[PDF] Top 20 A Survey of Classification Techniques in Data Mining
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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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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
5
A comparative analysis of classifiers in cancer prediction using multiple data mining techniques
... decade, in light of dramatic developments in analytical medicine tools for automated data collection, exponentially increasing amounts of data have been generated and stored ... See full document
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A Two Step Data Mining Approach for Amharic Text Classification
... process. In the past few years, researchers have investigated various forms of semi-supervised learning to reduce the burden of manual ...labeling. In this paper is aimed to show as the ... 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
4
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
12
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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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
5
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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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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DATA, TEXT, AND WEB MINING FOR BUSINESS INTELLIGENCE: A SURVEY
... associations, classification, and sequential ...characteristics of WM is found in [26]. The authors relate the development of the soft computing, which is a set of methodologies to ... 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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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
4
A Survey Paper on Crime Prediction Technique Using Data Mining
... type of demographical model) that represents a set of random variables and their conditional dependencies via a directed acyclic ...nodes in the Bayesian sense: they may be perceptible quantities, ... 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
9
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
8
A Recent Review on XML data mining and FFP
... rule mining is a process of mining data as a set of rules from a transactional database which support the minimum support and ...for mining association rules from relational ... See full document
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HIDING SENSITIVE ASSOCIATION RULE USING HEURISTIC APPROACH
... Data mining represents a wide range of tools and techniques to extract useful information which can contain sensitive information from a large collection of ...data. Data ... See full document
7
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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