The quality of discovery patterns is crucial for building satisfactory systems of Web text mining. It is no doubt that we can find numerous frequent patterns from Web documents. However, there are many meaningless frequent patterns. This paper presents a novel method to improve the quality of discovered patterns. It generalizes discovered patterns into interesting topics in order to acquire the necessary useful information. The experimental results also verify the proposed method is promising.
Chris Stout合作论文数2Rocky Wagoner合作论文数2Benji Hegg合作论文数2Jesse Burns合作论文数1Melissa Robbins合作论文数1John Perrin合作论文数1Ning Zhong合作论文数Knowledge Information Systems Laboratory;Department of Information Engineering ;Maebashi Institute of Technology1Craig Rigdon合作论文数1Anna Higgins合作论文数1Ian Rickert合作论文数1Trevor Unsworth合作论文数1Justin Phillips合作论文数1Adam Steele合作论文数DePaul University , School of CTI1Kelly Havig合作论文数1Jamie Muir合作论文数1Chris Partyka合作论文数1Leah Moak合作论文数1Andy Bidwell合作论文数1Ben Slaughter合作论文数1Shawn Dieterich合作论文数1Niles Johnson合作论文数VIGRE Algebra Group, University of Georgia1John Chaussee合作论文数1Michael Gue合作论文数1Matt Gibson合作论文数1Bob Henderson合作论文数1
Yuefeng Li合作论文数School of Computer Science, Faculty of Science, Queensland university of technology1Sydney Watkins合作论文数1Nat Johnson合作论文数1Kristin Tintzman合作论文数1Angie Matos合作论文数1Adam Coe合作论文数1Erin Tofte合作论文数1Michael Albritton合作论文数1
Jason R. W. Merrick合作论文数Virginia Commonwealth University1Emma Graves合作论文数1Shawn Perrin合作论文数1Josh Woodard合作论文数1Jerrid Silva合作论文数1Teo Digiano合作论文数1Shane Ewing合作论文数1Cody Phillips合作论文数1Lolo NF合作论文数1Twilla Davis合作论文数1Jared Koskela合作论文数1Jack Revier合作论文数1Zac Krohn合作论文数1Dave Tingley合作论文数1
