Mining method
BANKRUPTCY PREDICTION OF FIRMS USING THE DATA MINING METHOD
... data mining method, 89 companies listed in Iranian Stock Exchange were chosen as samples for this study and the required data were estimated and extracted for a seven-year period ...data mining ...
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Locating previously unknown patterns in data-mining results: a dual data- and knowledge-mining method
... database mining with a relevant ...This method for the discovery of novel and interesting patterns is based on comparing the strength of patterns mined from a clinical database with the strength of the ...
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Design an Appropriate Mining Method for Extraction of Ore between 330ml and 400ml at Baluba East Upper T-Block
... final mining method, three steps were ...the mining methods based on ore-body characteristics using the University of British Columbia (UBC) online method section ...UNZA mining ...
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An Algorithm for Predictive Data Mining Method in Medical Diagnosis
... [14] As indicated by machine learning is to assemble PC frameworks that can adjust and gain from their experience. It is the area of research and as of late it has created in restorative space. The area is consequently ...
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Improved Community Mining Method Based on LFM and EAGLE
... Bottlenose dolphin network [35] is also a commonly used benchmark network to test the communities mining algorithm. This benchmark network represents the associations between 62 dolphins living in Doubtful Sound, ...
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A Comparative Review on Data Mining With Text Mining
... Text Mining is a process of deriving high quality information from ...text mining like- Text Classification, Opinion Mining, Text Clustering, and Document Summarization ...Text mining is that ...
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Finding the Most Frequent Dropout Reasons Using Interestingness Measure
... data mining to find the interesting relation association rule mining is applied on the ...data mining method is used for identifying the dominating dropout factor among the student of ...
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Preserving the Privacy and Sharing the Data Using Classification on Perturbed Data
... novel method to preserve the privacy by perturbing the original data using randomized data perturbation privacy preserving data mining technique and then constructing a decision tree classifier on the ...
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A Novel Threat Detection Method for Platform Security Enhancement
... alarm mining method based on Choquet integral to crowd together and class the frequently occurred ...sample mining algorithm to mine correspondence rules and then filter false ...calculation ...
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The ClearPath Method for Care Pathway Process Mining and Simulation
... Process mining of routine electronic healthcare records can help in- form the management of care ...process mining with simu- lation creates a rich set of tools for care pathway ...cess mining ...
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Big Data Clustering: A Comparative Study On Various Clustering Algorithms
... To deal with the developing requests of information, we should develop or grow the boundary and execution of devices and techniques. Massive information or Data involves new resolutions for increase the limit and ...
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Artificial Neural Network Based Data Mining
... Data mining is the process of analyzing hidden patterns of data according to different perspectives, for categorization into useful ...Data mining tools predict future trends and behaviors, thus allowing ...
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Discovery of Frequently Occurring Approximate sub sequences with distance
... data mining is process of extracting knowledge from large ...Data mining is also referred as knowledge discovery from data or ...pattern mining and each algorithm is having different ...on ...
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Literature Review on Interestingness Based Data Mining for Business Development
... Rule mining is one of the popular data mining technique, which finds correlation between the data items present in the ...Rule mining Algorithm finds frequent itemsets based on some statistical ...
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Mining the Sentiment Expectation of Nouns Using Bootstrapping Method
... There has been a large body of work on automatic SO prediction of words (Hatzivassiloglou and McK- eown, 1997; Turney and Littman, 2003; Kim and Hovy, 2004; Esuli and Sebastiani, 2006), but un- fortunately they did not ...
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An Efficient Method for Frequent Itemset Mining on Temporal Data
... itemset mining (FIM) is a data mining idea with extracting frequent itemset from a ...itemset mining with time cube is proposed to manage time arranges in the mining ...
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A comprehensive review on privacy preserving data mining
... Data Mining (DPPDM) depending on different underlying ...each method by developing and analyzing a symmetric-key based privacy-preserving scheme to support mining ...data mining on cloud ...
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Hash Algorithm for Finding Associations between Genes
... identifications in Software Engineering field, Marketing, and Financial Analysis etc. Both positive and negative rule mining is done, because sometimes the rarest occurring element becomes more important than the ...
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Research on experiment of in situ pyrolysis of oil shale and production analysis
... attention. Method of retorting was not applicable for oil shale resources in ...new method for in-situ oil shale mining was very necessary. The method of high voltage with power frequency ...
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Model Design for AMT Data Inversion
... As general geophysical exploration data process, there are mainly three steps to process AMT data. The first step is to convert each station’s time serial data to the frequency domain before calculating the cross power ...
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