Accidents Due To Machinery Welcome to all Participants Trend of fatal Accidents in non -coal Mines Year Fatal Accidents 1998 61 2000 51 2002 52 2004 57 2005 48 2006 62 Accidents due to Machinery in Non – Coal Mines Year Fatal Accidents Due to Machinery 2001 71 33 2002 52 19 2003 52 21 2004 57 26 2005 48 23 2006 62 25 Causes of fatal Accidents due to Machinery‚non coal Mines in 2005 Transport machinery(winding)- nil Transport machinery(other
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How Data Mining‚ Data Warehousing and On-line Transactional Databases are helping solve the Data Management predicament. Robert Bialczak Walden University How Data Mining‚ Data Warehousing and On-line Transactional Databases are helping solve the Information Management predicament. Data in itself can be powerful‚ but also has many pitfalls if left to disparate databases and data collection routines. A collection of spreadsheets with account numbers entered into them can be view as a business
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A data mining approach to analysis and prediction of movie ratings M. Saraee‚ S. White & J. Eccleston University of Salford‚ England Abstract This paper details our analysis of the Internet Movie Database (IMDb)‚ a free‚ user-maintained‚ online resource of production details for over 390‚000 movies‚ television series and video games‚ which contains information such as title‚ genre‚ box-office taking‚ cast credits and user ’s ratings. We gather a series of interesting facts and relationships
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customers. It provided the tools and channels for its customers to receive money efficiently and to make payment in a timely fashion. In 2000‚ intense competition and the dot com boom put pressure on Citibank and its competitors to transform their business in the new economy. In response to these challenges‚ Citibank made a serious push to deliver integrated solutions that would enable its corporate customers to conduct transactions on-line. Citibank’s e-business strategy – Connect‚ Transform and Extend –
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Multiple Linear Regression Data Mining for Business Intelligence Shmueli‚ Patel & Bruce © Galit Shmueli and Peter Bruce 2010 Topics Explanatory vs. predictive modeling with regression Example: prices of Toyota Corollas Fitting a predictive model Assessing predictive accuracy Selecting a subset of predictors (variable selection) Explanatory Modeling Goal: Explain relationship between predictors (explanatory variables) and target Familiar use of regression in data analysis Multiple linear
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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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DESCRIPTIVE DATA MINING ON FRAUDULENT ONLINE DATING PROFILES Pan‚ Jinjian A.‚ The University of New South Wales‚ School of Information Systems Technology and Management‚ Sydney‚ NSW 2052‚ jinjian.pan@cba.com.au Winchester‚ Donald‚ The University of New South Wales‚ School of Information Systems Technology and Management‚ Sydney‚ NSW 2052 d.winchester@unsw.edu.au Land‚ Lesley‚ The University of New South Wales‚ School of Information Systems Technology and Management‚ Sydney‚ NSW 2052‚ l.land@unsw
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CASE “Citibank: Performance Evaluation” Harvard Business School 9-198-048 rev: October 14‚ 1999 The Performance Scorecard: a strategic management tool Frits Seegers‚ President of Citibank California‚ is convinced that “in a competitive marketplace where businesses compete for customers‚ customer satisfaction is seen as a key differentiator and increasingly has become a key element of business strategy”1. Fulfilling customers’ expectations is a critical issue for the long term business sustainability
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evaluation of performance of James McGaran‚ Branch Manager of Citibank in Los Angeles by his Area Manager‚ Lisa Johnson‚ and the discrepancies that crept in during the evaluation process. In the case‚ it can be seen how Lisa Johnson had failed to reflect some of the performances properly leading to a stalemate position in the performance evaluation of an efficient manager like James McGaran. James McGaran was a branch manager of Citibank in Los Angles and the branch he is handing is placed in one
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objectives of the case is that Citibank has aligned its new performance evaluation process to inculcate non financial measures in the performance evaluation and thereby highlighting the importance of diverse set of measures for evaluating performance it has been a year since the California division has introduced this change through a new performance scorecard and Citibank has to make sure that the change is communicated throughout the organisation. * The Citibank California division has to make
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