Enterprise Miner
Data Mining Using SAS Enterprise Miner – A Case Study Approach
... Another important component of SAS Enterprise Miner 5.2 is the ability to score data. Scoring relates the predicted value to the actual value, and the closeness of one to the other can be examined using ...
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Decision Tree Induction & Clustering Techniques In SAS Enterprise Miner, SPSS Clementine, And IBM Intelligent Miner A Comparative Analysis
... SAS® Enterprise Miner, SPSS Clementine, and IBM DB2® Intelligent ...SAS® Enterprise Miner, SPSS Clementine, and IBM DB2® Intelligent Miner doesn‟t mean that they are the ...
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Customer Lifetime Value and it`s determination using the SAS Enterprise Miner and the SAS OROS-Software
... For each target variable, meaning the probability and the expected amount, I have created a data mining model with the use of SAS Enterprise Miner. With the help of this software it was possible to find out ...
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Data Mining Using SAS Enterprise Miner – A Case Study Approach
... Another important component of SAS Enterprise Miner 5.2 is the ability to score data. Scoring relates the predicted value to the actual value, and the closeness of one to the other can be examined using ...
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Enterprise Miner (EM) Intelligent Miner for Data (IM) Pattern Recognition Workbench (PRW)
... Intelligent Miner for Data has the advantage of being the current market leader, with a strong vendor offering well-regarded consulting ...SAS’s Enterprise Miner would especially enhance a ...
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Getting Started with SAS Enterprise Miner 7.1
... SAS Enterprise Miner builds a decision tree (in this case, potentially using surrogate splitting rules) with that variable as the target and the other input variables as ...
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The Basics of SAS Enterprise Miner 5.2
... There are a number of ways to explore a data set in SAS Enterprise Miner 5.2. The first is to click Explore (shown in the upper right-hand corner of Display 1.12). A second way is to select Explore from the ...
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Predicting Readmission of Diabetic Patients using the high performance Support Vector Machine algorithm of SAS Enterprise Miner
... Diabetes is a chronic condition affecting people of all ages and is prevalent in around 25.8 million people in the U.S. The objective of this research is to predict the probability of a diabetic patient being readmitted. ...
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Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner A Beginner s Guide
... The leadership team at DMR Publishing Company is interested in understanding the drivers of revenue within its business. It has gathered U.S. customer data for the past year that consists of revenues, numbers of ...
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The data mining process and SAS Enterprise Miner in Elisa Communications Corporation Jaana Järveläinen
... • As we think that quality through effective customer management is important key to successful customer service, we need to build the same quality in our data warehousing and data minin[r] ...
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Advanced Analytics Course Series
... This course covers advanced applications of SAS Enterprise Miner. Using some of the newest modeling nodes, you learn how to use advanced prediction techniques for classifi cation and regression. Current ...
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SAS Rule-Based Codebook Generation for Exploratory Data Analysis Ross Bettinger, Senior Analytical Consultant, Seattle, WA
... use Enterprise Miner rules for creating metadata */ , FREQ /* [optional] indicate that one observation represents &FREQ obs */ , INTERVAL= /* [optional] names of interval variables */ , MAXVALUE=10 /* ...
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SAS Does Data Science: How to Succeed in a Data Science Competition
... SAS Enterprise Miner to generate constellation plots of the frequent transactions in the general patient population and among patients flagged for manual review, and I found the two graphs to be ...
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In Close2, a high performance formal concept miner
... The usefulness of a high-performance concept miner has been shown by the analysis of a large, complex, context of gene expression data using the technique of context reduction though min[r] ...
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Learning Multi-Tree Classification Models with Ant Colony Optimization
... Although predictive accuracy improvements that multi-tree induction ACO-based algorithms made over the Ant-tree-Miner decision tree induction algo- rithm are not statistically significant according to the used ...
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Pooled Mining Makes Selfish Mining Tricky
... Bitcoin, the first successful cryptocurrency, uses the blockchain struc- ture and PoW mechanism to generate blocks. PoW makes an adversary difficult to control the network until she retains over 50% of the hashrate of ...
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2011 Data Miner Survey Highlights
... Continued Use question: What is the likelihood that you will continue to use this tool as your primary Data Mining software package over the next 3 years. Extremely Dissatisfied Extre[r] ...
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HUI Miner Algorithms for Transactional Databases
... Mining potential high utility itemsets(PHUIs) from global UP-Tree and local UP-Trees by UP-Growth with two strategies Discarding Local Unpromising items (DLU) and D[r] ...
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Dubious Big Data Strategical Miner
... The problem of mining constrained frequent patterns i.e., valid frequent patterns from Big Data that is Uncertain in nature can be done using the proposed system when user defined Minimu[r] ...
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CPrefMiner: A Bayesian Miner of Conditional Preferences
... our miner technique CPrefMiner consists in the discovering of a graph and a set of tables of conditional probabilities expressing the user preferences on individual ...
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