University. After she graduated she began working for a textile company and shortly after became a freelance designer. In 1973‚ she established her own company Comme des Garcons Co. Ltd and opened a boutique. At first it was clothing only for women but three years later she added men’s line. It became very successful in Japan and in 1980 Comme des Garcons had its own show in Paris‚ France and immediately attracted public by its predominant use of black and distressed fabrics. Comme des Garcons specializes
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SY 15870 TY 15050 * Subject to revision of fees as per the directives from Director of Higher Education and University of Mumbai. Duration A) The Course shall be a full time course. The duration of the course shall be six semesters spread over three years. B) Number of Students: A batch shall consist of not more than 60 students. C) The course shall consist of 40 modules comprising of 38 theory papers and projects. Scheme of Modules First Year 1.1 1.2 1.3 1.4 1.5 1.6 1.7 First Semister
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Street Hockey Street hockey is a game that requires strength‚ energy‚ stickhandling skill‚ accuracy‚ and sportsmanship. The goal of the game is to shoot the hockey puck into the opponents’ net. The game is started by a face-off. There are two types of face-offs: the standard face-off and the stick-to-stick face-off. The standard face-off is when the opponents face each other in the center‚ and the referee drops the puck in the middle to begin the game. The stick-to-stick face-off is when two opponents
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DATA INTEGRATION Data integration involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations‚ which include both commercial (when two similar companies need to merge their databases and scientific (combining research results from different bioinformatics repositories‚ for example) domains. Data integration appears with increasing frequency as the volume and the need to share existing data explodes
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DATA COMMUNICATION & NETWROKING COMP 310 ASSIGNMENT #2 ST.GEORGE’S UNIVERSITY LEOPOLDO PIRELA DUE DATE: SEPTEMBER 21ST‚ 2013 What is the phase shift for the following? a. A sine wave with the maximum amplitude at time zero b. A sine wave with maximum amplitude after 1/4 cycle c. A sine wave with zero amplitude after 3/4 cycle and increasing Solution: a. There is no phase shift at time zero b. (¼) 360 = 90 90 x 2π / 360 = 1.57 rad c. (¾) 360 = 270 270 x 2π / 360 = 4. 7 rad
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Data Mining On Medical Domain Smita Malik‚ Karishma Naik‚ Archa Ghodge‚ Shivani Gaunker Shree Rayeshwar Institute of Engineering & Information Technology Shiroda‚ Goa‚ India. Smilemalik777@gmail.com; naikkarishma39@gmail.com; archaghodge@gmail.com; shivanigaunker@gmail.com Abstract-The successful application of data mining in highly visible fields like retail‚ marketing & e-business have led to the popularity of its use in knowledge discovery in databases (KDD) in other industries
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billion bytes of data in digital form be it on social media‚ blogs‚ purchase transaction record‚ purchasing pattern of middle class families‚ amount of waste generated in a city‚ no. of road accidents on a particular highways‚ data generated by meteorological department etc. This huge size of data generated is known as big data. Generally managers use data to arrive at decision. Marketers use data analytics to determine customer preferences and their purchasing pattern. Big data has tremendous potential
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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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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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Activity 1 Reasons why organisations need to collect HR Data. It is important for organisations to collect and retain HR data as this will be key for strategic and HR planning. It will also help to have all the information necessary to make informed decisions‚ for the formulation and implementation of employment policies and procedures‚ to monitor fair and consistent treatment of staff‚ to contribute to National Statistics and to comply with statutory requirements. The key organisational
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