system for our car. This will prevent our car from being stolen by thieves. Hence‚ in my opinion alarm system and special lock can also be used to prevent theft. Last but not least‚ based on my observation‚ our neighbourhood is very dark at night due to lack of light. In my opinion‚ we have to add some light resources. For example‚ we can switch on our house light. If we do so‚ the thieves will afraid to thefts at our house. Therefore‚ our house will safe from thefts. In a nutshell‚ the three
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Kelly Gallagher states in his article‚ 10 Benefits or reading: Why you should read everyday‚ that books open you to a world of vast knowledge‚ tranquility‚ concentration‚ memory improvement‚ etc. In my experience this is true‚ although I don’t acknowledge the fact that it helps improve your memory. Reading is important to me; it eases my stress and makes me feel magnificent on a daily basis. I tend to shy away from the social media; not trusting the news or posts on social networking sites‚ such
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ALAGA: A socio-interactive park for domestic pet animals EFREN S. AGUSTIN JR I. ABSTRACT Providing a safe environment for both pet and human is tremendous challenge. If done correctly a park for pet can be that place. In the Philippines‚ some neighborhoods and regional parks had liberal policies and permitted domestic pets to run free or off-leash on certain trails‚ but in most cities and other urban areas‚ dog owners or the pet owners were required to keep their dog on-leash when the
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Turning data into information © Copyright IBM Corporation 2007 Course materials may not be reproduced in whole or in part without the prior written permission of IBM. 4.0.3 Unit objectives After completing this unit‚ you should be able to: Explain how Business and Data is correlated Discuss the concept of turning data into information Describe the relationships between DW‚ BI‚ and Data Insight Identify the components of a DW architecture Summarize the Insight requirements and goals of
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Recommendations: They must create the initial database of activities. To populate the database they recommend using local city guides‚ online search engines and personal experience. Users are expected to initiate content of the app as they became familiar within the social network. Content of the app grows along with the social network. For the app to be profitable‚ it must cover larger Metropolitan areas in Canada or the entire country. Fast solution to the content problem must be found in
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HATCO Data Set Description The HATCO data set gives data from a survey of customers of the HATCO company. The data set consists of 100 observations on 14 separate variables. Three types of information were collected. The first type of information is the perception of HATCO on seven attributes identified in past studies as the most influential in the choice of suppliers. The respondents‚ purchasing managers of firms buying from HATCO‚ rated HATCO on each attribute. Each of these 7 variables
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carry ideas into a world larger than the research centres where they were incubated. When the Children’s Machine was published‚ Papert (1993) looked back over the decade since Mindstorms and asked question‚ “Why through a period when so much human activity has been revolutionized‚ have we not seen comparable change in the way we help children learn?” Technology’s exponentially increasing power‚ decreasing costs‚ portability and connectivity have gone beyond what it have been started. Yet‚ inside classrooms
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http://hdl.handle.net/2451/31553 Data Science and Prediction Vasant Dhar Professor‚ Stern School of Business Director‚ Center for Digital Economy Research March 29‚ 2012 Abstract The use of the term “Data Science” is becoming increasingly common along with “Big Data.” What does Data Science mean? Is there something unique about it? What skills should a “data scientist” possess to be productive in the emerging digital age characterized by a deluge of data? What are the implications for business
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researcher used Quantitative data collection methods. Using qualitative data collection method‚ it rely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories. They produce results that are easy to summarize‚ compare‚ and generalize. Quantitative research is concerned with testing hypotheses derived from theory and/or being able to estimate the size of a phenomenon of interest. Depending on the research question‚ participants may
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The Difference Between Data Centers and Computer Rooms By Peter Sacco Experts for Your Always Available Data Center White Paper #1 EXECUTIVE SUMMARY The differences between a data center and a computer room are often misunderstood. Furthermore‚ the terms used to describe the location where companies provide a secure‚ power protected‚ and environmentally controlled space are often used inappropriately. This paper provides a basis for understanding the differences between these locations
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