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» Mining for Useful Association Rules Using the ATMS
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IISWC
2006
IEEE
14 years 1 months ago
An Architectural Characterization Study of Data Mining and Bioinformatics Workloads
— Data mining is the process of automatically finding implicit, previously unknown, and potentially useful information from large volumes of data. Recent advances in data extrac...
Berkin Özisikyilmaz, Ramanathan Narayanan, Jo...
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
14 years 8 months ago
Mining quantitative correlated patterns using an information-theoretic approach
Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...
Yiping Ke, James Cheng, Wilfred Ng
CORR
2010
Springer
208views Education» more  CORR 2010»
13 years 7 months ago
Discovering potential user browsing behaviors using custom-built apriori algorithm
Most of the organizations put information on the web because they want it to be seen by the world. Their goal is to have visitors come to the site, feel comfortable and stay a whi...
Sandeep Singh Rawat, Lakshmi Rajamani
BTW
1999
Springer
145views Database» more  BTW 1999»
13 years 12 months ago
A Multi-Tier Architecture for High-Performance Data Mining
Data mining has been recognised as an essential element of decision support, which has increasingly become a focus of the database industry. Like all computationally expensive data...
Ralf Rantzau, Holger Schwarz
KDD
1997
ACM
154views Data Mining» more  KDD 1997»
13 years 11 months ago
Autonomous Discovery of Reliable Exception Rules
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
Einoshin Suzuki