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VLDB
1999
ACM
188views Database» more  VLDB 1999»
14 years 1 months ago
SPIRIT: Sequential Pattern Mining with Regular Expression Constraints
Discovering sequential patterns is an important problem in data mining with a host of application domains including medicine, telecommunications, and the World Wide Web. Conventio...
Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim
PAKDD
2011
ACM
419views Data Mining» more  PAKDD 2011»
12 years 11 months ago
DISC: Data-Intensive Similarity Measure for Categorical Data
Abstract. The concept of similarity is fundamentally important in almost every scientific field. Clustering, distance-based outlier detection, classification, regression and sea...
Aditya Desai, Himanshu Singh, Vikram Pudi
SC
2005
ACM
14 years 2 months ago
Bridging the Macro and Micro: A Computing Intensive Earthquake Study Using Discovery Net
We present the development and use of a novel distributed geohazard modeling environment for the analysis and interpretation of large scale earthquake data sets. Our work demonstr...
Yike Guo, Jian Guo Liu, Moustafa Ghanem, Kyran Mis...
ICDM
2006
IEEE
110views Data Mining» more  ICDM 2006»
14 years 3 months ago
A mining method of communities keeping tacit knowledge
The research community plays a very important role in holding valuable scientific knowledge. The authors propose a community mining system which helps to find communities of res...
Ryutaro Ichise, Hideaki Takeda, Satoshi Kouno, Tai...
KDD
2006
ACM
198views Data Mining» more  KDD 2006»
14 years 9 months ago
Event detection from evolution of click-through data
Previous efforts on event detection from the web have focused primarily on web content and structure data ignoring the rich collection of web log data. In this paper, we propose t...
Qiankun Zhao, Tie-Yan Liu, Sourav S. Bhowmick, Wei...