Webbased Data Mining for Quenching Data Analysis

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Web-based Data Mining for Quenching Data Analysis

• Aparna S. Varde, Makiko Takahashi,
• Mohammed Maniruzzaman, Richard D. Sisson Jr.
• Center for Heat Treating Excellence
• Worcester Polytechnic Institute
• Worcester, MA, USA.

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Introduction

• Web-based Data Mining Tool QuenchMiner being
  developed at CHTE, WPI
• Purpose Analysis of experimental data generated
  during quenching in the heat treating of
  materials
• Supports CHTE Quench Probe System that gathers
  experimental time-temperature data
• Functions
• Existing CHTE Database QuenchPAD on the Web
• Advanced Features e.g. querying complex data
• Decision Support System (DSS)

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Phase I Query Processing

• QuenchPAD on the Web for worldwide access
• Integral Store for complex data, flat files, raw
  data
• Advanced Features for queries, graphs etc.

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Phase II Decision Support System

• User Case Studies and Analysis
• Data Mining to acquire knowledge, build rules
• Decision-making using rules and cases

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Data Mining

• Discovering interesting patterns/trends in large
  data sets for guiding future decisions
• Most Important step of Knowledge Discovery in
  Databases (KDD)
• Data Mining Techniques Association Rules,
  Decision Trees etc.
• Rules and action paths fed into Knowledge Base to
  help decision-making

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Association Rules

• Statement of the type X gt Y, where X and Y are
  events or conditions
• Examples
• High carbon content gt More potential for
  distortion
• Excessive agitation gt Excessively high cooling
  rate
• Use of Water Quenchant gt Faster heat extraction
• Rules built from analysis of data using
  statistical measures, probability and domain
  knowledge
• Rules serve as basis for Decision Trees

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Decision Trees

• Representation of paths of action taken on
  occurrence of certain events
• Example tree for sub-case of distortion
• Suggests action, based on part geometry, to
  minimize distortion during quenching

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Demo of QuenchMiner

• Authorized users may get this from
  http//mpi.wpi.edu
• Query Processing screens with results
• DSS screens with sample analysis and decisions
• Screen-dumps of Demo shown here

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Current Status

• QuenchMiner Query Processing (Phase I) Alpha
  Version with real data in Demo
• QuenchMiner DSS (Phase II) Prototype with sample
  data in Demo
• Integral Store (Data Mart) has been built
• Knowledge Base (Rules and Decisions) is being
  built

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Conclusions

• QuenchMiner does Web-based Data Mining for the
  CHTE Quench Probe System
• It Performs Query Processing for Simple and
  Complex data types
• It will serve as a Decision Support System for
  CHTE member companies
• Future Issues Introducing Artificial
  Intelligence to build an Expert System