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Lab 0. High-Performance Data Mining: Problems and Current Tools. Monday, May 15, 2000 William H. Hsu Department of Computing and Information Sciences, KSU http://www.cis.ksu.edu/~bhsu. Data Mining Software Practicum. Lab and Implementation Project Objectives

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Lab 0

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  1. Lab 0 High-Performance Data Mining: Problems and Current Tools Monday, May 15, 2000 William H. Hsu Department of Computing and Information Sciences, KSU http://www.cis.ksu.edu/~bhsu

  2. Data Mining Software Practicum • Lab and Implementation Project Objectives • Learn to work with some KDD software tools • Understand modern ML-based object oriented HP-KDD systems • Main tools: MLC++/MineSet and NCSA D2K • Implementation Project Milestones • Project plan • Due Monday, May 22, 2000 (Homework 1) • Short writeup: 1-2 pages design plus simple specification document • Project interim report • Due Wednesday, May 31, 2000 (Homework 2) • Preliminary itinerary and documentation • Comparative results • Using software tools • Due Thursday, June 8, 2000 (machine problem; Homework 3) • Exposure to: MineSet; SNNS, NS3; Hugin, BKD;GPSys, Genesis

  3. Software Environments for KDD:NCSA D2K

  4. Rapid KDD Development Environment KDD and Software Engineering:D2K Framework

  5. Environment (Data Model) Knowledge Base Performance Element Learning Element Performance Element:Decision Support Systems (DSS) • Model Identification (Relational Database) • Specify data model • Group attributes by type (dimension) • Define queries • Prediction Objective Identification • Identify target function • Define hypothesis space • Transformation of Data • Reduce data: e.g., decrease frequency • Selectrelevant data channels (given prediction objective) • Integrate models, sources of data (e.g., interactively elicited rules) • Supervised Learning • Analysis and Assimilation: Performance Evaluation using DSS

  6. 6500 news stories from the WWW in 1997 NCSA D2K - http://www.ncsa.uiuc.edu/STI/ALG Cartia ThemeScapes - http://www.cartia.com Database Mining Reasoning (Inference, Decision Support) Destroyed Normal Extinguished Ignited Fire Alarm Engulfed Flooding Planning, Control DC-ARM - http://www-kbs.ai.uiuc.edu Some Interesting Industrial Applications

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