students are required to undertake and evidence a series of meetings to confirm progress on the preparation and writing of the OTHM assignment. This tracking sheet has been designed to assist in structuring these meetings‚ and a copy should be sent to OTHM together with the assignment. Self-study students should also complete this tracking sheet to assist in producing their assignment. Meeting 1 Date and time: Suggested coverage: Confirm that assignment guidelines on OTHM’s website
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DATA INTEGRATION Data integration involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations‚ which include both commercial (when two similar companies need to merge their databases and scientific (combining research results from different bioinformatics repositories‚ for example) domains. Data integration appears with increasing frequency as the volume and the need to share existing data explodes
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for67757_fm.fm Page i Saturday‚ January 7‚ 2006 12:00 AM DATA COMMUNICATIONS AND NETWORKING for67757_fm.fm Page ii Saturday‚ January 7‚ 2006 12:00 AM McGraw-Hill Forouzan Networking Series Titles by Behrouz A. Forouzan: Data Communications and Networking TCP/IP Protocol Suite Local Area Networks Business Data Communications for67757_fm.fm Page iii Saturday‚ January 7‚ 2006 12:00 AM DATA COMMUNICATIONS AND NETWORKING Fourth Edition Behrouz A. Forouzan DeAnza College with
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Nagham Hamid‚ Abid Yahya‚ R. Badlishah Ahmad & Osamah M. Al-Qershi Image Steganography Techniques: An Overview Nagham Hamid University Malaysia Perils (UniMAP) School of Communication and Computer Engineering Penang‚ Malaysia nagham_fawa@yahoo.com Abid Yahya University Malaysia Perlis (UniMAP) School of Communication and Computer Engineering Perlis‚ Malaysia R. Badlishah Ahmad University Malaysia Perlis (UniMAP) School of Communication and Computer Engineering Perlis‚ Malaysia
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Start with the partial model in the file Ch12 P10 Build a Model.xls on the textbook’s Web site‚ which contains the 2013 financial statements of Zieber Corporation. Forecast Zeiber’s 2014 income statement and balance sheets. Use the following assumptions: (1) Sales grow by 6%. (2) The ratios of expenses to sales‚ depreciation to fixed assets‚ cash to sales‚ accounts receivable to sales‚ and inventories to sales will be the same in 2014 as in 2013. (3) Zeiber will not
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Assignment Cover Sheet Faculty of Science‚ Engineering and Built Environment NAME: Sagar Agarwal STUDENT ID: 213188362 UNIT CODE: SIT717 ASSIGNMENT/PRAC No.: 2 ASSIGNMENT/PRAC NAME: Assignment 2 DUE DATE: 6th Oct‚ 2013 Plagiarism and collusion Plagiarism occurs when a student passes off as the student’s own work‚ or copies without acknowledgment as to its authorship‚ the work of any other person. Collusion occurs when a student obtains the agreement of another person for a fraudulent
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Data migration • Data migration is the process of transferring data between storage types‚ formats‚ or computer systems. • Data migration is usually performed programmatically to achieve an automated migration‚ freeing up human resources from tedious tasks. • It is required when organizations or individuals change computer systems or upgrade to new systems. • To achieve an effective data migration procedure‚ data on the old system is mapped to the new system providing a design
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Data Preprocessing 3 Today’s real-world databases are highly susceptible to noisy‚ missing‚ and inconsistent data due to their typically huge size (often several gigabytes or more) and their likely origin from multiple‚ heterogenous sources. Low-quality data will lead to low-quality mining results. “How can the data be preprocessed in order to help improve the quality of the data and‚ consequently‚ of the mining results? How can the data be preprocessed so as to improve the efficiency and ease
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Big Data Management: Possibilities and Challenges The term big data describes the volumes of data generated by an enterprise‚ including Web-browsing trails‚ point-of-sale data‚ ATM records‚ and other customer information generated within an organization (Levine‚ 2013). These data sets can be so large and complex that they become difficult to process using traditional database management tools and data processing applications. Big data creates numerous exciting possibilities for organizations‚
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SMS CUSAT Reading Material on Data Mining Anas AP & Alex Titty John • What is Data? Data is a collection of facts and information or unprocessed information. Example: Student names‚ Addresses‚ Phone Numbers etc. • What is a Database? A structured set of data held in a computer which is accessible in various ways. Example: Electronic Address Book‚ Phone Book. • What is a Data Warehouse? The electronic storage of large amount of data by business. Concept originated in
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