[PDF] Top 20 Survey of Classification Techniques in Data Mining
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Survey of Classification Techniques in Data Mining
... axis of one variable and parallel to all other ...the classification accuracy of the decision trees by constructing new binary features with logical operators such as conjunction, negation, and ... See full document
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A Survey of Classification Techniques in Data Mining
... Data mining involves the use of sophisticated data analysis tools to discover previously unknown, valid patterns and relationships in large data ...Consequently, data ... See full document
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An Electronic Market Space Architecture Based On Intelligent Agents And Data Mining Technologies
... the data mining agent. These actions are: data cleaning, data integra- tion, transformation and pattern ...by data mining will be path analysis and clusters and ... See full document
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A Two Step Data Mining Approach for Amharic Text Classification
... and data mining research communities. The basic idea of a classification algorithm is to construct a classifier according to a given training ...value(s) of unknown test data ... See full document
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DATA, TEXT, AND WEB MINING FOR BUSINESS INTELLIGENCE: A SURVEY
... on mining software solutions. Mining tools are now an integral part of enterprise decision-making and risk ...through mining is referred to as Business Intelligence ...use of ... See full document
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Prediction of users’ future requests using neural network
... consist of two phases: offline pattern extraction and online recommendation (Li & Zaiane, ...2004). In offline recommendation phase, the web usage mining techniques are applied to reveal ... See full document
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CLASSIFICATION ALGORITHMS FOR BIG DATA ANALYSIS, A MAP REDUCE APPROACH
... accuracy of different classification methods, and major achievements have been made so ...amount of data that is being generated every day by remote sensors raises more challenges to be ... See full document
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A comparative analysis of classifiers in cancer prediction using multiple data mining techniques
... relevance of the problem at hands, we chose to include six modelling algorithms which have proven effectively in past studies, with the most recent performing better for our case, namely the neural network ... See full document
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Use of Data Mining Techniques to Detect Medical Fraud in Health Insurance
... scope of an occupational accident. Owing to the difficulty in deciding which accidents can be deemed as occupational accidents, disputes have been caused in practices and in the academic ... See full document
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Functional Link Artificial Neural Network for Classification Task in Data Mining
... Raw data is rarely of direct ...the data source. In most domains, data analysis was traditionally a manual ...the data and with the help of statistical techniques, ... See full document
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Classifying and Identifying of Threats in E-mails - Using Data Mining Techniques
... Applicability in these datasets with existing classification techniques was limited because the large number of features makes most documents ...analysis techniques, such as the ... See full document
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Analytical Customer Relationship Management in Retailing Supported by Data Mining Techniques
... scanner data of a large Belgian do-it-yourself (DIY) retail ...effect of various marketing activities on customers lifetime ...developed in the telecommunications industry ...problem of ... See full document
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A Survey Paper on Crime Prediction Technique Using Data Mining
... percentage of the data and a predefined level of crime rate, we select a subset of the crime dataset to label; and then based on the predefined level of crime rate, specify a class ... See full document
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The role of business intelligence in decision process modeling
... Data mining is the research and analysis of large amounts of data with the aim to reveal signii cant patterns and ...rules. In order to increase productivity of modern ... See full document
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Analysis of Bayes, Neural Network and Tree Classifier of Classification Technique in Data Mining using WEKA
... neuron in each layer is connected to every neuron in the adjacent ...analysis of multi-layer perceptrons has been presented by Hassoun [11] and by ... See full document
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Data Mining and Neural Network Techniques in Stock Market Prediction : A Methodological Review
... Data mining is a method of extracting unknown projecting information from large databases which is a widespread technology that helps organizations to focus on the most important information ... See full document
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A review on the book, Self-organization: Theories and Methods
... 2013). Classification is a data mining functionality that assigns instances in a collection to target ...goal of classification is to accurately predict the target class for an ... See full document
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Object-oriented classification in association with accumulated reflectance and data mining tools
... objective of this work was to use the accumulated reflectance technique and data mining application, followed by object-oriented classification, in images of Operational Land ... See full document
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Association Technique based on Classification for Classifying Microcalcification and Mass in Mammogram
... used data mining technique to analysis ...use data mining approach to classify can be found in [11, ...Most of them classify a mammogram into benign or malign, and the candidate ... See full document
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DATA MINING TECHNIQUES FOR SEPARATION OF SUMMER CROP BASED ON SATELLITE IMAGES
... extraction of spectral-temporal profile values for each culture was made in software ArcGIS ...Cycle of Culture (CC), Base Value of EVI (BASE EVI ), Date of Maximum Vegetative ... See full document
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