Before the method will be described it is necessary to say that the particular groups of idioms (colour idioms) does not cover all existing idioms in that particular area. Although it is not possible within the range of this thesis to gather all existing colour, it is believed that there are enough of them for the results to be generalized and then compared. The analysing method used in this thesis is based on Jana Vokácová as offered in her PhD. Dissertation A Comparative Study of English, Czech
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Therefore, this chapter explains in depth the methodology that has been used to carry out this research. The main objective for this research is to build an equalization for MDM to compensate for the channel's imperfections and recover the original data. Therefore, this research is considered is one of exploratory research. Basically the main purpose of this chapter is to show the approaches that used executing this research and demonstrating of how the approaches
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COMPARATIVE ANALYSIS OF VARIOUS SORTING ALGORITHM ABSTRACT: Sorting is a commonly used operation in computer science. In addition to its main job, sorting is often required to facilitate some other operation such as searching, merging and normalization. A sorting algorithm consists of comparison, swap, and assignment operations. There are several elementary and advanced sorting algorithms that are being used in practical life as well as in computation such as Quick sort, Bubble sort, Merge sort,
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actions and reactions, for an extended period of time. Qualitative research that is used to look at individuals, a small group of participants, or a group as a whole naturally yield themselves to case studies. Researchers form case studies by collecting data about the subject or sub-subjects under scrutiny. They employ observations, personal dialogue, procedural etiquette, tests, inspection of records, and collection of writing samples. The reason for this essay is to describe how case studies, psychobiography
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3 Strategies to combat counterfeiting Extensive research on measures and strategies to combat counterfeiting has been con-ducted. Those strategies against counterfeiting can be taken in different areas and have to be seen as complementary. This part of the paper analyses approaches measures and strategies that have been formulated and discussed by relevant literature. 3.1 Legal strategy The first strategy that is often suggested is the legal prosecution of counterfeiters. De Chernatony and McDonald
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University of Tampere, Finland. These notes are heavily based on the following books. Agresti, A. & Finlay, B., Statistical Methods for the Social Sciences, 3th Edition. Prentice Hall, 1997. Anderson, T. W. & Sclove, S. L., Introductory Statistical Analysis. Houghton Mifflin Company, 1974. Clarke, G.M. & Cooke, D., A Basic course in Statistics. Arnold, 1998. Electronic Statistics Textbook, http://www.statsoftinc.com/textbook/stathome.html. Freund, J.E.,Modern elementary statistics. Prentice-Hall
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this data and put it into perspective for a big picture as well as into a detailed scale for future and immediate decisions. 3. Use the Web to find out some of the specific capabilities of Cognos 8 BI. Some of the specific capabilities of Cognos 8 Bi are reporting, analysis, dashboarding and scorecards on a single, service-oriented architecture (SOA). When it comes to reporting, Cognos 8 Bi provides you with access to the information you need to make smarter business decisions. In analysis, Cognos
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providing statistical analysis, graphical representations and access to important data. With the use of dashboards, users at every level can easily access summaries of important information. BI software can combine data from separate warehouses and databases to help managers make better business decisions. With all the information centralized, managers save time when accessing other divisions’ databases. BI uses data mining to automatically sort through large pools of data to determine trends and
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Data Mining with R: learning by case studies Luis Torgo LIACC-FEP, University of Porto R. Campo Alegre, 823 - 4150 Porto, Portugal email: ltorgo@liacc.up.pt http://www.liacc.up.pt/∼ltorgo May 22, 2003 Preface The main goal of this book is to introduce the reader to the use of R as a tool for performing data mining. R is a freely downloadable1 language and environment for statistical computing and graphics. Its capabilities and the large set of available packages make this tool an excellent
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• Gather and analyze the appropriate data • Prepare the forecast • Monitor the forecast Types of Forecasts • Qualitative o Judgment and opinion o Sales force o Consumer surveys o Delphi technique • Quantitative o Regression and Correlation (associative) o Time series Forecasts Based on Time Series Data • What is Time Series? • Components (behavior) of Time Series data o Trend o Cycle
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