Survey on Secure Data mining in Cloud Computing U.Venkateshwarlu #1 #1 M.Tech‚Computer Science and Engineering ‚ JNTUH Hyderabad‚ AP‚ INDIA 1 uvenkatesh905@gmail.com Puppala Priyanka *2 2 M.Tech‚Computer Science and Engineering ‚ JNTUH Hyderabad‚ AP‚ INDIA 2 priya.puppala9@gmail.com Abstract— Data mining techniques are very important in the cloud computing paradigm. The integration of data mining techniques with Cloud computing allows the users to extract useful information from a data
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common causes of Car Accidents? Car accidents can happen to drivers anytime anywhere. Every day in the United States about 115 people die in car accidents. The number of car accidents that occurs on a daily basis in massive because of many reasons. Impairment in this case is the main reason for car accidents but drivers distraction and traffic conditions are also influenced. The first reason for car accidents is impairment which causes accidents to happen. Many people
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Association Rule Mining using Apriori Algorithm Ghanshyam Verma‚ Shruthi Varadhan Computer Technology Department KITS-Ramtek‚ Nagpur-441106 gs.verma@live.com shruthivaradhan@gmail.com Abstract— Data mining is the process that results in the discovery of new patterns in large data sets. Data mining involves six common classes of tasks: Anomaly detection‚ Association Rule Mining‚ clustering‚ classification‚ regression and summarization. Association rule learning is a popular and well researched
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QATAR’S STRUGGLE TO REDUCE TRAFFIC ACCIDENTS Submitted To: Dr. Michael Long Date: January 25‚ 2006 Date: Sunday‚ January 25‚ 2006 To: Dr. Michael Long Instructor CM 2300: Report Writing Subject: Formal Report on Traffic Accidents in Qatar I am submitting the attached report‚ entitled Qatar’s Struggle to Reduce Traffic Accidents‚ in accordance with the requirements for the CM2300 Report Writing course. The
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A Report on Road Accidents - Role of Cell phones and Drunken Driving Submitted to Dr. Naval Bajpai Submitted by Arnab Roy Pousali Chakrabarti Shashank Badre Prateek Singh Section A Quantitative Techniques Indian Institute of Management Raipur
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Evaluation of Leading Causes for Road Accidents in Pengkalan Chepa‚ Kelantan CHAPTER 1 INTRODUCTION Road safety is a primary concern and goal of highway and traffic engineers worldwide. The road network in Pengkalan Chepa Kelantan exhibits relatively high traffic volumes particularly in rural areas. Kelantan is one of the state in terms of having higher numbers of road accidents leading to a relatively high number of fatalities and injuries. In the past few years in particular‚ the number
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for Preventing Road Accidents 1. Most important method to bring down accidents is strict enforcement of speed limits. 90 % of accidents can be avoided by strict enforcement of speed limits. 2. Heavy Penalty should be imposed on ALL those who cross speed limits. If this is strictly implemented‚ nobody will dare to go at high speed. 3. Existing speed limits should be brought down further. 4. Heavy penalty should be imposed for those who cause accidents. 5. Tamper proof
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EXECUTIVE SUMMARY The attached report analyzes the financial position of Semirara Mining Corporation. Semirara Mining Corporation is a publicly-listed mining company and a subsidiary of the DMCI Holdings‚ Inc. The company is engage in the business of coal mining and coal production. As of now‚ Semirara Mining Corporation is the only large-scale coal producer in the Philippines and is engaged in surface open cut mining of thermal coal from its Panian mine on Semirara Island‚ in the Antique Province
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Using Web Mining Preeti Sharma & Sanjay Kumar NIT Raipur‚ Raipur‚ Chattishgarh‚ India E-mail: preeti.nitu@gmail.com & Skumar.IT@nitrr.ac.in Abstract - Customer satisfaction is the key secret of success for all industries regardless of whether it is web enabled or not. This paper focuses the role of web mining in achieving a viable edge in business. Web mining is becoming the tool for success for those who adopt electronic means of operation for conducting their business. Web mining is the
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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 exploration
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