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» Mining Frequent Itemsets Using Re-Usable Data Structure
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KDD
2001
ACM
262views Data Mining» more  KDD 2001»
14 years 8 months ago
LOGML: Log Markup Language for Web Usage Mining
Web Usage Mining refers to the discovery of interesting information from user navigational behavior as stored in web access logs. While extracting simple information from web logs...
John R. Punin, Mukkai S. Krishnamoorthy, Mohammed ...
CIKM
2003
Springer
14 years 28 days ago
Question answering from the web using knowledge annotation and knowledge mining techniques
We present a strategy for answering fact-based natural language questions that is guided by a characterization of realworld user queries. Our approach, implemented in a system cal...
Jimmy J. Lin, Boris Katz
ICDE
2004
IEEE
115views Database» more  ICDE 2004»
14 years 9 months ago
Unordered Tree Mining with Applications to Phylogeny
Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data, such as trees and graphs. FSM finds many applications in bioinformat...
Dennis Shasha, Jason Tsong-Li Wang, Sen Zhang
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
11 years 10 months ago
Differentially private transit data publication: a case study on the montreal transportation system
With the wide deployment of smart card automated fare collection (SCAFC) systems, public transit agencies have been benefiting from huge volume of transit data, a kind of sequent...
Rui Chen, Benjamin C. M. Fung, Bipin C. Desai, N&e...
FIMI
2004
212views Data Mining» more  FIMI 2004»
13 years 9 months ago
A Space Optimization for FP-Growth
Frequency mining problem comprises the core of several data mining algorithms. Among frequent pattern discovery algorithms, FP-GROWTH employs a unique search strategy using compac...
Eray Özkural, Cevdet Aykanat