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    Data Modeling

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    Lecture Notes 1 Data Modeling ADBMS Lecture Notes 1: Prepared by Engr. Cherryl D. Cordova‚ MSIT 1 • Database: A collection of related data. • Data: Known facts that can be recorded and have an implicit meaning. – An integrated collection of more-or-less permanent data. • Mini-world: Some part of the real world about which data is stored in a database. For example‚ student grades and transcripts at a university. • Database Management System (DBMS): A software package/ system to facilitate

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    Analysis of Data

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    Analysis of Data The researcher distributed 150 questionnaires to people and students from different schools. After collecting the papers‚ each was tallied one by one. The questionnaire has a total of Seven(7) questions each with a different set and amount of answers. One hundred(100) questionnaires were distributed in person while the Fifty(50) were answered online. The results of the survey will be explained by percentage and shown through pie chart as well along with a slight conclusion for

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    Data security

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    Data Security and Regulations SRK Abstract This paper discusses data security‚ its importance and implementation. The way threats are posed to information of organizations is also discussed. There are plenty of leakage preventive solutions available in the market. Few of them are listed in the paper. There is a list of regulations governing data security in financial and healthcare sector at the end. Data Security and Regulations As we are advancing into information age‚ more

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    21 Feb. 2013. Down and Out in Paris and London Down and out in Paris and London is the work of an elite author by name George Orwell which was published in 1933. It explains in two parts‚ the subject of poverty about two cities. It gives an account of his survival in Paris and his experience as a casual laborer. In his second part he tells of his life in London. This he uses the viewpoint of a tramp and what accommodation is available. This book so compelling as it is written in a way that

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    Data Handling

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    nicotinate had no effect. Chromium supplementation to diets of pigs has been shown to increase the percentage of muscle by 7% and longissimus dorsi muscle area by 18%‚ while reducing 10th rib fat 20% and serum cholesterol 19% (Page et al. 1993) when fed from 30 kg body weight until slaughter at 100 kg. Chromium response was specific for CrP. Other forms tested‚ including chromium chloride‚ were without effect. Similarly‚ porcine somatotropin (pST) markedly improves growth performance and carcass composition

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    Data Mining

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    Data mining Data mining is simply filtering through large amounts of raw data for useful information that gives businesses a competitive edge. This information is made up of meaningful patterns and trends that are already in the data but were previously unseen. The most popular tool used when mining is artificial intelligence (AI). AI technologies try to work the way the human brain works‚ by making intelligent guesses‚ learning by example‚ and using deductive reasoning. Some of the more popular

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    Value at Risk

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    Initially‚ the VaR has been anticipating to quantify the available risks in derivatives markets‚ but it has grown widely and it has now been applied in measuring all kinds of risks‚ primarily credit and market risks. It also developed from a tool that quantifies risk to a tool that is applied in active risk management. Today VaR has shifted beyond application in financial institutions. In the beginning‚ companies with largely exposed to financial markets used other kinds of activities before spreading

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    Data Transmission over

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    EE/CS M171L Fall 2010 Raw Data Sheet Lab 3: Data Transmission over 802.11b Wireless LAN Date 2014/02/20 2. Observation: The main goals for the experiment 3 are first‚ to get basic knowledge of various factors affecting data throughput in a wireless channel‚ second‚ to analyze effect of sporadic losses on TCP throughput and finally‚ to familiarize with basic performance measurement tools in computer networks. In order for us to accomplish these goals‚ we conduct

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    Data Communication

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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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    data mining

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    Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific

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