER __________________ ___________________ HEAD OF THE DEPARTMENT INTERNAL GUIDE _____________________

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    Ethics, Big Data

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    student’s performance data and use it as a metric to measure a student’s ability to keep on a track that has worked for previous students. The universities collect the data from students from many years to help improve the learning experience of future students so that they may determine a students a current progress in a class and how it compares to others that have preceded them to allow the university to counsel the student if they are falling behind. In “Ethics‚ Big Data‚ and Analytics: A Model

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