pieces and indigenous art works. Like the Inuit Art Collection It is also like an art gallery simply filled with older art works. The art works date back to eighteenth century to present‚ many of which were from the French colonists. This type of exhibition relates to the question of how indigenous art should be displayed. This collection is a mix of First Nation’s people’s art and colonialist’s works from colonial time until now. This collection includes pieces from the colonial settlers and depicts
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19. What are some important qualities of a good school teacher? Use specific details and examples to explain why these qualities are important. There are some qualities that should be inherent of a good school teacher. Three most important of them are: punctuality‚ assiduity and commitment to education. The first one‚ punctuality‚ does not refer only to the action of being on time with the activities‚ but also reveals the importance and respect that the teacher attributes to their students. The
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into the Workers’ Compensation (WC) actuarial model workbook. Payroll data for the WC model should contain “only the actual hours worked” for specific Rate Schedule Codes (RSC) groups‚ including executives. The WC payroll data should exclude all paid leave types. A comparison of work hours from the NPHRS mainframe report to the summary in EDW reveals very small differences. We hope to align the NPHRS and EDW work hour data. Also‚ we (Technical Analysis‚ Accounting and Finance) need to understand
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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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A glimpse of Big Data Jan. 2013 What is big data? “Big data is not a precise term; rather it’s a characterization of the never ending accumulation of all kinds of data‚ most of it unstructured. It describes data sets that are growing exponentially and that are too large‚ too raw or too unstructured for analysis using relational database techniques. Whether terabytes or petabytes‚ the precise amount is less the issue than where the data ends up and how it is used.”------Cite from EMC’s report
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market liquidity. Examples silver‚ gold‚ precious items‚ real properties. Direct financial investments are in bonds‚ stock and others forms of security investment. Before making any investment‚ there are many things the company has to take in consideration . It necessary for the company to know how the financial system is still working before investing money carefully ‚ as investing is an important part of the financial planning process. 1. Understanding of law of “ Supply and
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COMPLEXITY MEASURES IN MANUFACTURING SYSTEMS Alberto F. De Toni‚ Alessio Nardini‚ Fabio Nonino‚ Gianluca Zanutto Laboratory of Management Engineering‚ Department of Electrical‚ Management and Mechanical Engineering‚ University of Udine‚ Via delle Scienze 208 33100 Udine (UD)‚ Italy Corresponding Author: Gianluca Zanutto Office: (+39) 0432 55 82 96 Fax: (+39) 0432 55 82 51 e-mail: zanutto@uniud.it 1 Abstract This study analyzes the most widewpread methodologies available in literature
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IT433 Data Warehousing and Data Mining — Data Preprocessing — 1 Data Preprocessing • Why preprocess the data? • Descriptive data summarization • Data cleaning • Data integration and transformation • Data reduction • Discretization and concept hierarchy generation • Summary 2 Why Data Preprocessing? • Data in the real world is dirty – incomplete: lacking attribute values‚ lacking certain attributes of interest‚ or containing only aggregate data • e.g.‚ occupation=“ ”
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Data Warehousing‚ Data Marts and Data Mining Data Marts A data mart is a subset of an organizational data store‚ usually oriented to a specific purpose or major data subject‚ that may be distributed to support business needs. Data marts are analytical data stores designed to focus on specific business functions for a specific community within an organization. Data marts are often derived from subsets of data in a data warehouse‚ though in the bottom-up data warehouse design methodology the data
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Green to gold: how smart companies use environmental strategy to innovate‚ create value‚ and build competitive advantage University Press Fawcett SE‚ Ellram LM‚ Ogden JA (2009): Supply chain management – from vision to implementation Fisher ML (1997): What is the right supply chain for your product? Harvard Business Review‚ 72: 105–116. Kaplan RS‚ Norton DP (1996): The balanced scorecard: translating strategy into action. Boston‚ Mass: Harvard Business School Press Kazem C‚ Richard L (2008): Sustainable
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