Alternative Fuels – Data By: Denise Claire Tan Yet Nee Structure and physical properties of Molecules Nowadays‚ there are a lot of alternative fuels which have discovered by human beings in order to replace the depleting non-renewable fossil fuels supply. In fact‚ organic chemistry has successfully proved that organic compounds can be served substitution of fossil fuel supply. The structure and physical properties of organic molecules are characteristics that aid them to become useful fuels
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Data analysis Results We interviewed 50 students of the school in order to complete the survey. As we can observe in the chart below‚ 44% of them were female and 56% male. We have a balanced proportion between both genders in our sample. That enable this survey to be more representative of the target market we choose to analyse. Gender 44% 56% male femal e General perception of Nano Thanks to
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Case Study on Absenteeism Submitted To: Mr. Srinivas Rao Associate Professor – Fashion Management Studies. NIFT‚ Hyderabad. Submitted By: Mr. Sebastian James 1st Semester Student – Fashion Management Studies (2011-2013). NIFT‚ Hyderabad. SUMMARY OF THE CASE STUDY Unique Schweppes
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CRIME DATA COMPARISON Crime Data Comparison Paper By Juanidel Cubero In this paper I will compare the robbery rate between two metropolitan cities which are Dallas Texas and San Diego California using the preliminary annual Uniform Crime Report (UCR) generated by the Federal Bureau of investigation (FBI) from January to December 2008. The Uniform Crime Reporting Program (UCR) defines robbery as the taking or attempting to take anything of value from the care‚ custody‚ or control of a
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Data Dictionary: A software module and database containing descriptions and definitions concerning the structure‚ data elements‚interrelationships‚ and other characteristics of an organization’s databases. Data Mining: A process where data in a data warehouse is identified to discover key business trends and factors. Data Modeling: A process where the relationships between data elements are identified and defined to develop data models. Data Planning: A planning and analysis function
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1 Define data mining. Why are there many different names and definitions for data mining? Data mining is the process through which previously unknown patterns in data were discovered. Another definition would be “a process that uses statistical‚ mathematical‚ artificial intelligence‚ and machine learning techniques to extract and identify useful information and subsequent knowledge from large databases.” This includes most types of automated data analysis. A third definition: Data mining is the
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65. The quartiles for the class were 30‚ 34 and 42 respectively. Outliers are defined to be any values outside the limits of 1.5(Q3 – Q1) below the lower quartile or above the upper quartile. On graph paper draw a box plot to represent these data‚ indicating clearly any outliers. (7) Jan 2001 2) The random variable X is normally distributed with mean 177.0 and standard deviation 6.4. (a)
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Using Data Flow Diagrams Data flow diagram is used by system analyst to put together a graphical representation of data processes throughout the organization. It depicts the broadest possible overview of system inputs‚ processes‚ and outputs. A series of layered data flow diagrams may be used to represent and analyze detailed procedures in the larger system. By using combinations of only four symbols‚ the system analyst can create a pictorial depiction of processes that will eventually provide
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The Enterprise Data Model Introduction An Enterprise Data Model is an integrated view of the data produced and consumed across an entire organization. It incorporates an appropriate industry perspective. An Enterprise Data Model (EDM) represents a single integrated definition of data‚ unbiased of any system or application. It is independent of "how" the data is physically sourced‚ stored‚ processed or accessed. The model unites‚ formalizes and represents the things important to an organization
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DATA LEAKAGE DETECTION . Abstract - If a distributor has given sensitive data to a set of supposedly trusted agents (third parties) and if some of the data is leaked and found in an unauthorized place‚ the distributor must assess the likelihood that the leaked data came from one or more agents‚ as opposed to having been independently gathered by other means. The techniques used improves the probability of identifying leakages and finding guilty agent. These methods do not
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