Introduction to Data Mining; Overview of Web Mining

Sep 13, 2012

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2. Why Data Mining. Increased Availability of Huge Amounts of Datapoint-of-sale customer datadigitization of text, images, video, voice, etc.World Wide Web and Online collectionsData Too Large or Complex for Classical or Manual Analysisnumber of records in millions or billions high dimensional

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Introduction to Data Mining; Overview of Web Mining

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1. Introduction to Data Mining;Overview of Web Mining

An Introduction to Text Mining

Ravindra Jaju An Introduction to Text Mining Outline of the presentation Initiation/Introduction ... What makes text stand apart from other kinds of data? Classification Clustering Mining on “The Web” Data Mining What: Looking for information from usually large amounts of data

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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

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Data Mining

Data Mining. Overview. Lecture Objectives. After this lecture, you should be able to: Explain key data mining tasks in your own words. Draw an overview of the Data Mining Process . Discuss one broad business application of data mining.

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Mining Association Rules

Mining Association Rules. Part II. Data Mining Overview. Data Mining Data warehouses and OLAP (On Line Analytical Processing.) Association Rules Mining Clustering: Hierarchical and Partitional approaches Classification: Decision Trees and Bayesian classifiers Sequential Patterns Mining

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Text Mining Chapter 20

Text Mining Chapter 20. Text data . Structured data Unstructured data Text Video Audio. Applications of Text Mining – HR Forms. Employment applications Match with job requirements Processing of applications. Applications, cont. Medical triage/diagnosis

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Spatial and Temporal Data Mining

Spatial and Temporal Data Mining. V. Megalooikonomou Introduction to Data Mining ( based on notes by Jiawei Han and Micheline Kamber and on notes by Christos Faloutsos). Agenda. Motivation: Why data mining? What is data mining? Data Mining: On what kind of data? Data mining functionality

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Motivation: Why data mining What is data mining Data Mining: On what kind of data Data mining functionality Classificati

August 26, 2007. Data Mining: Concepts and Techniques. 2. Why Data Mining? . The Explosive Growth of Data: from terabytes to petabytesData collection and data availabilityAutomated data collection tools, database systems, Web, computerized societyMajor sources of abundant dataBusiness: Web, e-co

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Data Mining I: KnowledgeSEEKER

Data Mining I: KnowledgeSEEKER. Jennifer Davis Kelly Davis Saurabh Gupta Chris Mathews Shantea Stanford. Overview of Presentation. Introduction to Data Mining Methods and Products Tutorial: How to Use KnowledgeSEEKER? Exercises: How much did you learn?. What is Data Mining?.

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Data Mining

Agenda. What is Data Mining?Data Mining TasksChallenges in Data mining. What is Data Mining . Data mining is integral part of knowledge discovery in databases (KDD), which is the overall process of converting raw data into useful information. This process consists of series of transformation s

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Data Mining Chapter 26

Data Mining Chapter 26. Chapter 1. Introduction. Motivation: Why data mining? What is data mining? Data Mining: On what kind of data? Data mining functionality Are all the patterns interesting? Major issues in data mining. Motivation: “Necessity is the Mother of Invention”.

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Data Mining & Data Warehousing

Data Mining & Data Warehousing. Presented By: Group 4 Kirk Bishop Joe Draskovich Amber Hottenroth Brandon Lee Stephen Pesavento. Introduction. What is Data Mining? Data Mining is the process of collecting large amounts of raw data and transforming that data into useful information.

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An introduction to data mining --Who should provide Cake for PGF?

An introduction to data mining --Who should provide Cake for PGF?. Peng Yin MI 6 16/10/2011. Outline. Overview of data mining Background Data set and Tables What is data mining Decision tree Decision tree analysis Common Uses of Data Mining. Backgroud.

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Introduction to Data Mining

Introduction to Data Mining. Definition of data mining Knowledge Discovery process Data mining tasks. Examples of data mining. Marketing & Advertisement (Case of Bank of America)

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Introduction to Data Mining

Introduction to Data Mining. WHAT IS DATA MINING?. WHAT IS DATA MINING?. Data mining is the process of discovering: Meaningful new correlations Patterns Trends

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An Overview and Example of Data Mining

University of Rhode Island Department of Computer Science and Statistics March 30, 2007. An Overview and Example of Data Mining. Daniel T. Larose, Ph.D. Professor of Statistics Director, Data Mining @CCSU Editor, Wiley Series on Methods and Applications in Data Mining

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DATA MINING: AN INTRODUCTION

DATA MINING: AN INTRODUCTION. Presented by SANDEEP PARAITHAM. e-mail: sandeep5484@gmail.com Ph: 800 888 5484 (Mobile). Fundamentals of Data Mining Fundamentals of DWH DWH + Data Mining Data Mining Functionalities Classification of Data Mining Systems Major Issues in Data Mining.

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Data Mining: — Mining Text and Web Data — Han & Kambr

Data Mining: — Mining Text and Web Data — Han & Kambr. Babu Ram Dawadi. Mining Text and Web Data. Text mining, natural language processing and information extraction: An Introduction Text categorization methods Mining Web linkage structures Summary. <a href> Frank Rizzo </a> Bought

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DBMS support of the Data Mining

DBMS support of the Data Mining. Advisor : S.-Y. Hwang Ph.D D954020005 Tsung-Hsien Yang D954020006 Shi-Hwao Wang 1/22/2008. Agenda. Introduction to Data Mining The Promise of Data Mining KDD Process Data Mining Algorithms Data Mining Modeling and Language Conclusion.

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『 Data Mining 』

『 Data Mining 』. Start. By Jung, hae-sun. Contents. Introduction Definition Data Mining Applications Data Mining Tasks 5. Overview of the System 6 . Data Mining Analysis 7. Application 8. Reference. 1. Introduction. Data mining is related to - Data warehousing

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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

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Data Mining Techniques for CRM

Data Mining Techniques for CRM. Lakewood Resource And Referral Center 212 2 nd Street Lakewood NJ, 08701. Outlines. What is Data Mining? Data Mining Motivation Data Mining Applications Applications of Data Mining in CRM Data Mining Taxonomy Data Mining Techniques. Data Mining.

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Data Mining: Applications

Data Mining: Applications. Dr. Hany Saleeb. Applications and Trends in Data Mining. Data mining applications Data mining system products and research prototypes Additional themes on data mining Social impact of data mining Trends in data mining Summary. Data Mining Applications.

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Introduction to Data Mining; Overview of Web Mining

Introduction to Data Mining; Overview of Web Mining

Presentation Transcript

An Introduction to Text Mining

CS490D: Introduction to Data Mining Prof. Chris Clifton

Data Mining

Mining Association Rules

Text Mining Chapter 20

Spatial and Temporal Data Mining

Motivation: Why data mining What is data mining Data Mining: On what kind of data Data mining functionality Classificati

Data Mining I: KnowledgeSEEKER

Data Mining

Data Mining Chapter 26

Data Mining &amp; Data Warehousing

An introduction to data mining --Who should provide Cake for PGF?

Introduction to Data Mining

Introduction to Data Mining

An Overview and Example of Data Mining

DATA MINING: AN INTRODUCTION

Data Mining: — Mining Text and Web Data — Han &amp; Kambr

DBMS support of the Data Mining

『 Data Mining 』

Chapter 1. Introduction

Data Mining Techniques for CRM

Data Mining: Applications

Data Mining & Data Warehousing

Data Mining: — Mining Text and Web Data — Han & Kambr