DATA MINING
Introduction
11
, CONTENTS
◼ Why Data Mining?
◼ What Is Data Mining?
◼ KDD process
◼ What Kind of Data Can Be Mined?
◼ What Kind of Applications Are Targeted?
◼ Major Issues in Data Mining
2
, Why Data Mining?
◼ The Explosive Growth of Data: from terabytes to petabytes
◼ Major sources of abundant data
◼ Business: Web, e-commerce, transactions, stocks, …
◼ Science: Remote sensing, bioinformatics, scientific simulation, …
◼ Society and everyone: news, digital cameras, video channels
◼ Data -> Knowledge
◼ “Necessity is the mother of invention”—Data mining—Automated analysis of
massive data sets
3
Introduction
11
, CONTENTS
◼ Why Data Mining?
◼ What Is Data Mining?
◼ KDD process
◼ What Kind of Data Can Be Mined?
◼ What Kind of Applications Are Targeted?
◼ Major Issues in Data Mining
2
, Why Data Mining?
◼ The Explosive Growth of Data: from terabytes to petabytes
◼ Major sources of abundant data
◼ Business: Web, e-commerce, transactions, stocks, …
◼ Science: Remote sensing, bioinformatics, scientific simulation, …
◼ Society and everyone: news, digital cameras, video channels
◼ Data -> Knowledge
◼ “Necessity is the mother of invention”—Data mining—Automated analysis of
massive data sets
3
