model and try apply the class survived or didn’t survive. If I apply a decision tree to the dataset as it is‚ I get a prediction rate of 78%. I will try various techniques throughout this report to increase the overall prediction rate. Data mining objectives: I would like to explore the pre conceived ideas I have about the sinking of the titanic‚ and prove if they are correct. Was there a majority of 3rd class passengers who died? What was the ratio of passengers who died‚ male or female
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3. DATA MINING TECHNIQUES 3.1 NECESSITY OF DATA MINIING DATA Data is numbers or text which is a statement of a fact. It is unprocessed and stored in database for further analysis. Operational and transaction data such as cost and sales‚ is essential to modern enterprise’s internal environment. Non-operational data such as competitors’ sales and forecasting data‚ is responsible for analysis of external environment. INFORMATION Information is generated through data mining so that it becomes
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Case Study - Applebee’s‚ Travelocity and others: Data Mining for Business Decisions. Q1. What is the business benefits of taking the time and effort required to create and operate data warehouses such as those described in the case? Do you see any disadvantages? Is there any reason why all companies shouldn’t use data warehousing technology? Ans: The business benefits of taking the time and effort required to create and operate data warehouses is to gather information in a rapid time so the business
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text mining? The main practical application of text mining in this case was CRM focused and dealt with the process of how HP employed SAS Text Miner to determine what its most valuable customers were discussing and then how to develop new customer service strategies based on the recurring themes extracted from text mining. In HP’s case they wanted to monitor public insights and opinions (i.e. review sites‚ blogs) and bring science to customer relationships. How do you think text mining techniques
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| | | | | Individual Project | Case studiesBlack Coal Mine IndustryCall Centres | | | | Introduction Black coal mining is a substantial contributor to the financial wealth of Australia; it is a well-established industry that boasts a history of collect bargaining‚ strong unions and memberships to establish the rules of work. Whilst the industry is at the mercy of product markets‚ supply and demands‚ it normally progresses through strong cycles which have had a large
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and a number of subsidiary enterprises. Potential coal reserves - 1986 mln tones. Layer thickness varies from 1 to 5‚3 meters. Today enterprises of CC Zarechnaya mine and wash Gas coal‚ Flame coal. In the short-term company is anticipated to start mining and concentrating Fat coal‚ Gas Fat coal. Coal Company Zarechnaya exports more than 85% of the end product. The consumers are: chemical-recovery‚ energy and other enterprises in more than 12 countries including Spain‚ The United Kingdom‚ the Netherlands
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producers produces at the minimum price on the average cost curve. Question 2 Productivity Many experts agree the largest issue facing in mining is productivity. With most of the easily-accessible high grade ores almost tapped out‚ companies are faced with the challenge of either mining low grade ore or mining in remote regions. In the case of low grade ore‚ miners must monitor the incoming material to maximize the extraction process and the waste material must be monitored just as closely
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1)illegal mining has been done for so many years.analyse the effect on humans and ecology.? Suggest the remedies? Ans-Environmental Damages of Mining Open pit mining Open pit mining‚ where material is excavated from an open pit‚ is one of the most common forms of mining for strategic minerals. This type of mining is particularly damaging to the environment because strategic minerals are often only available in small concentrations‚ which increases the amount of ore needed to be mined. Environmental
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Role Mining - Revealing Business Roles for Security Administration using Data Mining Technology Martin Kuhlmann Dalia Shohat SYSTOR Security Solutions GmbH Hermann-Heinrich-Gossen-Strasse 3 D 50858 Cologne [martin.kuhlmann|dalia.shohat] @systorsecurity.com Gerhard Schimpf SMF TEAM IT-Security Consulting Am Waldweg 23 D 75173 Pforzheim Gerhard.Schimpf@smfteam.de ABSTRACT In this paper we describe the work devising a new technique for role-finding to implement Role-Based Security Administration
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Mining Changes for Real-Life Applications Bing Liu‚ Wynne Hsu‚ Heng-Siew Han and Yiyuan Xia School of Computing National University of Singapore 3 Science Drive 2 Singapore 117543 {liub‚ whsu‚ xiayy}@comp.nus.edu.sg Abstract. Much of the data mining research has been focused on devising techniques to build accurate models and to discover rules from databases. Relatively little attention has been paid to mining changes in databases collected over time. For businesses‚ knowing what is changing and
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