'Data mining system' presentation slideshows

Chapter 1. Introduction

Chapter 1. Introduction. Motivation: Why data mining? What is data mining? Data Mining: On what kind of data? Data mining functionality Major issues in data mining. Why Data Mining?. The Explosive Growth of Data: from terabytes to petabytes Data collection and data availability

4.03k views • 323 slides

Chapter 4: Data Mining Primitives, Languages, and System Architectures

Chapter 4: Data Mining Primitives, Languages, and System Architectures. Data mining primitives: What defines a data mining task? A data mining query language Design graphical user interfaces based on a data mining query language Architecture of data mining systems Summary. Unit II.

793 views • 77 slides

CS490D: Introduction to Data Mining Prof. Chris Clifton

CS490D: Introduction to Data Mining Prof. Chris Clifton. March 12, 2004 Data Mining Process. How to Choose a Data Mining System?. Commercial data mining systems have little in common Different data mining functionality or methodology

902 views • 64 slides

Applications and Trends in Data Mining

Applications and Trends in Data Mining. Data mining applications Data mining system products and research prototypes Additional themes on data mining Social impacts of data mining Trends in data mining Summary. Data Mining Applications.

1.44k views • 54 slides

Data Mining Concepts and Research Trends

KISS-SIGDB Tutorial 1998. Data Mining Concepts and Research Trends. Do-Heon LEE Database Laboratory Dept. of Computer Science Chonnam National University. 1998. 5. 21. Table of Contents. Definition and Motivation of Data Mining Classification of Data Mining Techniques

545 views • 34 slides

Data Warehouse Fundamentals

Data Warehouse Fundamentals. Rabie A. Ramadan, PhD 2. What did you do in Your Assignment ?. For an airlines company, how can strategic information increase the number of frequent flyers? Discuss giving specific details.

1.41k views • 34 slides

HTM 304 Fall 07

Introduction to Management Information Systems Chapter 9 Business Intelligence and Knowledge Management. HTM 304 Fall 07. Business Intelligence System. Chapter 7 & 8: Operational data and information. Information Flow designed to facilitate corporate daily operation

195 views • 19 slides

Data Mining: What? WHY? HOW?

Gufran Ahmad. Data Mining: What? WHY? HOW?. Contents. What is Data Mining? Data Mining / KDD process Different aspects of Data Mining Why Data Mining? Data Mining in Business Examples How to do Data Mining?. What is Data Mining ?.

514 views • 14 slides

Tradeoffs

Interactive Data Mining and Business Applications Rayid Ghani Collaboration with Chad Cumby, Divna Djordjevic, Andy Fano, Marko Krema, Mohit Kumar, Abhimanyu Lad, Yiming Yang. Tradeoffs. Cost-Sensitive Active Learning. Exploration-Exploitation Tradeoffs.

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Introduction

145 views • 1 slides