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CS490D: Introduction to Data Mining Chris Clifton

CS490D: Introduction to Data Mining Chris Clifton

CS490D: Introduction to Data Mining Chris Clifton. January 12, 2004 Course Overview. What Is Data Mining?. Data mining (knowledge discovery from data) Extraction of interesting ( non-trivial, implicit, previously unknown and potentially useful) patterns or knowledge from huge amount of data

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653 views • 53 slides
CS490D: Introduction to Data Mining Prof. Chris Clifton

CS490D: Introduction to Data Mining Prof. Chris Clifton

CS490D: Introduction to Data Mining Prof. Chris Clifton. March 8, 2004 Midterm Review Midterm Wednesday, March 10, in class. Open book/notes. Seminar Thursday: Support Vector Machines. Massive Data Mining via Support Vector Machines Hwanjo Yu, University of Illinois

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660 views • 51 slides
Machine Learning, Data Mining, and Knowledge Discovery: An Introduction

Machine Learning, Data Mining, and Knowledge Discovery: An Introduction

Machine Learning, Data Mining, and Knowledge Discovery: An Introduction. Prof. Ahmed Sameh PSU. Course Outline. Machine Learning input, representation, decision trees Weka machine learning workbench Data Mining associations, deviation detection, clustering, visualization Case Studies

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403 views • 39 slides
Machine Learning, Data Mining, and Knowledge Discovery: An Introduction

Machine Learning, Data Mining, and Knowledge Discovery: An Introduction

Machine Learning, Data Mining, and Knowledge Discovery: An Introduction. Gregory Piatetsky-Shapiro KDnuggets. Course Outline. Machine Learning input, representation, decision trees Weka machine learning workbench Data Mining associations, deviation detection, clustering, visualization

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399 views • 39 slides
Machine Learning, Data Mining, and Knowledge Discovery: An Introduction

Machine Learning, Data Mining, and Knowledge Discovery: An Introduction

Machine Learning, Data Mining, and Knowledge Discovery: An Introduction. Gregory Piatetsky-Shapiro. Course Outline. Machine Learning input, representation, decision trees Weka machine learning workbench Data Mining associations, deviation detection, clustering, visualization

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520 views • 32 slides

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