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AUSDM
2007
Springer
140views Data Mining» more  AUSDM 2007»
16 years 25 days ago
The application of data mining techniques to characterize agricultural soil profiles
The advances in computing and information storage have provided vast amounts of data. The challenge has been to extract knowledge from this raw data; this has lead to new methods ...
Leisa Armstrong, Dean Diepeveen, Rowan Maddern
AUSDM
2007
Springer
164views Data Mining» more  AUSDM 2007»
16 years 25 days ago
SemGrAM - Integrating Semantic Graphs into Association Rule Mining
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
John F. Roddick, Peter Fule
HICSS
2006
IEEE
138views Biometrics» more  HICSS 2006»
16 years 21 days ago
An Efficient Algorithm for Real-Time Frequent Pattern Mining for Real-Time Business Intelligence Analytics
Finding frequent patterns from databases has been the most time consuming process in data mining tasks, like association rule mining. Frequent pattern mining in real-time is of in...
Rajanish Dass, Ambuj Mahanti
ICPADS
2006
IEEE
16 years 20 days ago
Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment
When computationally feasible, mining extremely large databases produces tremendously large numbers of frequent patterns. In many cases, it is impractical to mine those datasets d...
Mohammad El-Hajj, Osmar R. Zaïane
IDEAS
2006
IEEE
98views Database» more  IDEAS 2006»
16 years 20 days ago
PAID: Mining Sequential Patterns by Passed Item Deduction in Large Databases
Sequential pattern mining is very important because it is the basis of many applications. Yet how to efficiently implement the mining is difficult due to the inherent characteri...
Zhenglu Yang, Masaru Kitsuregawa, Yitong Wang