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Vertical Data Mining
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Author(s): William Perrizo (North Dakota State University, USA), Qiang Ding (Concordia College,USA), Qin Ding (Pennsylvania State University, USA)and Taufik Abidin (North Dakota State University, USA)
Copyright: 2005
Pages: 4
Source title:
Encyclopedia of Data Warehousing and Mining
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-59140-557-3.ch222
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Abstract
The volume of data keeps increasing. There are many data sets that have become extremely large. It is of importance and a challenge to develop scalable methodologies 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.
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