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KDD
2008
ACM
246views Data Mining» more  KDD 2008»
16 years 7 months ago
Direct mining of discriminative and essential frequent patterns via model-based search tree
Frequent patterns provide solutions to datasets that do not have well-structured feature vectors. However, frequent pattern mining is non-trivial since the number of unique patter...
Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Y...
IUI
2010
ACM
16 years 4 months ago
An adaptive calendar assistant using pattern mining for user preference modelling
In this paper, we present SmartCal, a calendar assistant that suggests appointment attributes, such as time, day, duration, etc., given any combination of initial user input attri...
Alfred Krzywicki, Wayne Wobcke, Anna Wong
KDD
1999
ACM
220views Data Mining» more  KDD 1999»
15 years 11 months ago
Efficient Mining of Emerging Patterns: Discovering Trends and Differences
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
Guozhu Dong, Jinyan Li
BMCBI
2005
155views more  BMCBI 2005»
15 years 7 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
KDD
2009
ACM
232views Data Mining» more  KDD 2009»
16 years 7 months ago
Classification of software behaviors for failure detection: a discriminative pattern mining approach
Software is a ubiquitous component of our daily life. We often depend on the correct working of software systems. Due to the difficulty and complexity of software systems, bugs an...
David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo,...