1.2 News data ’ 1.2.1 Data sources 1.2.2 Pre-analysis’of news data 1.3 Turning qualitative text into quantified metrics and time-series 1.4 Models and applications 1.4.1 Information flow and computational architecture 1.4.2 Trading and fund management ‚ 1.4.3 Monitoring risk and risk control 1.4.4 Desirable industry applications 1.5 Summary and discussions l.A Appendix: Structure and content of news data l.A.l Details of Thomson Reuters News Analytics equity coverage and available data l.A.2 Details
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the collection of data‚ both primary and secondary Primary sources: survey methodology; questionnaire design; sample frame; sampling methods; sample error Secondary sources: internet research; government and other published data; by-product data Storage: security of information; data protection issues; ethical issues 2 Understand a range of techniques to analyse data effectively for business purposes Representative values: mean‚ median‚ mode; calculation from raw data and frequency distributions
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future fears of the victims‚ as presented by the actual victims. The reader is able to garner the essence of the experience from the findings section of this article. Further‚ the readers are able to see that the theme of fear and safety I true to the data that is presented throughout this article They provide numbers for the reader to see how fear and safety were a common theme throughout all twenty-one narratives. The authors do not go into great discussion regarding existing literature on the topic
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guideline that I will be following for each article that includes identifying and examining the data collection and data analysis methodologies used in each study. The names of the articles are The Experience of Patients Undergoing Awake Craniotomy and The Effects of Crossed Leg Blood Pressure Measurement. The references will also be reviewed to determine validity and relationship to the new study. Data Collection Quantitative Study: The operational and conceptual definition is congruent. The key
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1.Introduction The previous research paper was based on an analysis of how hip-hop music videos portrayed violence. It was a qualitative research paper as different aspects of violence were explored and explained in great detail in relation to the every day lives of hip-hop and non hip-hop fans. The paper also explained what brought Hip-hop about and what it was created to fulfill in the music industry. American RnB and Hip-hop artist Rihanna‚ was used as an example throughout the research paper
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well known ARIMA model to analyze and forecast time series. The model is applied to time series consisting of day-ahead electricity prices from EPEX power exchange. II. CROSS INDUSTRY STANDARD PROCESS FOR DATA MINING CRISP-DM is a commonly used standard that describes a life cycle of a data mining process 3 . The life cycle consists of six phases‚ as shown in Fig.1. I. INTRODUCTION Electricity is among the most volatile of commodities. Daily average change of the spot electricity price can be
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2 1.1 create a plan for the collection of primary and secondary data for a given business problem 2 1.2 present the survey methodology and sampling frame used 4 1.3 design a questionnaire for a given business problem 6 2.1 create information for decision making by summarising data using representative values 7 2.2 analyse the data to draw valid conclusions in a business context 10 2.3 analyse data using measures of dispersion to inform a given business scenario
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is the lack of strategy; the right plan to continue and develop. This research aims to explore appropriate strategies for SMEs in Saudi Arabia to enable them to stay in business and grow. The research applies qualitative research methods to gather data and use documentary sources. Key words: Small and medium enterprises‚ strategy‚ Saudi Arabia. 1.0- Introduction: Small and medium enterprises (SMEs) are considered a key component of the economy in many different countries around the world
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assists a business to handle important function of a data type and provide appropriate data analysis methods is an essential tool of management. Their user-friendliness and flexibility has made database software crucial business component (Ambler‚ 2012). Database software store data as a series of records each holding data for a single entity such as a thing‚ person‚ event‚ or place. Data in software is held in fields each holding a single item of data appropriate to a record. Most of the modern database
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apply this method to lots of fields such as banking data analysis‚ investment forecasting‚ inventory controlling and so on. This paper shows us a practical banking credit card example using Holt-Winter method in Java programming for data forecasting. The reason we use Holt-Winter is that this method is simple while generally works well in practice‚ and is particularly suitable for producing short-term forecasts for sales or demand time-series data. Theorem Xt(1)= Lt+ Tt+ It-p+1 Xt(h)= Lt+ hTt+
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