1 / 20

Clementine Server A data mining software for business solution

Clementine Server is a distributed data mining software offering fast, scalable performance, a user-friendly visual interface, and powerful analytical techniques. Learn about its history, capabilities, functionalities, and applications.

lmatt
Télécharger la présentation

Clementine Server A data mining software for business solution

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Clementine ServerA data mining software for business solution

  2. What is Clementine Server Clementine Server is a large scale, distributed Data mining software package with fast and scalable performance, user-friendly visual workflow interface, powerful analytical techniques. .

  3. Brief Introduction to Clementine History of Clementine Series: • Clementine Series was initiated by Integral Solutions Ltd in 1994. • SPSS took over ISL in 1998. • SPSS introduced the latest version - Clementine Server 5.1 with distributed architecture in earlier 1999. Old version vs New version: Stand-alone application architecture vs Distributed architecture

  4. Architecture Stand-alone application architecture

  5. Architecture Distributed Architecture

  6. Capabilities Fast and scalable Performance with Distributed Architecture

  7. Capabilities Interactive and efficient mining process with Visual Workflow Interface  Visual Programming • Enables non-technical users to solve business problems.  Easy & Intuitive desktop • Allows rapid experimentation, and creative development of models.

  8. Palette forGeneratedModels Desktop ObjectPalette

  9. Clementine will report the predicted accuracy of the two used algorithms: neural network and rule induction.

  10. The target data will run through the model to produce knowledge Data Source Useful Knowledge

  11. Capabilities Multiple model building techniques: - Rule Induction - Graph - Clustering - Association Rules - Linear Regression - Neural Networks

  12. Functionalities  Classification Rule Induction, neural Networks  Association Rule Induction, Apriori  Clustering Kohonen Networks, Rule Induction  Sequence Rule Induction, Neural Networks, LinearRegression  Prediction Rule Induction, Neural Networks

  13. Applications  Predict market share  Detect possible fraud  Locate new retail sites  Assess financial risk  Analyze demographic trends and patterns

  14. Limitation  Clementine does not have effective incremental methods to update mining results.  Clementine does not support certain data sources i.e. Dbase, Foxpro.

  15. Summary • Clementine Server Fast and scalable performance on large datasets - unique distributed architecture Rapid and creative development of models - user-friendly visual workflow interface Multiple applications - various modeling techniques

  16.  Peng Wang  Chong Zhang  Hang Cui Clementine Study Group

More Related