"Data mining techniques in fraud" Essays and Research Papers

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    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 warehouse

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    Abstract Data mining is one of the most important tools for analyzing information from large databases. The retail industry has recently seen the growing number of data mining applications in reducing time and cost for the industry. The paper defines data mining and the seven operations of data mining that have been classified through many different literatures. It then focus on the important applications of data mining in retail industry including marketing‚ customer relationship management‚ risk

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    Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty Seyed Mohammad Seyed Hosseini *‚ Anahita Maleki‚ Mohammad Reza Gholamian Industrial Engineering Department‚ Iran University of Science and Technology‚ Tehran‚ Iran a r t i c l e i n f o a b s t r a c t Data mining (DM) methodology has a tremendous contribution for researchers to extract the hidden knowledge and information which have been inherited in the data used by researchers. This

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    Programme – Term IV – AY 20012-13 Business Intelligence And Data Mining Group Assignment on NGO Donations Maximization Abstract The problem is associated to devising a strategy to maximize the profits from a Direct Marketing Campaign to a selected group of customers while minimizing costs . The exercise requires the use of Business Intelligence tools and techniques to build a model ‚ trained and tested on the historical data for the last year’s donation raising campaign . From this

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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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    How Data MiningData Warehousing and On-line Transactional Databases are helping solve the Data Management predicament. Robert Bialczak Walden University How Data MiningData 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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    Environmental studies assignment Ques 1: Mining Mining is the extraction of valuable minerals or other geological materials from the earth. Ores recovered by mining include metals‚ coal‚ oil shale‚ gemstones‚ limestone‚ dimension stone‚ rock salt‚ potash‚ gravel‚ and clay. Mining is required to obtain any material that cannot be grown through agricultural processes‚ or created artificiallyin a laboratory or factory. Mining in a wider sense includes extraction of any non-renewable resource such as petroleum

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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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    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 of the data presented on

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    Why Data Mining can Aid HealthCare? Before talking about that why Data Mining can Aid Healthcare‚ there is a need to define that What is Data Mining‚ Why It is useful and Why it is required. What is Data Mining? Data Mining is the method of searching data from a large database. Data Mining is a technique that is used when we have a large database which is to be searched by applying some methods of searching. It is a technique that is applied when we have a concept of Data Warehouse. Data Warehouse

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