Vertical Data Mining on Very Large Data Sets

Author:

Perrizo, William

Place:

Hershey

Publisher:

IGI Global

Date published:

2008

Responsibility:

Ding, Qiang, jt.author

Ding, Qin, jt.author

Editor:

Wang, John

Journal Title:

Encyclopedia of Data Warehousing and Mining, Second Edition

Source:

Encyclopedia of Data Warehousing and Mining, Second Edition

Subject:

DATA MINING

Abstract:

Due to the rapid growth of the volume of data that are available, it is of importance and challenge to develop scalable methodologies and frameworks that can be used to perform efficient and effective data mining on large data sets. Vertical data mining strategy aims at addressing the scalability issues by organizing data in vertical layouts and conducting logical operations on vertical partitioned data instead of scanning the entire database horizontally in order to perform various data mining tasks.

Catagory URL:

http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-60566-0…

DOI:

https://library.au.int/10.4018/978-1-60566-010-3.ch311

CITATION: Perrizo, William. Vertical Data Mining on Very Large Data Sets edited by Wang, John . Hershey : IGI Global , 2008. Encyclopedia of Data Warehousing and Mining, Second Edition - Available at: https://library.au.int/vertical-data-mining-very-large-data-sets