Data mining: an industrial research perspective

作者: C. Apte

DOI: 10.1109/99.609825

关键词:

摘要: Just what exactly is data mining? At a broad level, it the process by which accurate and previously unknown information extracted from large volumes of data. This should be in form that can understood, acted upon, used for improving decision processes. Obviously, with this definition, mining encompasses set technologies, including warehousing, database management, analysis algorithms, visualization. The crux appeal new technology lies since they provide automated mechanisms sifting through extracting useful information. capability these coupled today's warehousing management technology, make corporate industrial possible. representation model such algorithms quite straightforward. Data considered to collection records, where each record fields. Using tabular model, are designed operate on contents, under differing assumptions, delivering results formats. (or as more popularly known nowadays) divided into three major categories based nature their extraction: predictive modeling (also called classification or supervised learning), clustering segmentation unsupervised frequent pattern extraction.

参考文章(8)
Sholom M. Weiss, Computer systems that learn ,(1990)
Casimir A. Kulikowski, Sholom M. Weiss, Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems Published in <b>1991</b> in San Mateo Calif) by Kaufmann. ,(1991)
Richard C. Dubes, Anil K. Jain, Algorithms for clustering data ,(1988)
HENRY SCHEFFE, The Analysis of Variance Soil Science. ,vol. 89, pp. 360- ,(1960) , 10.1097/00010694-196006000-00016
N. L. Hjort, Brian D. Ripley, Pattern recognition and neural networks ,(1996)
Rakesh Agrawal, Tomasz Imieliński, Arun Swami, Mining association rules between sets of items in large databases Proceedings of the 1993 ACM SIGMOD international conference on Management of data - SIGMOD '93. ,vol. 22, pp. 207- 216 ,(1993) , 10.1145/170035.170072
Mike James, Classification Algorithms ,(1986)
Peter J. Rousseeuw, Leonard Kaufman, Finding Groups in Data: An Introduction to Cluster Analysis ,(1990)