Clementine Server Clementine Server A data mining software for business solution.

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Clementine Server Clementine Server A data mining software for business solution
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Transcript of Clementine Server Clementine Server A data mining software for business solution.

Page 1: Clementine Server Clementine Server A data mining software for business solution.

Clementine ServerClementine Server A data mining software for business solution

Page 2: Clementine Server Clementine Server A data mining software for business solution.

What is Clementine ServerWhat 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.

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Brief Introduction to ClementineBrief 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

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ArchitectureArchitectureStand-alone application architecture

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ArchitectureArchitectureDistributed ArchitectureDistributed Architecture

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CapabilitiesCapabilities

Fast and scalable Performance with Distributed Architecture

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CapabilitiesCapabilities

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.

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Palette forGeneratedModels

Desktop

ObjectPalette

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Clementine will report the predicted accuracy of the two

used algorithms: neural network and rule induction.

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The target data will run through the model to produce knowledge

Data Source

Useful Knowledge

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CapabilitiesCapabilities

Multiple model building techniques:

- Rule Induction

- Graph

- Clustering

- Association Rules

- Linear Regression

- Neural Networks

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FunctionalitiesFunctionalities

Classification Rule Induction, neural Networks

Association Rule Induction, Apriori

Clustering Kohonen Networks, Rule Induction

Sequence Rule Induction, Neural Networks, Linear Regression

Prediction Rule Induction, Neural Networks

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ApplicationsApplications

Predict market share

Detect possible fraud

Locate new retail sites

Assess financial risk

Analyze demographic trends and patterns

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LimitationLimitation

Clementine does not have effective incremental

methods to update mining results.

Clementine does not support certain data sources

i.e. Dbase, Foxpro.

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SummarySummary

• 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

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Clementine Study Group

Peng Wang

Chong Zhang

Hang Cui