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» Mining Patterns in Long Sequential Data with Noise
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SAC
2004
ACM
14 years 1 months ago
A new algorithm for gap constrained sequence mining
The sequence mining problem consists in finding frequent sequential patterns in a database of time-stamped events. Several application domains require limiting the maximum tempor...
Salvatore Orlando, Raffaele Perego, Claudio Silves...
APWEB
2006
Springer
13 years 11 months ago
An Effective System for Mining Web Log
The WWW provides a simple yet effective media for users to search, browse, and retrieve information in the Web. Web log mining is a promising tool to study user behaviors, which co...
Zhenglu Yang, Yitong Wang, Masaru Kitsuregawa
KES
2004
Springer
14 years 1 months ago
Consumer Behavior Analysis by Graph Mining Technique
In this paper we discuss how graph mining system is applied to sales transaction data so as to understand consumer behavior. First, existing research of consumer behavior analysis ...
Katsutoshi Yada, Hiroshi Motoda, Takashi Washio, A...
KDD
1998
ACM
122views Data Mining» more  KDD 1998»
13 years 12 months ago
Memory Placement Techniques for Parallel Association Mining
Many data mining tasks (e.g., Association Rules, Sequential Patterns) use complex pointer-based data structures (e.g., hash trees) that typically suffer from sub-optimal data loca...
Srinivasan Parthasarathy, Mohammed Javeed Zaki, We...
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
13 years 12 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh