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CORR
2010
Springer
219views Education» more  CORR 2010»
14 years 9 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor
ISCI
2007
122views more  ISCI 2007»
14 years 9 months ago
On the strength of hyperclique patterns for text categorization
The use of association patterns for text categorization has attracted great interest and a variety of useful methods have been developed. However, the key characteristics of patte...
Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen
DAWAK
2000
Springer
15 years 1 months ago
Data Mining Support in Database Management Systems
Abstract. The most popular data mining techniques consist in searching databases for frequently occurring patterns, e.g. association rules, sequential patterns. We argue that in co...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
105
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ADC
2003
Springer
182views Database» more  ADC 2003»
15 years 2 months ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan
CMG
2001
14 years 10 months ago
Effective Use of the KDD Process and Data Mining for Computer Performance Professionals
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
Susan P. Imberman