data mining framework
A data mining framework to analyze road accident data
... accident data is its heterogeneous nature ...the data otherwise, some relationship between the data may remain ...the data to reduce this heterogeneity using some measures such as expert ...
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A Proposed Data Mining Framework for Higher Education System
... student data classification [18]. The research work implement binary data classification, 5 levels data classification and a regression based analysis for predictive performance calculation of ...
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A Data Mining Framework for Prevention and Detection of Financial Statement Fraud
... and data mining techniques had been used by number of ...available data from the financial statements of various firms in order to detect FFS by using Data Mining classification ...
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KNOWLEDGE DISCOVERY AND DATA MINING FRAMEWORK AND ITS APPLICATIONS
... of data mining ...categorical data, However, classification trees may not be suitable for problems where the true decision boundaries between classes are described by a 2nd-order ...’universal’ ...
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PREDICTIVE DATA MINING FRAMEWORK FOR MEDICAL DATA
... predictive data, and present a framework which will work on the cross platform to show data classified ...of data mining, to find various selective features, classification techniques ...
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A framework for scientific data mining in hydro acoustic data sets
... as data handling and extraction of useful information is ...recorded data in one ...a data mining framework. Data mining is the procedure of analyzing and processing raw ...
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A framework for trend mining with application to medical data
... time-stamped data sets can therefore be identified by observing the change in the support values of items sets across the data ...Trend mining is a branch of DM that focuses on the process of ...
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Why only data mining? a pilot study on inadequacy and domination of data mining technology
... the data mining that it is the most commonly used method to extract data from different platforms and organize that data for the better use while implementing data mining, which ...
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Survey on Big Data Mining Algorithms
... tremendous data, resulting in big ...of data have been generated continuously at extraordinary and ever increasing ...Big Data is a new term used to identify the datasets that due to their large size ...
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A FRAMEWORK FOR DATA MINING USER NAVIGATION PATTERNS
... Next is the admin module. This module is very important in the project because in this module log files is created and calculate the links which set more target increase. In this module it has two sub modules. The first ...
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Data mining for business intelligence with data integration
... general, data integration of multiple information systems aims at combining selected systems so that they form a unified form a new system and give users the vision of interacting with one single information ...
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A Data Quality Framework for Process Mining of Electronic Health Record Data
... encompass data management in research using EHR data. This might include logging and auditing other elements of the Extract, Transform, Load process, multiple runs of the same experiment, user management ...
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A Phishing Detection Framework for Websites Based on Data Mining
... Web clients must know about all security tips which are given by specialists. Each client ought to likewise be prepared not to aimlessly pursue the connections to websites where they need to enter their delicate ...
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A framework for efficent association rule mining in XML data
... AR mining as follows: (a) AR mining often involves selecting data that are only relevant to the AR mining ...These data are usually only a fragment of the whole XML ...relevant ...
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A Framework for Analyzing the Road Accidents in Data Mining using Rule Mining
... to be more daring after drinking alcohol at night and this causes them to lose control of the car. Drunk driving will not only risk a person’s own life but may also cause an incident life to be lost. Number of factors ...
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From mineral mining to data mining: Understanding the global commodity chain of internet communications
... audience of prospective ‘clicks’ or ‘eyeballs’, leading to direct sales or increased brand awareness. This ‘audience’, unlike the traditional mass media, is produced by other ‘users’ posting updates, sharing links, and ...
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DISTRIBUTED FRAMEWORK FOR DATA MINING AS A SERVICE ON PRIVATE CLOUD
... From the given data set, the k-Means clustering algorithm reads some sample and computes the centroids of the cluster. Each mapper reads these centroids via a centroid server running on master node. Each reducer ...
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SPMF: A Java Open-Source Pattern Mining Library
... open-source data mining library offering implementations of more than 55 data mining ...algorithms, data sets, an active forum, a FAQ and a mailing ...
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Applied Data Mining Statistical Methods for Business and Industry Giudici P (2003) pdf
... with data, to determine its weights on the basis of the available data set, is not to find an exact representation of the training data, but to build a model that can be generalised or that allows us ...
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Data Mining Methods And Models Larose DT (2006) pdf
... We begin, as any simple linear regression should begin, with a scatter plot of the response variable against the predictor (Figure 2.19). Most of the data points are squished up against the left axis, due to the ...
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