What is a linear programming problem? Discuss the scope and role of linear programming in solving management problems. Discuss and describe the role of linear programming in managerial decision-making bringing out limitations‚ if any. 2. Explain the concept and computational steps of the simplex method for solving linear programming problems. How would you identify whether an optimal solution to a problem obtained using simplex algorithm is unique or not? a) What is the difference between a
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Data Mining Abdullah Alshawdhabi Coleman University Simply stated data mining refers to extracting or mining knowledge from large amounts of it. The term is actually a misnomer. Remember that the mining of gold from rocks or sand is referred to as gold mining rather than rock or sand mining. Thus‚ data mining should have been more appropriately named “knowledge mining from data‚” which is unfortunately somewhat long. Knowledge mining‚ a shorter term‚ may not
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HR Data 1) To comply with legislative and regulatory requirements – Organisations need to collect data in order to comply with regulations such as minimum wage‚ working time directive‚ health and safety and even health and safety. 2) Keeping training and performance records on employees enables management to assess individual productivity and performance and allows them to help the employee reach there full potential and in turn increase productivity. Two Types Of Data Collected
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Information Engineering EXERCISES Faium University Computers & Information Faculty EXERCISES 1 • Create an activity diagram and a set of use case descriptions for the process of buying glasses from the viewpoint of the patient. • The first step is to see an eye doctor who will give you a prescription. Once you have a prescription‚ you go to a glasses store‚ where you select your frames and place the order for your glasses. Once the glasses have been made‚ you return to the store for a fitting
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Case analysis-Harrington Collection Problem identification In 2008‚ Harrington Collection‚ a large manufacturer and retailer of U.S. high-end women’s apparel‚ was facing opportunities and challenges whether to launch of active-wear products to meet the market and customers’ needs. But according to the macroeconomic environment‚ the target market‚ competitors and its own financial condition‚ Harrington needed to take careful consideration and then make the best decision for their own
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make interpretation easier Advantages 1. They are easy and quick to use; 2. Little training required; 3. They can be used in the presence of the child or recorded later; 4. Helps to focus observations on many behaviors at once; 5. Can be used for curriculum planning; activities can be planned to encourage certain behaviors that have not yet been observed; 6. Can be used to condense information from running record or anecdotal records. Disadvantages 1. Not very detailed; 2. Little information
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DATA COMPRESSION The word data is in general used to mean the information in digital form on which computer programs operate‚ and compression means a process of removing redundancy in the data. By ’compressing data’‚ we actually mean deriving techniques or‚ more specifically‚ designing efficient algorithms to: * represent data in a less redundant fashion * remove the redundancy in data * Implement compression algorithms‚ including both compression and decompression. Data Compression
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BCSCCS 303 R03 DATA STRUCTURES (Common for CSE‚ IT and ICT) L T P CREDITS 3 1 0 4 UNIT - I (15 Periods) Pseudo code & Recursion: Introduction – Pseudo code – ADT – ADT model‚ implementations; Recursion – Designing recursive algorithms – Examples – GCD‚ factorial‚ fibonnaci‚ Prefix to Postfix conversion‚ Tower of Hanoi; General linear lists – operations‚ implementation‚ algorithms UNIT - II (15 Periods)
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Secondary data refers to the data which an investigator does not collect himself for his purpose rather he obtains them from some other source‚ agency or office. In other words‚ this data has already been collected by some other source and an investigator makes use of it for his purpose. Secondary data is different from primary data on the basis of the sources of their collection. The difference between the two is relative - data which is primary at one place become secondary at another place.
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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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