of 31
All materials on our website are shared by users. If you have any questions about copyright issues, please report us to resolve them. We are always happy to assist you.

Chapter 1 Data Mining Lecture Note



Publish on:

Views: 5 | Pages: 31

Extension: PDF | Download: 0

introdution to data mining
  Data Mining and Warehousing Chapter OneIntroduction  2  Why Data Mining?  The Explosive Growth of Data: from terabytes to petabytes  Data collection and data availability  Automated data collection tools, database systems, Web, computerized society  Major sources of abundant data: Business, science and society  The computing power is available and is affordable  DM commercial products and machine learning algorithms are available  The competitive pressure is very strong ã How to gain competitive advantage? ã How to control the volatile market? ã How to satisfy customers (prosumers) need?  “Necessity is the mother of invention”—  Data mining  —  Automated analysis of massive data sets. We are drowning in data, but starving for knowledge!   We are data rich, but information poor. 3  4  What Is Data Mining?  Data mining (knowledge discovery from data)  Extraction of interesting ( non-trivial,implicit, previously unknownand potentially useful)patterns or knowledge from huge amount of data  Data mining: a misnomer?  Alternative names  Knowledge discovery (mining) in databases (KDD), knowledge extraction, data/pattern analysis, data archeology, data dredging, information harvesting, business intelligence, etc.  What is not data mining?  Simple search and query processing  Expert systems or small statistical programs
We Need Your Support
Thank you for visiting our website and your interest in our free products and services. We are nonprofit website to share and download documents. To the running of this website, we need your help to support us.

Thanks to everyone for your continued support.

No, Thanks