XLMiner is a data mining add-in for Microsoft Excel that allows users to analyze and mine data within Excel worksheets. It includes features for partitioning data, classification, association rules, prediction, time series analysis, and charting. The 30-day demo version can be downloaded for free from the company's website and supports Excel. It provides an easy to use interface for novices to explore data mining techniques.

1. Introduction toXLMiner™The Data mining add-in for Microsoft Excel.XLMiner and Microsoft Office are registered trademarks of the respective owners.

2. Our Agenda for this Presentation:Introduction to Data Mining.Introduction to XLMiner.How to get XLMiner.Overview of the features of XLMiner.Brief description of the features of XLMiner:Partition Data

3. Data Utilities – (Sampling)

4. Classification

5. Affinity – (Association Rules)

6. Prediction

7. Time Series Analysis

8. Chartinghttp://dataminingtools.net

9. Introduction to Data MiningDefinition:Data mining (or Knowledge Discovery) refers to the process of analyzing a give data set from different precepts and scenarios in order to discover patterns in the given data set Data mining is becoming an increasingly important tool to transform data into information. This information can help reveal the hidden trends about products, customer, market, employees and other factors critical for the success of a company. Data mining It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery, machine learning, Biotechnology etc.http://dataminingtools.net

10. Introduction to XLMinerXLMiner™ is a comprehensive data mining add-in for Excel.XLMiner can be used to mine data available in Excel worksheets.It includes capabilities that allow a miner to work with partitioning, neural networks, classification and regression trees, association rules, nearest neighbors, etc. With is ease of use and learning , XLMiner serves to be the perfect candidate tool to wet your feet in Data Mining as a novice miner.http://dataminingtools.net

11. Introduction to XLMiner XLMiner can work with large data sets which may exceed the limits in Excel. A standard procedure is to sample data from a larger database, bring it into Excel to fit a model, and, in the case of supervised learning routines, score output back out to the database. In the standard edition of XLMiner, this feature is supported for Oracle, SQL Server and Access databases.XLMiner is available in 4 versions:Demo edition (functional 30-day web download)

12. Education edition

13. Professional edition

14. Academic Research editionThe Demo edition and Educational Editions support only Excel.http://dataminingtools.net

15. How to get XLMinerThe 30 day demo edition can be downloaded for free from the company website:http://www.resample.com/xlminer/index.shtmlSystem Requirements:Once the download is complete , an installer wizard is opened. Follow the instruction in the wizard, and on completion open Excel and click on the “Add-Ins” tab to use XLMiner or double click on the XLMiner desktop icon.http://dataminingtools.net

16. Overview of the features of XLMinerPartition DataData Utilities – (Sampling)ClassificationAffinity – (Association Rules)PredictionTime Series AnalysisData Reduction and exploration.Charting.http://dataminingtools.net

17. Brief description of the features of XLMiner: Partition DataUsing this tool we can divide the data sets into mutually exclusive partitions i.e. partitions that do not overlap.Generally we partition the data set into 3 parts-Training Set.Validation set.Test set.We can create the partitions in two ways:Standard Partition: A default 60:40 Training :Validation set ratio partition is set as default, or we may specify it .Oversampling: Used when we want a particular data item which is important but under-represented in the set.http://dataminingtools.net