XLMiner-資安軟體/研究分析軟體/心理學軟體/新永資訊有限公司

XLMiner

XLMiner

  • XLMiner
  • 編號
  • 類別
    研究分析軟體
  • 介紹
    XLMiner™ is a comprehensive data mining add-in for Excel. Data mining is a discovery-driven data analysis technology used for identifying patterns and relationships in data sets. With overwhelming amounts of data now available from transaction systems and external data sources, organizations are presented with increasing opportunities to understand their data and gain insights into it. Data mining is still an emerging field, and is a convergence of fields like statistics, machine learning, and artificial intelligence.
  • 價格

 

XLMiner 資料採礦軟體
 
Data mining in Excel
XLMiner® for Windows is the only comprehensive data mining add-in for Excel, with neural nets, classification and regression trees, logistic regression, linear regression, Bayes classifier, K-nearest neighbors, discriminant analysis, association rules, clustering, principal components.XLMiner Version 3 is now available, with new time series analysis, plus the ability to save models for later review, plus the ability to score saved models to new data.

XLMiner comes in 4 editions. All require Windows (XP, Vista, or Windows 7) and Excel 2000, 2003, 2007 and 2010.
     • Demo edition (functional 30-day web download)
     •  Education edition
     •  Professional edition
     •  Academic Research edition
The Academic Research edition is virtually the same as the Professional edition, except that purchasers must be on the faculty of a college or university. To learn about the capabilities of the different versions, click here.

Online course in data mining
Statistics.com offers online courses in data mining featuring, some of which illustrate the use of XLMiner. Click here for more information

Suggested text: From Wiley Books, Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner, features XLMiner and provides both a theoretical and practical understanding of the key methods of classification, prediction, reduction and exploration that are at the heart of data mining. In addition, it presents a business decision-making context for these methods and uses real business cases and data to illustrate the application and interpretation of these methods.

Data Pre-processing with Talend Open Studio
An important, and time consuming part of data mining is the work required to get data into proper shape to permit data mining algorithms to work. Talend Open Sutdio is an open source program that helps with this-click here to read more and here to download.
 
Data Mining Add-In For Excel
Are you interested in data mining, but lacking access to costly data mining tools? 
Looking for a package that's comprehensive yet affordable? 
XLMiner offers a full repertoire of techniques for classification, prediction, affinity analysis, data exploration, and data reduction. It is in use at
     •  Northrup Grumman                         •   Monsanto
     •  National Institutes of Health           •   ExxonMobil
     •  Westing house (Savannah River)    •  US Army
     •  JD Powers                                          •   FDA
     •  NASA                                                 •  Experion
     •  Bell Atlantic                                       •  National Inst. of Standards & Technology
     •  Pitney Bowes                                     •   Fidelity Investments
     •  Centers for Disease Control             •   Blackstone Group
     • more...
The educational version (used at at MIT's Sloan School, Bowling Green State Univ., Duke's Fuqua School, Georgetown's McDonough School, Indiana Univ., UCLA's Anderson School and elsewhere), is highly affordable - as little as $49 per student. XLMiner combines Cytel's accurate and reliable algorithms (implemented as DLL's) with Excel's familiar interface and workspace, and includes facilities for sampling from and scoring to large databases. Works with Excel 2000 and later.
Read a comparative review of XLMiner (along with SAS Enterprise Miner, SPSS Clementine, GhostMiner and Quadstone) in The American Statistician, November 2003. "...easy-to-use...an excellent, inexpensive add-on that greatly expands the capabilities of Excel."

XLMiner Features
  •  Partitioning into training, validation, and test datasets 
  •  Multiple linear regression with subset selection 
  •  Logistic regression with subset selection 
  •  Discriminant analysis 
  •  Naive Bayes classification 
  •  Classification and regression trees 
  •  k-Nearest neighbors 
  •  Neural networks 
  •  Association rules 
  •  Principal components 
  •  k-Means clustering 
  •  Hierarchical clustering
  •  Time series
  •  Save models for later review
  •  Score saved models (separate XLMcalc module)

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PVsyst 太陽能系統
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