The Advantages of Industrial Clusters in Prolonged Economic Recession Dr. Ninko Kostovski University American College Skopje Abstract Industrial clusters have various forms and in their essence‚ are very dynamic concepts. According to Porter‚ they are spatial concentrations of interrelated enterprises‚ suppliers‚ knowledge workers‚ universities and research and development institutions‚ that establishing and maintaining intense linkages between them‚ create their competitive
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his health. 5. Answer: 3‚ 4. In answer 3 the nurse fails to validate her assessment findings of edema‚ either by using a scale to measure the severity or by asking a colleague to validate her findings. In answer 4 the nurse prematurely closes clustering‚ which can lead to an inaccurate diagnosis. In answer 1 the nurse validates findings to make an accurate diagnosis. In answer 2 the nurse interprets cue clusters to make an accurate diagnosis. 6. Answer: 4. In this example intestinal colitis
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PARTITIONING ALGORITHM”‚ Journal of Theoretical and Applied Information Technology [12] Kobra Etminani‚ Mohammad-R. Akbarzadeh-T.‚ Noorali Raeeji Yanehsari‚ “Web Usage Mining: users ’ navigational patterns extraction from web logs using Ant-based Clustering Method”‚ IFSA-EUSFLAT 2009 [13] Sandeep Singh Rawat‚ Lakshmi Rajamani‚ “DISCOVERING POTENTIAL USER BROWSING BEHAVIORS USING CUSTOM-BUILT APRIORI ALGORITHM”‚ International journal of computer science & information Technology (IJCSIT) Vol.2‚ No.4
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store layout. 2. Motivation In America‚ there are some research papers[2] about applying clustering technique on America financial market. For example‚ using Self-organizing map(SOM) to cluster stocks and financial ratio for fundamental analysis‚ using SOM to find the valuable stock. These all researches want to find the characteristic of the stocks. However‚ most these researches use SOM clustering technique‚ and focus on America financial market. It seems that few researches do similar thing
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‘FREE AND UNRESTRICTED GLOBAL TRADE BENEFITS THE MAJORITY OF THE WORLD’S POPULATION‚ REDUCING POVERTY AND IMPROVING HUMAN RIGHTS’ Free and unrestricted global trade permits economic freedom and independence‚ facilitates economic development and protects and promotes human rights and freedoms. Strategic co-operation among global firms facilitates the effective processing of novel business information‚ thereby enhancing innovation. A change in the perception of the costs and benefits of co-operation
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Problems Introduction Problem 1: Data-Based Decision Making Problem 2: Market Basket Analysis: Association Analysis Problem 3: Market Basket Analysis: Concept Tree/Sequence Analysis Problem 4: Decision Tree Problem 5: Clustering/Nearest Neighbor Classification Problem 6: Clustering Problem 1: Data-Based Decision Making Supermarket Product Placement Suppose that we are responsible for managing product placement within a local supermarket. Our shelving units have 6 shelves each and
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According to my class English 0320‚ it’s been a pleasure semester for me. My instructor was Mrs. Barnes. She is a great lady to have as my English professor. One thing is confirmed that when I came here I had zero knowledge about how to write an essay or any other things. I have learned several different things from in her English class. In my first week of this semester‚ it seem that it’s really was not helping me anything toward how write a formal essay. But‚ after few weeks later it was getting
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physically but also mentally? These are the questions that I ask myself on a daily basis as I approach towards graduate from college. There is several pre-writing strategy that this career-path can fall under such as using freewriting‚ brainstorming‚ clustering and journalistic techniques. Each of these strategies has different ways of trying to help someone in choosing the right way to write an essay that they are comfortable of using.
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Stoke-on-Trent‚ ST4 2DE‚ United Kingdom b a r t i c l e i n f o Available online 10 April 2010 Keywords: Lifestyle Clustering Risk factors Students ’ health United Kingdom Stress Physical activity Diet Drinking behaviour Smoking a b s t r a c t Objective. Unhealthy lifestyle behaviours have been identified as a problem amongst students. This present study investigated the prevalence and clustering of five lifestyle risk factors within a UK Higher Education (HE) institution during the period of April–May in
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neural networks‚ clustering‚ and decision trees. Neural networks look at the rules of using data‚ which are based on the connection found or on a sample set of data. As a result‚ the software continually analyses value and compares it to the other factors‚ and it compares these factors repeatedly until it finds patterns emerging. These patterns are known as rules. The software then looks for other patterns based on these rules or sends out an alarm when a trigger value is hit. Clustering divides data
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