University CS 450 Data Mining‚ Fall 2014 Take-Home Test N#1 Date: September 22nd‚ 2014 Final deadline for submission September 29th‚ 2014 Weighting: 5% Total number of points: 100 Instructions: 1. Attempt all questions. 2. This is an individual test. No collaboration is permitted for assessment items. All submitted materials must be a result of your own work. Part I Question 1 [20 points] Discuss whether or not each of the following activities is a data mining task.
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There is a number of reasons why we‚ as an HR team‚ collect different types of data. One of them is meeting legal requirements. In order to satisfy legal obligations we collect such information as contractual arrangements‚ employees’ duties‚ privileges‚ salaries‚ working hours‚ vacation accruals‚ bonuses‚ as well as documents relating to health and safety. The Russian Labor Inspection can check any data regarding individual employees and it is important for the organization to timely provide accurate
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Introduction to Data Mining Assignment 1 Ex1.1 what is data mining? (a) Is it another hype? Data mining is Knowledge extraction from data this need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. So‚ data mining definitely is not another hype it can be viewed as the result of the natural evolution of information technology. (b) Is it a simple transformation of technology developed
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to (Cresswell 2008) research is a procedure that poses an order of steps to be followed so as to accumulate and examine in detail every information and as a consequense achieve the main objective of the research which is to persue knowledge on a particular topic or issue. There are two dominant kinds of carrying out a research qualitative research and quantitative research(Cresswell 2007).Qualitative research is mostly interested in human nature‚ whereas quantitative research is more scientific. The
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descriptive as possible. One of the tools used was a meter In poetry‚ meter is the basic rhythmic structure of a verse or lines in verse. Many traditional verse forms prescribe a specific verse metre‚ or a certain set of metres alternating in a particular order. They also used Repetition of a sound‚ syllable‚ word‚ phrase‚ line‚ stanza‚ or metrical pattern which is a basic unifying device in all poetry the writer is usually trying to express an emotion or a phrase. The poem also consisted of personification
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business intelligence‚ data warehouse‚ data mining‚ text and web mining‚ and knowledge management. Justify and synthesis your answers/viewpoints with examples (e.g. eBay case) and findings from literature/articles. To understand the relationships between these terms‚ definition of each term should be illustrated. Firstly‚ business intelligence (BI) in most resource has been defined as a broad term that combines many tools and technologies‚ used to extract useful meaning of enterprise data in order to help
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Q) What are Secondary Data? Secondary Data Secondary data is information gathered for purposes other than the completion of a research project. Data previously collected by someone else‚ possibly for some other purpose that can be used later for making decisions if found suitable for the purpose‚ other than the original one. Secondary data can be acquired from the internal records of the organization‚ their departments‚ subsidiaries or sister organizations and also from external sources‚ such
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defending a firm’s product position. "The main reason why companies must continually develop new products is because products have life cycle"‚ (Bittel‚ 1980). Just as operation managers must be prepared to develop new products‚ they must also be prepared to develop strategies for both new and existing products. First and foremost‚ before proceeding into the product life cycle strategies‚ lets define what a product life cycle is. According to Griffin and Ebert (2002)‚ a product life cycle is a series
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Question 1. Explain Non Probability sampling methods. Give one example of each. Non-probability sampling Non-probability sampling is that sampling procedure which does not afford any basis for estimating the probability that each item in the population has of being included in the sample. In this type of sampling‚ items for the sample are selected deliberately by the researcher; his choice concerning the items remains supreme. Non-Probability Sampling Methods: The common feature in non probability
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Collecting‚ Reviewing‚ and Analyzing Secondary Data WHAT IS SECONDARY DATA REVIEW AND ANALYSIS? Secondary data analysis can be literally defined as second-hand analysis. It is the analysis of data or information that was either gathered by someone else (e.g.‚ researchers‚ institutions‚ other NGOs‚ etc.) or for some other purpose than the one currently being considered‚ or often a combination of the two (Cnossen 1997). If secondary research and data analysis is undertaken with care and diligence
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