have a profound effect in my life. I decided to distribute my surveys to random people in my community who go to the main mall. Similar to thousands upon thousands of other communities‚ my community has an array of fast-food restaurants clustering around almost every corner. Businesses and homecooked restaurants have been replaced by the greasy smells of meat and french fries. Their cheap prices and promotions tempt all who walk by‚ their change clinging to their pockets. Their millions
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Tips for Drafting an Essay ( The Narrative/Descriptive Essay) 1. Begin brainstorming‚ clustering‚ and/or free writing to help you find or narrow a topic. 2. I actually like a free writing because I like to see words on a page. This is the actual beginning of a draft. Use free writing to help you figure out how much you have to say about your topic. Feel free to take parts of the free writing and elaborate on parts of your story. a. Example: if you are writing a physical story (racing in a car
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Knowledge-Based Visualization to Support Spatial Data Mining Gennady Andrienko and Natalia Andrienko GMD - German National Research Center for Information Technology Schloss Birlinghoven‚ Sankt-Augustin‚ D-53754 Germany gennady.andrienko@gmd.de http://allanon.gmd.de/and/ Abstract. Data mining methods are designed for revealing significant relationships and regularities in data collections. Regarding spatially referenced data‚ analysis by means of data mining can be aptly complemented by visual
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alternative jobs. The contract labourers appointed by the tourism industry did not have job security and were terminated at any time without assigning any reason. Although these workers are eligible for minimum wages‚ they are paid at much lower rates.The clustering of the resorts on the banks of Vembanad Kayal denied access to local people involved in fishing and shell collection to the kayal. The increased number of speedboats‚ motor boats and house boats plying as part of the tourism development has resulted
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FINAL YEAR PROJECT INTERIM REPORT COMPUTATIONALLY ASSESSING THE VISUAL QUALITY OF A WEB PAGE (A3147-121) Supervised by Submitted by : Prof. Wang Gang : Aparna Janardhanan Nambiar U0920595J IEM/4 TABLE OF CONTENTS Table of Figures ................................................................................................................................................................. 2 Abstract ..................................................................................
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ANFIS: Adaptive Neuro-Fuzzy Inference Systems Adriano Cruz Mestrado NCE‚ IM‚ UFRJ Logica Nebulosa – p. 1/3 Summary • • • • • Introduction ANFIS Architecture Hybrid Learning Algorithm ANFIS as a Universal Approximatior Simulation Examples Logica Nebulosa – p. 2/3 Introduction • • • • ANFIS: Artificial Neuro-Fuzzy Inference Systems ANFIS are a class of adaptive networks that are funcionally equivalent to fuzzy inference systems. ANFIS represent Sugeno e Tsukamoto fuzzy models
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groups- professional‚ social or lifestyle Aspirant groups- (realistic or otherwise) Dissociative groups- Aversion to group or to associated products/lifestyles Segmentation • • • • • Geographic- Nation & Region Demographic – Age‚ Sex‚ Class Geodemographic- HousingArea Psychographic -Lifestyle Behaviour – Product Usage‚ Benefits sought‚ Usage Rate‚ Loyalty Family Life-cycle (Demographic segments) • • • • • • • • • Single Newly Married Full nest 1– Children 0-6 Full nest 2 – Children 6+ Full nest
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B.Tech. Computer Science & Engg. List of Electives Elective-II S.No. Paper Code 1. TCS 021 2. TCS 022 3. TCS 023 4. TIT 701 Elective-III 1. TCS 031 2. TCS 032 3. TCS 033 4. TCS 034 Elective-IV 1. TCS 041 2. TCS 042 3. TCS 043 4. TCS 044 Elective-V 1. TCS 051 2. TCS 052 3. TCS 053 4. TCS 054 Paper Name Computational Geometry Computational Complexity Parallel Algorithms Cryptography & Network Security Data Mining & Data Warehousing Distributed Database Bioinformatics Data Compression Real
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www.elsevier.com/locate/atoures Annals of Tourism Research‚ Vol. 32‚ No. 1‚ pp. 93–111‚ 2005 Ó 2005 Elsevier Ltd. All rights reserved. Printed in Great Britain 0160-7383/$30.00 doi:10.1016/j.annals.2004.05.001 MARKET SEGMENTATION A Neural Network Application Jonathan Z. Bloom University of Stellenbosch‚ South Africa Abstract: The objective of the research is to consider a self-organizing neural network for segmenting the international tourist market to Cape Town‚ South Africa. A backpropagation
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Hardbite Chips Langara College School of Management MARK 1115 Introduction to Marketing D. Hill 23 November 2009 Executive Summary This report provides an analysis of Hardbite Chips and the Snack Food Industry and offers recommendations for Hardbite Chips to develop an effective marketing plan. Hardbite Chips is an environmentally sustainable business that provides healthy‚ good-tasting‚ and quality potato chips. The target
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